Location: Global
Rethinking Gender: Economic and Social Costs of Gender Inequality
Kyiv School of Economics (KSE) invites you to the international conference on gender economics “Rethinking Gender: Economic and Social Costs of Gender Inequality” that will be held online on April 7-8, 2021.
The conference will feature a combination of keynote speakers, paper presentations, and panel discussions. The objective of this conference is to bring together academic and policy researchers in the region to discuss recent findings and to promote the use of evidence-based decision making.
Call for Papers
We invite academic and policy researchers at all stages in their careers to submit papers and attend the KSE conference.
Researchers are invited to submit (two options are available):
- a) Either a full paper with an abstract of 400-600 words
- b) or an extended abstract of 800-1600 words, including brief motivation and background (outline of the policy context and/or academic literature informing the research), sufficient description of the data used in the analysis, methodological approach and significance (description and application of the original research findings reported in the paper), and key results. Include title, authors, affiliations, and the email address of the corresponding author.
Submitted abstracts and papers will be peer-reviewed based on originality, research depth, accuracy, and relevance to the conference theme. The authors chosen to present will be invited to submit full papers.
Topics of Interest
Papers should explicitly relate to the economic and social costs of gender inequality. Topics of interest for submission include, but are not limited to:
- COVID-19 and gender equality
- Gender and labor market outcomes
- Gender and political empowerment
- Gender aspects of financial inclusion
- Intra-household choices
We particularly seek participants who do research on gender issues at the institutions based in Eastern Europe or conduct research on gender issues related to populations in Eastern Europe. We accept submissions in English and Ukrainian. There is no registration fee.
Papers presented at the conference will be eligible for consideration for a special issue of Comparative Economic Studies. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference.
Important Dates
- Deadline for extended abstract submissions: January 5, 2021
- Notification of acceptance: February 1, 2021
- Full-paper submission deadline: March 1, 2021
- Conference dates: April 7-8, 2021
Keynote Speakers
Paula England
Paula England is a Professor at New York University, Chair of the Department of Sociology. She was President of the American Sociological Association in 2014-2015. In 2018, she was elected to the US National Academy of Sciences. Her research is focused on gender inequality at work and at home; she studies the sex gap in pay, occupational segregation, how couples divide housework, and the wage penalty for motherhood.
Michèle Tertilt
Michèle Tertilt is a Professor of Economics at the University of Mannheim. Her research concentrates on macroeconomics with a special focus on development and intra-family interactions. Michèle Tertilt was awarded the Gottfried Wilhelm Leibniz Preis for her works that bridge the gaps between family economics, development and macroeconomics. She also received the Yrjö Jahnsson Award for the contribution in theoretical and applied research that is significant to economics in Europe.
Academic Committee
- Yaroslava Babych, Assistant Professor, Academic Director of ISET Policy Institute
- Kateryna Bornukova, Academic Director, BEROC, Belarus
- Pamela Campa, Assistant Professor, Stockholm Institute of Transition Economics, Sweden
- Ina Ganguli, Associate Professor, University of Massachusetts Amherst
- Nicolas Gavoille, Associate Professor, Stockholm School of Economics, Riga
- Yuriy Gorodnichenko, Quantedge Presidential Professor of Economics, University of Berkley, USA
- Michal Myck, Director, Centre for Economic Analysis, Poland
- Olena Nizalova, Associate Professor, University of Kent, UK
- Tairi Rõõm, Head of Research, Central Bank of Estonia
- Anna Zasova, Researcher, The Baltic International Centre for Economic Policy Studies, Latvia
- Andrea Weber, Professor, Central European University, Hungary
- Elena Bobeica, Senior Economist, European Central Bank
Economic Perspectives on Domestic Violence | Insights from the FROGEE Webinar | Part 2
This policy brief is the second in a series of two briefs summarizing the research presented at the online workshop “Economic Perspectives on Domestic Violence”, organized as part of the Forum for Research on Gender Economics (FROGEE). The current brief offers an overview of the presentations that specifically studied the implications of the Covid-19 crisis for domestic violence. The remaining research presented at the workshop is addressed in the first policy brief of this series.
Introduction
As governments around the globe are continuing to enforce contagion management strategies to limit the spread of COVID-19, many experts are voicing their concerns about a different kind of pandemic. Alarming reports have surfaced from a wide range of countries suggesting significant increases in domestic violence (DV), including one of its most prevalent forms – intimate partner violence (IPV).
In Europe, the number of IPV emergency calls has increased by 60%, according to the UN’s regional director of Europe (WHO, May 07, 2020). In the Hubei province of China, a police department reported three times as many DV cases in February 2020 compared to the same month in 2019 (Axios, March 2020). In El Salvador, 95% of local and government DV support services closed due to the pandemic, while reports show that the demand for such services among women increased by 70% (IRC, 2020). Reduced social interaction and mobility, high rates of unemployment, and restricted access to support services are just some indirect consequences of the pandemic that are likely to exacerbate DV.
At the same time, data from other countries have suggested the opposite trends. In the Italian region of Lombardy, the number of women requesting support services decreased, although the region was one of the most severely hit by the pandemic (Giussy et.al., 2020). While DV hotlines in the US anticipated increases in calls for support, some regions experienced a 50% decline (The Guardian, April 2020). Many have stressed that these trends have a much darker side – underreporting. Measures aimed at limiting the spread of COVID-19, as well as the fear of getting infected, force victims to stay at home in direct contact with their abusive partner, limiting their ability to report on the violence, and restricting access to support services such as women’s shelters.
As much as pandemic-related trends in DV have heightened the concerns about the well-being of victims and increased the need for sufficient and adequate policies, the unique settings created by the pandemic have offered new opportunities for researchers to better understand the underlying causes of DV.
This policy brief is the second in a series of two briefs summarizing the papers presented in the workshop entitled “Economic Perspectives on Domestic Violence”. The workshop was organized as a part of the Forum for Research on Gender Economics (FROGEE) supported by the Swedish International Development Cooperation Agency (SIDA).
Domestic Violence and COVID-19
While studying different research settings, all the papers summarized in this brief examine the relationship between COVID-19 and DV. Most of them are focused on the effects of lockdown measures and highlight the need of combining measurements of DV in order to get an encompassing picture of the phenomenon.
Damian Clarke presented evidence on the DV-implications of quarantine in Chile. To rule out the possibility that an increase in DV was caused by other factors brought about by the pandemic, Clarke and co-authors take advantage of Chile’s rolling quarantines (i.e., regional quarantines implemented at different points in time) and compare municipalities that imposed lockdowns with those that did not. At the start of the pandemic in March, the nation-wide number of calls to domestic violence hotlines increased by 250%, and by 350% for municipalities that imposed quarantines. Police reporting on DV decreased by 11% nation-wide, and by around 27% in quarantined areas. The sharp increase in distress calls may have several explanations. It could be due to an increase in instances of DV and/or increased anxiety, or reduced tolerance. Moreover, the decline in DV reporting to the police may be explained by limited access to DV support services during quarantine, or to the fact that the victim’s opportunity to report is constrained by the abuser’s presence at home. The authors are exploring these channels in current work, including the implementation of a nationally representative survey, aiming to identify key determinants of observed patterns, as well as how they may evolve with the removal of quarantines.
Melissa Spencer offered an analysis of the pandemic’s impact on domestic abuse in Los Angeles, US. Spencer and co-authors investigate the immediate effect of the pandemic by using data on DV incidents and arrests, DV calls for service, and hotline calls. During the initial lockdown in March, they find significant effects on both crimes and calls, but in opposite direction: calls for service and hotline calls increased while DV crime and arrests for those crimes declined. During the re-opening period at the end of May, both DV crimes and arrests, calls for service and hotline calls decreased.
Ria Ivandic presented findings from a study on the pandemic´s effect on DV in the Greater London area. Using data on DV calls for service and DV crime/incidents the study shows that, for service calls, there was a 35% increase in third-party reporting in densely populated areas, whereas in low-density areas there was only a 15% increase. This effect was particularly strong in areas of high deprivation and suggests substantial under-reporting in households where abuse cannot be reported by an outsider. As for DV crimes, the study finds an average increase of 4.5% during the lockdown and a significant shift in abuse composition: current partner abuse crimes increased by 8.5%, DV by family members rose by 16.4%, while ex-partner crimes decreased by about 9.4%.
Much like England, the US, or Chile, most countries around the world adopted some kind of lockdown policy to mitigate the spread of COVID-19, but how would the pandemic affect DV in the absence of lockdown, if at all? Maria Perrotta Berlin presented her findings on the case of Sweden, a country that has had a significantly softer policy response to the pandemic. By utilizing data on DV-crime and mobility, the preliminary results show that the pandemic reduced individuals’ mobility, even in the absence of a formal lockdown. Further, Berlin finds that an increased presence in residential areas is associated with a significant increase in non-battery crimes committed by an intimate partner, whereas a reduction in mobility in retail and recreation areas is associated with an increase in other crimes. A more detailed summary of this research is presented in a recent FREE policy brief.
The workshop has offered insights into a problem that has been in urgent need of effective policies for a long time, and that has attracted renewed attention during the pandemic. Not surprisingly, it has created a large interest among the participants. FROGEE and SITE would like to thank the speakers for their contributions to the workshop and SIDA for their generous funding.
References
- Allen-Ebrahimian, Bethany. “China’s Coronavirus Quarantines Raise Domestic Violence Fears.” Axios, 7 Mar. 2020, www.axios.com/china-domestic-violence-coronavirus-quarantine-7b00c3ba-35bc-4d16-afdd-b76ecfb28882.html.
- Giussy, Barbara, et al. “Covid-19, lockdown, and intimate partner violence: some data from an Italian service and suggestions for future approaches.” Journal of Women’s Health (2020).
- Graham-Harrison, Emma, et al. “Lockdowns around the World Bring Rise in Domestic Violence.” The Guardian, Guardian News and Media, 28 Mar. 2020, www.theguardian.com/society/2020/mar/28/lockdowns-world-rise-domestic-violence.
- International Rescue Service, 2020. The Essentials for Responding to Violence Against Women and Girls During and After COVID-19.
- World Health Organization, Europe, 2020. WHO Warns Of Surge Of Domestic Violence As COVID-19 Cases Decrease In Europe.
List of participants
- Damian Clarke, Universidad de Chile, IZA, CSAE Oxford, MiSoC Essex
- Melissa Spencer, University of Virginia
- Ria Ivandic, London School of Economics
- Maria Perrotta Berlin, Stockholm Institute of Transition Economics
Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.
Economic Perspectives on Domestic Violence | Insights from the FROGEE Webinar | Part 1
The COVID-19 pandemic and the resulting lockdown restrictions have amplified the academic and policy interest in the causes and consequences of domestic violence. With this in mind, the FREE Network invited academic researchers to participate in an online workshop entitled “Economic perspectives on domestic violence“. This policy brief is the first in a series of two briefs summarizing the papers presented at the workshop. The current brief addresses the presentations that had a more general focus on domestic violence. The second brief will discuss the papers devoted to the domestic violence implications of the pandemic.
Introduction
Domestic violence (DV), as well as one of its main forms – intimate partner violence (IPV) – are societal issues of massive proportion. The World Health Organization estimates that 1 in 3 women across 80 countries worldwide are victims of IPV during their lifetime (WHO, 2013). IPV imposes huge costs on society: its victims, for instance, are estimated to be twice as susceptible to depression and alcohol abuse, and 16% more likely to give birth to a low birth-weight child (WHO, 2013).
IPV separates itself from other types of violent offenses in several aspects. To start with, the intimate victim-perpetrator relationship causes IPV to be vastly underreported. The victim may have feelings of shame, guilt, and self-blame, which could deter her from seeking support. Further, IPV and more generally DV cases also have high rates of attrition within the justice system. These distinct characteristics highlight the level of difficulty in developing policies aimed at helping victims of intimate partner abuse. The fact that the prevalence of IPV is widespread and at the same time vastly under-reported, casts doubt on the policy measures and legislation in place today.
This policy brief is the first in a series of two that summarizes the recent economic research on IPV presented in the workshop entitled “Economic Perspectives on Domestic Violence”. The workshop was organized as a part of the Forum for Research on Gender Economics (FROGEE) supported by the Swedish International Development Cooperation Agency (SIDA).
Economic Determinants of Domestic Violence
A number of presentations in the workshop were devoted to the economic determinants of domestic violence.
Andreas Kotsadam presented a paper on the relationship between women’s employment and IPV in Ethiopia. The link between the two is twofold: employment could increase women’s empowerment and, thereby, decrease IPV; however, the boost in empowerment could threaten the man’s status in (male-female) relationships, and lead to violent retaliation. Violence could also be used to extract economic resources from working women. To study which of these mechanisms prevail, the authors conducted an extensive field experiment collaborating with shoe and garment factories in Ethiopia. From a list of qualified job-candidates provided by employers, they randomly assigned 1500 equally qualified women living with partners to either getting a job (treatment group) or not (control group). Prior to treatment, women from both groups were interviewed and asked to answer various questions regarding intimate partner abuse. They were also called to a follow-up survey 6 months later. The statistical analysis of these answers fails to establish a causal link between employment status and the incidence of IPV.
Taking a more theoretical approach, Paul Seabright‘s preliminary work on the determinants of IPV offered a dynamic framework modeling how (unpredictable) economic circumstances and (predictable) individuals’ traits influence domestic violence, as well as formation and dissolution of partnerships. The model distinguishes individuals in their ability to control resources within relationships without the use of violence (“skills”), and in their costs of engaging in violence (“temperament”). The model assumes that individuals with more violent temperaments are on average endowed with lower skills. It predicts women’s income and their risk of IPV should be negatively correlated cross-sectionally, but that positive shocks in income should increase IPV for married women while decreasing it for women with easier exit options. The authors test the model on survey data from Brazil and data on randomized expansions of a food-program in Ecuador. The results support the cross-sectional prediction and confirm that the effect of income shocks depends on exit options, though does not support the prediction of an increase for married women.
Sonia Bhalotra’s presentation addressed the DV consequences of another type of economic shock, namely female and male unemployment, and also considered the role of unemployment benefits as a mitigating factor. By exploiting an extensive dataset covering every court case in Brazil between 2009 and 2017, and information on mass layoffs at the local level, the study finds that the probability of a male being prosecuted for a DV crime increases by 32% when he loses his job and persists at similar levels 4 years after. For female job-loss, the corresponding effect is significantly larger and amounts to 52%. Bhalotra and her co-authors argue that the fact that unemployment of either the man or the woman leads to an increase in domestic violence is consistent with unemployment constituting a negative shock to income and a positive shock to time spent at home. They further argue that the larger impact of female relative to male unemployment is potentially consistent with the “household bargaining model”, which encapsulates the idea that it becomes more difficult for a woman to leave a violent relationship when she is more economically dependent on her partner. Additional analysis shows that eligibility for unemployment insurance increases DV once benefits expire and that this is in turn a result of unemployment benefits increasing peoples’ time in unemployment.
The Role of Police
Part of the workshop was dedicated to the role of the criminal justice system. A fact that stresses the importance of studying police behavior is that domestic abuse cases generally suffer from high legal attrition and most of them are dropped before reaching the court. Variation in the characteristics of law enforcement could likely play a role in explaining differences in DV across contexts.
In this vein, Sofia Amaral introduced a study on the relationship between gender diversity of the police force and domestic violence in the UK. The gender-distribution within law enforcement is believed to directly influence DV in two ways: First, gender-based differences in attitudes and norms may influence police-handling in DV cases. Second, if the gender of the victim aligns with that of the officer, the victim may be more willing to cooperate and disclose evidence. The data shows that the total share of women in the police force is almost equal to that of men, but the tasks performed differ systematically across genders. Women are found to be overrepresented among call-handlers and underrepresented among first-response teams. For each position, Amaral and her co-authors investigate whether changes in gender-distribution influence the rate of legal attrition, rate of repeat victimization, and the amount of time spent at a scene (response duration). By analyzing police force and crime data the study shows that there are substantial efficiency gains from increasing gender diversity, particularly in first-response teams. An increase in the share of females in first-response teams increases response duration, reduces legal attrition, and decreases repeat victimization. There is an even larger effect when a female is the most experienced officer in the team. The gender of the call-handler has no significant effect on the outcomes of interest.
Along somewhat similar lines, Victoria Endl-Geyer presented research on the link between the quality of police response and DV in the UK. More specifically, the research explores how increased police response times, caused by police station closures in 2012, affected the rate of repeat victimization in DV cases. Faster police response times are believed to improve the victim’s cooperation: If the police are quick to arrive at the scene, the victim gets less time to revise the initial assessment that she needed support. The results show that faster police responses are associated with a higher conviction rate. However, they also increase the likelihood of repeat victimization. A potential explanation could be the so-called “reprisal effect” – the perpetrator retaliates with more violence as a response to being reported by his partner.
Criminalization
Many studies on IPV, including some that were presented at the workshop, highlight that an inherently good policy such as improving police response, sometimes leads to unintended negative consequences to victims. In the keynote speech, Leigh Goodmark addressed this topic by critically discussing the history, consequences, and alternatives to criminalization of IPV in the US. As suggested by her recent book, domestic violence has fallen in the US since the introduction of criminalization and mandatory arrest of IPV crimes. However, historical trends show that the overall crime rate has fallen to a greater extent. Goodmark provided several reasons why criminalization has likely been unsuccessful in deterring IPV. Some studies emphasize that it is the accountability and monitoring of perpetrators (even after incarceration) that has been effective in deterring IPV crimes and not the punishment itself. In fact, there are vast costs of DV criminalization occurring to victims of domestic abuse, such as financial instability caused by unemployment of (in many cases) the primary breadwinner in a household. Also, criminalization has been shown to exacerbate other correlates of IPV such as aggressive and hostile tendencies of the perpetrator. Goodmark proposed alternatives to DV criminalization that avoid such costs and thereby, are potentially more effective in reducing domestic abuse. First, there are solutions rooted in economics such as cash-transfer programs, employment training, and micro-financing. These types of measures can help to reduce the economic penalties of seeking support and strengthen the victim’s financial independence. Also, more social solutions were suggested such as community organizing, restorative justice, and community accountability. Moreover, Goodmark underlined the fact that individuals with adverse childhood experiences, often involving violence, are significantly more likely to commit violent crimes such as IPV. Identifying and intervening at an early age to educate these individuals about intimate relationships has been shown to be effective in dealing with the problem. In a nutshell, Goodmark stressed the importance of constructing a balanced policy approach that targets the origins of DV and argued that the time has come to reconsider punishing violence with more violence.
Reporting
Problems related to IPV misreporting were a recurring subject of discussion at the workshop. A lot of the previous research on IPV relies on direct surveys asking women whether they were a victim of different instances of IPV. The main problem associated with such surveys relates to accuracy: social factors such as stigma, shame, and/or self-blame, as well as privacy concerns, are likely to influence respondents’ answers. A practice that has proven successful for sensitive questions is the use of an indirect method called list experiments, where the structure of the survey mitigates much of the above concerns on the respondent’s side (see, e.g., https://blogs.worldbank.org/ impactevaluation/list-experiments-sensitive-questions-methods-bleg).
Veronica Frisancho presented a study on the gap in reporting originating from direct questionnaires vs. list experiments based on experimental evidence from Peru. The experiment considers two groups of 500 women each. Women in the first group participate in a survey that uses direct questionnaires, whereas those in the second group answer a survey using indirect questionnaires. Based on the answers, the authors obtain an IPV prevalence rate for each group and define under-reporting as the difference in prevalence between them, under the assumption that the rate of under-reporting in the presence of indirect questionnaires is minor. Unexpectedly, yet encouraging, they find no evidence of misreporting in the direct-questions method. However, when looking closer at different education levels, they find that under-reporting is significantly more prevalent for highly educated women. In other words, less educated women are more truthful when answering questions about IPV. Frisancho emphasized that these types of patterns make it more difficult to identify the most vulnerable groups, implying that direct methods could increase the risk of mistargeted policies.
More generally, there are several reasons why respondents may be less truthful when answering questions related to IPV. On the one hand, individuals may be aware that they are victims of abuse, but perhaps are unwilling to confess due to stigma. On the other hand, it could be that individuals fail to identify themselves as victims of abuse at all, and do not consider their relationship unhealthy. Against this background, Nishith Prakash presented preliminary results of an ongoing study on behavioral barriers to the demand for DV-support services. The baseline results of the survey indicate belief gaps among women who scored high on levels of abuse: a significant majority of abuse victims rated their relationship as healthy. While 46.43% of respondents report some form of physical, emotional, or sexual violence, the portion of those with the prior belief that they are in an abusive relationship is only 1%. The study also finds that stress about Covid-19 correlates with higher levels of self-blame, abuse, and lower levels of understanding of what abusive behaviors are.
The covid-19 pandemic and its massive repercussions on determinants of DV such as mobility, economic insecurity, and social isolation have offered new possibilities for researchers to study the underlying causes of DV, while also making DV research ever more important. The next policy brief in this series will summarize the presentations which were specifically devoted to the consequences of the pandemic on DV. On behalf of FROGEE and SITE, we would like to thank the speakers for their contributions to the understanding of this topic, which will be indispensable both to the academic community and to policymakers in their efforts to design more effective policies for the future. We would also like to thank SIDA for generous financial support.
References
- WHO, Department of Reproductive Health and Research, London School of Hygiene and Tropical Medicine, South African Medical Research Council. “Global and regional estimates of violence against women”. Reference No. 978 92 4 156462 5. 2013.
List of Participants
- Andreas Kotsadam, The Frisch Centre, Oslo University, EGAP, CESifo
- Paul Seabright, Toulouse School of Economics, IAST
- Sonia Bhalotra, University of Essex
- Sofia Amaral, University of Munich, CESifo
- Victoria Endl-Geyer, ifo Institute
- Leigh Goodmark, University of Maryland
- Veronica Frisancho, Inter-American Development Bank
- Nishith Prakash, University of Connecticut
Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.
Domestic Violence in the Time of Covid-19
Since the outbreak of Covid-19 in the spring of 2020, media outlets around the world have reported increases in domestic violence. United Nations secretary-general António Guterres has even referred to it as a “shadow pandemic”. Besides news outlets, academic researchers have also taken an interest in the issue, which is crucial if we are to draw the right conclusions from the patterns we see in the statistics. Preliminary evidence shows that the incidence of intimate partner violence has also increased in Sweden, notwithstanding the absence of a strict lockdown. This is likely related to the socio-economic changes brought about by the pandemic.
A Shadow Pandemic?
In response to the Covid-19 pandemic, governments around the world introduced a variety of measures aimed to stave off the contagion, and billions of worried people adapted their behavior and lifestyle. But did the pandemic, and the changes brought by it, also lead to an increase in domestic violence?
Were we to simply look at the number of domestic violence offenses reported over time, we would not be able to answer this question. Historical trends and seasonal patterns in domestic violence would confound this observation, while the crisis might affect the reporting of crimes independently of their occurrence. More rigorous statistical analysis is needed for understanding not only the true situation with domestic violence under the pandemic, but also the reasons behind it. Investigating the driving factors is crucial for informing policy reactions already in the short run — is it a loss of income that generates violence, or could it simply be increased exposure? Do we need more unemployment benefits or shelters for victims? Moreover, the rather special conditions created by the pandemic can contribute to our general understanding of how domestic violence occurs in relation to other societal dynamics, unveil some of the causal mechanisms that are still open questions in the literature and help to fight this issue further, even after the pandemic is over.
Socio-economic Theories of Violence
Within social science research, studies that focus on the relationship between domestic violence and factors at a societal level can be divided into several different branches. A large corpus of theories interprets violence as a result of power imbalance within households. This perspective is associated with explanations such as bargaining power, exit options, and status, theoretical concepts that are often embodied and approximated by observable factors such as (relative) education, income or employment status. For example, Aizer (2010) provides results in line with the bargaining power hypothesis showing that a decrease in the gender wage gap in the US is associated with a decrease in domestic violence against women. Along the same lines, Anderberg et al. (2016) use UK data to show that an increase in unemployment among men reduces the incidence of intimate partner violence (IPV) while an increase in unemployment among women increases it. In contrast, a study from Spain documents the opposite relationship in provinces characterized by stronger traditional gender roles (Tur-Prats, 2019). It finds that a decrease in female relative to male unemployment causes an increase in violence, which is more in line with the “backlash explanation” — when a woman improves her economic position and independence, the man in the household feels that his identity as breadwinner is threatened and retaliates with violence as a result. Studies such as Iyer et al. (2012) and Miller and Segal (2018) highlight the importance of improving the position of women in society, which can be achieved, for example, through role models and female representation in critical positions. They associate the proportion of women among elected politicians and among the police, in India and the United States respectively, with a significant increase in reports of crimes against women and at the same time a significant decrease in the incidence of such crimes.
An alternative interpretation of domestic violence puts more emphasis on its emotional and irrational nature. In this case, particular events or negative emotional shocks, such as an unexpected negative result of an important football match (Card and Dahl, 2011), are believed to trigger violent reactions in the heat of the moment. The likelihood of such incidents is exacerbated by stress and emotional climate within a household, which in turn are influenced by economic conditions or financial uncertainty. For example, several studies from developing countries associate improvements in general economic conditions with a reduction in domestic violence (Hidrobo et al., 2016; Kim et al., 2007; Haushofer et al., 2019).
Finally, there is a common perception that domestic violence increases during holidays and weekends as families spend more time together and potential victims are more isolated from their social networks, in line with the so-called exposure model in criminology. So far, research on this hypothesis is limited and incomplete. However, it is precisely one of the areas where studies from the recent months may fill the knowledge gap: the fact that lockdowns and work from home forced many families to spend more time together at home while retaining full wages, gives a unique opportunity to examine exposure in isolation from other economic factors.
The opposite of exposure is known as (self-) incapacitation theory: no aggression will occur while a (potentially violent) partner is occupied with something else, whether imposed or self-chosen. Several studies focusing on this hypothesis have documented that the incidence of violent crimes declines, on the street or in the home environment, when potential perpetrators are in school (Jacob and Lefgren, 2003), in prison (Levitt, 1996), at the cinema (Dahl and DellaVigna, 2009) and when they have access to a legal prostitution market (Cunningham and Shah, 2018; Ciacci and Sviatschi, 2018; Berlin et al., 2019). During a lockdown, the availability of such activities is restricted, both to violent people as well as potential victims.
Research on Domestic Violence During Covid-19
The list of studies analyzing data from the past few months is growing by the day. Although full consensus is yet to be reached, the results that have emerged point towards a few patterns: spikes in domestic violence can be credibly connected to strict limitations of movement, at least in some contexts (India, Ravindran and Shah, 2020; Peru, Agüero, 2020; 15 large US cities, Leslie and Wilson, 2020); unemployment could be an important mechanism (Bhalotra et al., 2020; in Canada, Beland et al., 2020 find no impact of unemployment or work arrangements per se, but do associate spikes in violence to financial difficulties); alcohol does not seem to amplify domestic violence during the pandemic, at least in some context (Silverio-Murillo and Balmori de la Miyar do not find any effect of the prohibition to sell alcohol in parts of Mexico City); and by and large barriers to reporting might be a serious issue (Spencer et al, 2020).
A selection of studies on domestic violence during the Covid-19 crisis, many of which are as yet unpublished, were presented at the recent FROGEE Workshop “Economic Perspectives on Domestic Violence”. Two FREE Policy Briefs summarizing the event are forthcoming.
Domestic Violence in Sweden During Covid-19
Studying Sweden against this background can be particularly interesting for at least two reasons. Sweden regularly occupies the top positions in international rankings of gender equality in many dimensions and is seen as having advanced progressive norms and attitudes in this area. As pointed out by the literature on the economic determinants of domestic violence, underlying norms and attitudes can play a significant role in shaping the impact of other factors, such as unemployment (Tur-Prats, 2019). Therefore, the Swedish case can offer a valuable comparison to studies focusing on countries that have different attitudes and norms.
According to estimates by the National Council for Crime Prevention (BRÅ), at least 7% of the Swedish population is exposed yearly to domestic violence, both men and women in roughly equal parts. However, women are much more likely to report recurring violence and to end up hospitalized.
When it comes to the particular situation of the Covid-19 crisis, Sweden is also close to unique in its contagion-management strategy. Swedish policy relied much more than elsewhere on voluntary participation and individual responsibility rather than coercion. Certainly, working from home when possible was encouraged, the use of public transport discouraged, and indoor events with more than 500, and thereafter 50 participants were forbidden, which included many sports and cultural events. In fact, the Google mobility index, based on location data from Google Account users, shows patterns of clear deviation from the baseline since week 11 of 2020, when the authorities declared a very high risk of community spread.
Figure 1. Mobility patterns in Sweden during Covid-19
The plots in Figure 1 show that the presence of Google Account users was about 10% higher in residential areas (the pink line) and much lower in workplaces, despite some variation over the period: the initial decline was roughly half as large as the impact of summer vacation, as shown by the blue line. Also, visits to retail centers and grocery stores, recreation places (such as restaurants, cinemas, and theaters), and transit stations decreased, especially during the beginning of the period. Mobility in parks and green areas, shown separately, follow to a larger extent a seasonal pattern.
Nevertheless, the general population was never forbidden or even discouraged from leaving their homes, which clearly makes a stark difference for many of the mechanisms that, based on the literature, we think could play a role in explaining domestic violence.
According to BRÅ, during the first half of 2020, there was a 1% increase in total reported crime compared to the same period of the previous year. However, there is wide variation among the crime categories: 9% more violent assaults against women were reported, and 4% more against men, but 6% fewer rapes of women and 9% fewer rapes of men. As discussed above, it is not straightforward to draw conclusions from simple comparisons over time. Preliminary analysis utilizing the variation in mobility patterns over weeks and municipalities reveals that a 10% increase in residential mobility is associated with a (lower bound) increase in reported non-battery crimes against women committed by an intimate partner by 0.015 crimes per 10,000 individuals (a sixth of the mean). The corresponding figure for a 10% reduction in mobility in retail and recreation areas and transit mobility is around 0.0025 additional crimes (3% of the mean) (see Figure 2). Crime categories include attempted or planned homicides; sexual molestations, sexual assaults, and rapes; violations of integrity and privacy (including limitation of freedom, coercion, threats, persecutions; battery crimes are not included for the time being because of a coding mistake in the police system pertaining this particular category).
Figure 2. Mobility patterns and IPV in Sweden during Covid-19 – non-battery crimes
We consider this a lower bound because of the voluntary nature of the Swedish ”lockdown” – if people have the freedom to choose, then it is reasonable to expect that individuals more exposed to the risk of domestic violence would decide to be less at home, which would reduce the strength of the relationship observed. In the opposite direction, we might be worried that when more people are at home, more crimes are reported by a third party, such as neighbors, and thus not implying that more crimes are being committed. However, we differentially see more reported crimes with a female victim than with a male victim, which is not necessarily easy for a third party to distinguish by the sounds. Therefore, it seems likely that, based on the changes in mobility patterns, IPV against women has increased in Sweden during the Covid-19 crisis. Other consequences of the crisis that might also play an important role in shaping IPV and domestic violence, including the huge increase in unemployment and changes in alcohol sales, remain to be investigated.
Conclusion
In conclusion, research from the past months finds some limited support for hypotheses originating from previous literature on the relationship between different socio-economic factors and domestic violence. When these factors were affected by the pandemic and the associated economic crisis, domestic violence responded as well, to a varying extent depending on the context. This can be seen as an indirect and hidden cost of the pandemic.
Preliminary evidence indicates a similar case for Sweden, notwithstanding the absence of a strict lockdown. This implies that a significant part of the changes in behavior, which in turn can be expected to affect domestic violence, have occurred as a response to the pandemic itself and not necessarily as a result of policy measures.
While the shock of the pandemic will help us to better understand some of the underlying mechanisms behind the phenomenon of domestic violence, many questions are still open, and it is important to look beyond the pandemic. Domestic violence existed before Covid-19 and will, unfortunately, remain part of our societies when the pandemic is over. Investigating and understanding its determinants is important in order to formulate proper policies to combat it during and after the crisis.
References
- Agüero, Jorge M, 2020. “Covid-19 and the rise of intimate partner violence”. Unpublished.
- Aizer, Anna, 2010. “The Gender Wage Gap and Domestic Violence.”, The American economic review, 100 (4), 1847-1859.
- Anderberg, Dan; Helmut Rainer; Jonathan Wadsworth; and Tanya Wilson, 2016. “Unemployment and Domestic Violence: Theory and Evidence.”, The Economic Journal, 126 (597), 1947–1979.
- Béland, Louis-Philippe; Abel Brodeur; and Taylor Wright, 2020. “The short-term economic consequences of Covid-19: exposure to disease, remote work and government response.” Unpublished.
- Berlin, Maria P.; Giovanni Immordino, Francesco F. Russo and Giancarlo Spagnolo, 2020. “Prostitution and Violence. Empirical Evidence from Sweden”, Unpublished.
- Berlin, Maria P.; and Manne Gerell, 2020. “Economic Determinants of Violence in the Home: The Case of Sweden During Covid-19”, Unpublished.
- Bhalotra, Sonia; Damian Clarke; Emilia Brito; Pilar Larroulet; and Francisco Pino, 2020. “Impact of Covid-19 on Domestic Violence, Crime and Male and Female Time Use and Labor Supply: Evidence from Rolling Quarantines in Chile”, Unpublished.
- Capaldi, Deborah M.; Naomi B. Knoble, Joann Wu Shortt, and Hyoun K. Kim, 2012. “A systematic review of risk factors for intimate partner violence.” Partner abuse 3, no. 2. 231-280.
- Card, David; and Gordon B. Dahl, 2011. “Family violence and football: The effect of unexpected emotional cues on violent behavior.” The quarterly journal of economics. 126.1, 103-143.
- Ciacci, Riccardo; and Maria Micaela Sviatschi, 2016. ”The Effect of Indoor Prostitution on Sex Crime: Evidence from New York City”, Columbia University Working Paper.
- Cunningham, Scott; and Manisha Shah, 2017. “Decriminalizing indoor prostitution: Implications for sexual violence and public health.” The Review of Economic Studies, 85.3, 1683-1715.
- Dahl, Gordon; and Stefano DellaVigna, 2009. “Does movie violence increase violent crime?”, The Quarterly Journal of Economics. 124.2 (2009): 677-734.
- Haushofer, Johannes, Charlotte Ringdal, Jeremy P. Shapiro, and Xiao Yu Wang, 2019. “Income changes and intimate partner violence: Evidence from unconditional cash transfers in Kenya”, Unpublished.
- Hidrobo, Melissa; Amber Peterman, and Lori Heise, 2016 “The effect of cash, vouchers, and food transfers on intimate partner violence: evidence from a randomized experiment in Northern Ecuador.” American Economic Journal: Applied Economics. 8, no. 3. 284-303.
- Iyer, Lakshmi; A. Mani, P. Mishra, & P. Topalova, 2012.”The power of political voice: women’s political representation and crime in India.” American Economic Journal: Applied Economics 4.4, 165-93.
- Jacob, Brian, A.; and Lars Lefgren, 2003. “Are Idle Hands the Devil’s Workshop? Incapacitation, Concentration, and Juvenile Crime.” American Economic Review, 93 (5): 1560-1577.
- Kim, Julia C.; Charlotte H. Watts, James R. Hargreaves, Luceth X. Ndhlovu, Godfrey Phetla, Linda A. Morison, Joanna Busza, John DH Porter, and Paul Pronyk, 2007. “Understanding the impact of a microfinance-based intervention on women’s empowerment and the reduction of intimate partner violence in South Africa.” American journal of public health. 97, no. 10. 1794-1802.
- Levitt, Steven D., “The Effect of Prison Population Size on Crime Rates: Evidence from Prison Overcrowding Litigation”. The Quarterly Journal of Economics, Volume 111, Issue 2, May 1996, Pages 319–351.
- Leslie, Emily; and Riley Wilson, 2020. “Sheltering in place and domestic violence: Evidence from calls for service during COVID-19.” Unpublished.
- Miller, Amalia R.; and Carmit Segal, 2018. “Do Female Officers Improve Law Enforcement Quality? Effects on Crime Reporting and Domestic Violence.” The Review of Economic Studies.
- Ravindran, Saravana; and Manisha Shah, 2020. ”Unintended consequences of lockdowns: Covid-19 and the shadow pandemic.” Unpublished.
- Silverio-Murillo, Adan; Jose Roberto Balmori de la Miyar; and Lauren Hoehn-Velasco, 2020. “Families under confinement: Covid-19, domestic violence, and alcohol consumption.” Unpublished.
- Spencer, Melissa; Amalia Miller; and Carmit Segal, 2020. “Effects of the COVID-19 Pandemic on Domestic Violence in US Cities.” Unpublished.
- Tur-Prats, Ana, 2019. “Family Types and Intimate Partner Violence: A Historical Perspective”. Review of Economics and Statistics, 101(5), 878-891.
Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.
Combating Misuse of Public Funds in COVID-19 Emergency Procurement
The Covid-19 pandemic has revealed substantial shortcomings in central governments’ and municipalities’ ability to procure items needed in the fight against Covid-19, and corruption has been rampant partially due to the increased discretion of procurement staff to award contracts. We argue that suspension of ex ante rules safeguarding accountability is essential for disaster relief, but must be compensated for by better ex post monitoring. Such monitoring can be greatly strengthened by increasing transparency of all awarded contracts and providing incentives to whistleblowers to come forward to report fraud and corruption.
Corruption in Covid-19 Procurement
The disastrous Covid-19 pandemic has revealed weaknesses in global supply chains and in national public procurement systems’ ability to secure essential Personal Protective Equipment (PPE), ICU material, and Covid tests. Several countries have been and are experiencing issues like poor quality of procured goods, extremely high prices, scams, and a general inability to source.
Examples of quality under-provision abound. The Spanish government discovered that out of 340,000 tests purchased from a Chinese manufacturer, 60,000 of them did not test accurately for Covid-19 [1], and the Dutch ministry of health issued a recall of 600,000 face masks from a Chinese supplier due to poor quality [2]. Analogous problems were common in the UK [3, 4]. Several countries have also had difficulties to procure at all, for example in terms of their desired number of tests [5, 6], or the reagents used to analyze the tests [7], as well as swabs [8].
Reports on price gouging – selling at extremely high prices – are also widespread. Examples of price gouging and investigations by competition authorities can be found throughout Europe and the US, but also in developing countries like Indonesia, Brazil, Thailand, Kenya, and South Africa (OECD 2020a), and in Ecuador and Paraguay, with corruption as the alleged cause [9].
While many reasons lie behind these procurement failures, several of them are directly traceable to the abuse of the increased discretion granted by emergency procurement rules to urgently source material and bypass time-consuming public procurement processes and legal frameworks. This important and necessary increase in discretion can easily be abused to hand out contracts to friends and/or political allies or to cash bribes.
Again, examples in the press abound. In the UK, a clearly non-urgent contract was awarded without competition to a firm owned by two long term associates of Michael Gove and Dominic Cummings [10]. In Slovenia, a gambling mogul with no public record of healthcare experience appears to have received millions in an emergency contract related to Covid-19 [11]. In Bosnia, a raspberry farm was apparently granted a contract to import 100 ventilators,paying $55,000 for each ventilator, while their price was around $7,000 to $30,000 on the international market in the relevant period [12]. In India, a Mumbai Realtor with no previous healthcare experience got a contract to supply things such as oxygen cylinder and medical beds [13]. The health minister in Bolivia was arrested in May after the country bought 179 ventilators at $27,683 each while it later was revealed that the manufacturers were offering ventilators at approximately half that price [14]. In Bangladesh, Transparency International issued a study suggesting widespread corruption in the country during Covid-19, including the purchase of substandard medical supplies at five to ten times the market price [15].
The Covid-19 crisis has exacerbated an already significant problem: according to Transparency International (2020), up to 25% of all global healthcare procurement spending is lost to corruption.
Historically, Fraud Increases During Emergencies
Disaster related fraud is frequently a problem in the western world as well. In September of 2005, in the aftermath of Hurricane Katrina in the US, the Hurricane Katrina Fraud Task Force was set up to go after frauds related to recovery funds. By August 30th, 2007, the task force had prosecuted 768 individuals for Katrina-related fraud, and additional state and local prosecutions for disaster-related fraud had been brought (DoJ 2007). The National Center for Disaster Fraud was also created within the justice department in the aftermath of several devastating hurricanes in the US, and currently houses over 80 employees.
Organizations and academics warned the public early about the risk of increased corruption in public procurement during the Covid-19 pandemic (Khasiani et al 2020, OECD 2020b). Indeed, emergency procurement and disaster relief has historically been linked to increases in corruption (Leeson and Sobel, 2008), especially where institutions are weaker (Barone and Mocetti 2014). The problems often highlighted in this context, such as using emergency authority when it is not required/warranted or using it beyond the time it is required, abuse of discretionary authority, drawing up specifications to suit the firm desired to win the contract, restricting the number of bids, and caving in to political influences (Schultz and Søreide 2008: 523), have also been on display during the Covid-19 crisis.
There are of course compelling reasons to relax stringent procurement rules in emergencies to allow for a fast response proportional to the population´s needs. But such a lessening of oversight and ex ante checks must be compensated for by much more extensive ex post checks, that should be advertised widely to deter public officials from abusing discretion. Broadly, there are two main ways of strengthening ex post checks/monitoring.
Two Ways of Ex-post Monitoring
The first is to have complete and transparent documentation of all the contracts awarded and the related documents, a “keep the receipt” mentality and practice, and making these records publicly available as soon as possible. Several countries have been moving in this direction as a response to the crisis, often with the help of NGOs like the Open Contracting Partnership (The Economist 2020). Examples include Ukraine, that require the submission of a report for each contract within a day of its conclusion, which is then made publicly available on an internet platform; and as of 2016 a third of government contracts in Colombia were published on an e-procurement platform where they can then be scrutinized by the public. In the US, the user-friendly website USAspending.govprovide data on federal contracts, with advanced search functions including tags specific to Covid-19 contracting.
The organization Open Contracting Partnerships provide a list of suggestions for any government that is looking to increase transparency in procurement; it includes the timely publication of contracts, licenses, concessions, permits, grants, as well as related pre-studies and bid documents. A full list of best practices, which can be implemented at a low cost, can be found on their website (Open Contracting Partnerships 2020).
The second is to protect and incentivize whistleblowers. Adequate protection of whistleblowers is a first step, but protection is always partial and imperfect, and may therefore be insufficient to induce those close to frauds to come forward, given the terrible consequences they typically face (see e.g. Rothschild and Miethe 1999, Nyreröd and Spagnolo 2020c).
In the U.S., the False Claims Act (FCA), first enacted by President Lincoln to curb fraud on military supplies during the civil war, and strengthened in 1986, has gone one step further by providing whistleblowers with substantial monetary rewards when they report on procurement fraud. Building on the success of the FCA, the US has introduced similar programs in several areas, most prominently with respect to tax evasion (in 2006) and securities fraud (in 2011).
Providing meaningful monetary incentives to whistleblowers who report on particularly egregious frauds and corruption can have a substantial deterrent effect on potential fraudsters as several studies show (see e.g. Wilde 2017, Johannesen and Stolper 2017, Wiedman and Zhu 2018, Amir et al. 2018, Leder-Lewis 2020; see Nyreröd and Spagnolo 2020a for a review of the earlier literature). Simple cost-benefit analysis shows that a well-designed and implemented whistleblower incentives scheme can be a highly cost-effective continuous monitoring tool for enforcement agencies and public prosecutors (see e.g. Nyreröd and Spagnolo 2020b).
As for the EU, it is conspicuously lagging behind. Even prior to the Covid-19 crisis there was a need for increased monitoring evidenced by a 2019 European Court of Auditors (ECA) report entitled “Fighting fraud in EU spending: action needed.” A central emphasis of this report is that the Commission lacks insight into the scale, nature, causes, and level of fraud, as well as the level of undetected fraud. In 2018 the EU adopted a Directive that would harmonize and strengthen whistleblower protection in the EU. While the new EU Directive on whistleblowing is a step in the right direction, it failed to provide a framework for whistleblower rewards.
This may have been a mistake, as standard detection methods, including whistleblower protections, have often proven inadequate. The recent Wirecard scandal is a testament to the failure of standard fraud detection methods. In June of 2020, the stock price of Wirecard dropped from €100 to sub €2 in less than nine days after it was revealed to be an Enron-level accounting fraud. The firm has also allegedly laundered money for mobsters and was involved in a range of shady practices. Since 2008, fraud accusations have been leveled several times against the firm and Wirecard´s response was to label their critics “market manipulators”. The German financial supervisors, instead of investigating Wirecard, went after those who correctly claimed that the firm was a fraud, including reporters at the Financial Times. This fraud went undetected for at least 12 years, costing investors millions and undermining trust in financial markets. Moreover, those correctly accusing Wirecard of fraud allege they were subject to harassment campaigns, including phishing attacks by hackers and intimidating surveillance outside their homes and offices [16]. This is perhaps not surprising given that Germany is a country with some of the worst protections for whistleblower [17].
The shortcomings of traditional methods of fraud detection may turn out to be especially costly and ineffective during the Covid-19 pandemic.
Conclusions
With increased public spending being a cornerstone of the response to this crisis, adequate monitoring of abuse of public funds will become more urgent. Some EU institution, such as the European Public Prosecutor’s Office, or the European Anti-Fraud Office, could be suitable for a whistleblower reward program, as investigators are likely stuck looking for needles in haystacks, or lack the necessary information to bring/recommend actions to recover funds. Irrespective of the lost opportunity of the Directive, evidence shows it is time to introduce serious (high stakes) whistleblower rewards programs in Europe, unless of course Europeans are not able to manage them, or are more interested in hiding rather than airing their dirty laundry.
References
- [1] Spain: “Chinese government rejects allegations that its face masks were defective, tells countries to ‘double check’ instructions” Available at: https://www.businessinsider.fr/us/china-face-mask-defective-double-check-instructions-2020-4
- [2] the Netherlands: ”Coronavirus: Countries reject Chinese-made equipment” Available at: https://www.bbc.com/news/world-europe-52092395
- [3] UK: “Government tells hospitals to stop buying antivirus kit” Available at: https://www.ft.com/content/be92bc95-f4bb-4ce6-8395-a58f059aa5a2?shareType=nongift
- [4] UK: “UK government paid £1.7bn to private groups for coronavirus contracts” Available at: https://www.ft.com/content/7fe7c2d5-24df-431b-9149-50417fa0236a?shareType=nongift
- [5] US: “Coronavirus: White House concedes US lacks enough test kits” Available at: https://www.bbc.com/news/world-us-canada-51761435
- [6] UK: “Coronavirus: Lack of testing becomes political problem” https://www.bbc.com/news/uk-politics-52118781
- [7] Sweden: “Coronavirus testing being slowed by lack of key substances” Available at: https://sverigesradio.se/artikel/7439173
- [8] UK: “UK Has Fixed Swab Shortage Problem for Coronavirus Testing, Minister Says” https://www.usnews.com/news/world/articles/2020-04-02/uk-has-fixed-swab-shortage-problem-for-coronavirus-testing-minister-says
- [9] Ecuador: “The Impact of Covid-19 on Good Governance and Anti-Corruption Efforts in Latin America” Available at: https://uncaccoalition.org/the-impact-of-covid-19-on-good-governance-and-anti-corruption-efforts-in-latin-america/
- [10] UK: “Revealed: Key Cummings and Gove ally given COVID-19 contract without open tender” Available at: https://www.opendemocracy.net/en/dark-money-investigations/revealed-key-cummings-ally-given-840000-covid-contract-without-competition/
- [11] Slovenia: “Opaque Coronavirus Procurement Deal Hands Millions to Slovenian Gambling Mogul” Available at: https://www.occrp.org/en/coronavirus/opaque-coronavirus-procurement-deal-hands-millions-to-slovenian-gambling-mogul
- [12] Bosnia: “Bosnian Raspberry Farm Granted Contract to buy Ventilators” Available at: https://www.occrp.org/en/daily/12216-bosnian-raspberry-farm-granted-contract-to-buy-ventilators
- [13] India: “BJP Demands Details As Mumbai Realtor Gets Medical-related Contract In BMC’s COVID Project” Available at: https://www.republicworld.com/india-news/city-news/mumbai-kirit-somaiya-bmc-nesco-covid-care-centre-maharashtra.html
- [14] Bolivia: Available at: ”Bolivia’s health minister arrested over ventilator purchases” Avaialbe at: https://www.ft.com/content/30fb6259-3040-415f-9e99-b823d7b92f
- [15] Bangladesh: “TIB finds gross corruption in COVID-19 purchases” Available at: https://www.newagebd.net/article/108515/tib-finds-gross-corruption-in-covid-19-purchases
- [16] “In a German Tech Giant’s Fall, Charges of Lies, Spies and Missing Billions” Available at: https://www.nytimes.com/2020/06/26/business/wirecard-collapse-markus-braun.html
- [17] “Mark Worth: Germany Loves Whistleblowers – Unless They are German” https://berlinspectator.com/2020/03/27/mark-worth-germany-loves-whistleblowers-unless-they-are-german/
- Abbink, K and K Wu (2017), “Reward self-reporting to deter corruption: An experiment on mitigating collusive bribery”, Journal of Economic Behavior & Organization 133, 256-272
- Amir, E; A Lazar and S Levi, 2018. “The Deterrent Effect of Whistleblowing on Tax Collections”, European Accounting Review 75(5), 939-954.
- Barone, G; and S Mocetti, 2014. “Natural disasters, growth and institutions: a tale of two earthquakes.” Journal of Urban Economics 84 (2014): 52-66.
- DoJ, 2007. “Hurricane Katrina Fraud Task Force: Second Year Report to the Attorney General”, available at: https://www.justice.gov/sites/default/files/criminal-disasters/legacy/2012/07/30/09-04-07AG2ndyrprogrpt.pdf
- ECA, 2019. “Fighting fraud in EU spending: action needed”, European Court of Auditors (ECA), Special Report no.01.
- Johannesen, N; and T Stolper, 2017. “The Deterrence Effect of Whistleblowing – An Event Study of Leaked Customer Information from Banks in Tax Havens”, Working Paper of the Max Planck Institute for Tax Law and Public Finance No.2017-4, available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2976321
- Khasiani, K; Y Koshima; A Mfombouot; and A Singh, 2020. “Budget Execution Controls to Mitigate Corruption Risk in Pandemic Spending”, International Monetary Fund, Special Series on COVID-19.
- Leder-Luis, J, 2020. “Whistleblowers, Private Enfrocement, and Medicare Fraud” Job Market Paper, available at: http://sites.bu.edu/jetson/files/2020/07/False-Claims-Act-Paper.pdf
- Leeson, P. T; and R Sobel, 2008. “Weathering corruption”, Journal of Law and Economics, 51, 667–681.
- Nyreröd, T; and G Spagnolo, 2020a. “Myths and Numbers on Whistleblower Rewards”, Regulation and Governance, early view available at: https://onlinelibrary.wiley.com/doi/full/10.1111/rego.12267
- Nyreröd, T; and G Spagnolo, 2020c. ”Whistleblowers During the Covid-19 Pandemic”, FREE Policy Brief, available at: https://freepolicybriefs.org/2020/06/15/whistleblowers-covid-19-pandemic/
- OECD, 2020a. “Exploitative pricing in the time of COVID-19” available at: http://www.oecd.org/competition/Exploitative-pricing-in-the-time-of-COVID-19.pdf
- OECD, 2020b. “COVID-19: Competition and emergency procurement”, available at: https://www.oecd.org/competition/COVID-19-competition-and-emergency-procurement.pdf
- Open Contracting Partnerships, 2020. “Global Principles” Available at: https://www.open-contracting.org/what-is-open-contracting/global-principles/
- Sanchez-Graells, A, 2020. “Commentary – Procurement in the time of COVID-19”. Forthcoming in Northern Ireland Legal Quarterly, available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3570154
- Rothschild M; and T Miethe, 1999. “Whistleblower Disclosures and Management Retaliation.”, Work and Occupations 26(1),120-21.
- Schultz, J; and T Søreide, 2008. “Corruption in emergency procurement”, Disasters, 32(4): 516−536.
- Spagnolo, G; and T Nyreröd, 2020b. ”Financial incentives for whistleblowers: a short survey”, Cambridge Handbook of Compliance, David Sokol and Benjamin van Rooij (eds).
- The Economist, 2020. “The future of public spending: responses to Covid-19”, The Economist, Intelligence Unit, available at: https://unops.economist.com/wp-content/uploads/2020/06/Thefutureofpublicspending_responsestocovid19.pdf
- Transparency International, 2020. “FIRST, DO NO HARM: SPENDING THE GLOBAL CORONAVIRUS RESPONSE PLEDGES PROPERLY”, available at: https://ti-health.org/content/covid-19-vaccine-countries-pledges-money-well-spent/
- Wiedman, C; and C Zhu, 2018. “Do the SEC Whistleblower Provisions of Dodd-Frank Deter Aggressive Financial Reporting?”, 2018 Canadian Academic Accounting Association (CAAA) Annual Conference.
- Wilde, J, 2017., “The Deterrent Effect of Employee Whistleblowing on Firms’ Financial Misreporting and Tax Aggressiveness”, The Accounting Review 92(5), 247-280.
Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.
Economic Perspectives on Domestic Violence
The COVID-19 pandemic and the resulting lockdown restrictions have amplified the academic and policy interest in the causes and consequences of domestic violence. With this in mind, the FREE Network invites academic papers to an online workshop focused on “Economic perspectives on domestic violence”.
The workshop will be organised as part of the Forum for Research on Gender Economics (FROGEE) supported by the Swedish International Development Cooperation Agency (Sida), and aims to combine papers on general aspects of domestic violence as well as contributions more specifically devoted to the consequences of the COVID-19 pandemic on the issue.
It is the next online webinar in the field of gender, which will take place on 24 September 2020. The webinar will combine presentations of academic papers focused on issues related to different forms of domestic violence which have increased significantly during the COVID-19 pandemic.
HOW TO JOIN
Please join the webinar HERE or via the Eventbrite registration page or application. We look forward to connecting with you for the webinar!
PROGRAM
The Dollar and the Global Monetary Cycle
The dominance of the dollar in international markets is at the heart of recent policy and academic debates at almost all conferences on international economics. Most recently, Bank of England Governor Mark Carney has suggested a new global electronic currency to reduce the dominance of the dollar (Carney 2019). What are the negative effects of the dollar’s dominance, and how can countries protect against its influence? We answer this and other related questions in our recent paper (Egorov and Mukhin 2019), which we summarize in this policy brief.
Stable prices
What are the sources of the dollar’s global powers? Ultimately, the dollar matters as long as it is used by private agents in their transactions. Recently, a lot of attention has been devoted to the role of the dollar in global financial markets, which gives rise to the so-called “global financial cycle” (Rey 2013). However, a growing literature (e.g., Gopinath et al. 2019) shows that the dollar also plays a central role in international goods markets with many exporters setting their prices in the U.S. currency. According to recent estimates, the share of goods with dollar prices is about 4-5 times larger than the share of the US in global trade (Gopinath 2016). That means many firms set prices in dollars even when they trade not with the US, but with other countries.
Even though this global invoicing role of the dollar may not seem important, many studies show that prices remain stable, or sticky, in the currency in which they are set. This means that in many countries, the prices of imported goods are almost fixed in dollars. Then movements in the dollar exchange rate immediately result in changes in the prices of these goods in the local currency. Of course, even dollar prices adjust occasionally, but recent empirical studies show that the dollar prices of imported goods remain pretty stable even two years after a change in the exchange rate (Gopinath et al. 2019).
Such stability of global prices in dollars has three important implications. First, the dollar exchange rate affects the volume of global trade. In any given country, appreciation of the dollar raises the local-currency prices of imported goods. Because of that, consumers switch from more expensive imported goods to cheaper domestic goods. The same happens in other countries, and thus all consumers buy fewer foreign goods, and the volume of global trade decreases.
Second, the dollar exchange rate affects world inflation and output. A rise in import prices after appreciation of the dollar increases inflation both directly and indirectly, through an increase in the costs to all domestic firms that use imported goods as inputs. The higher the costs, the more firms raise their prices, and the higher the inflation. Indeed, a recent empirical study shows that the dollar exchange rate is a good predictor of world inflation and the volume of global trade (Gopinath et al. 2019). Moreover, an increase in global inflation reduces consumers’ real income, and this leads to lower aggregate demand and thus to a reduction in world output. Therefore, dollar appreciation could trigger a world recession.
Third, we show that all countries find it optimal to partially peg their exchange rates to the dollar. Since changes in the dollar exchange rate could negatively affect output and inflation, all countries try to protect themselves from these external shocks. If it is not possible for a government to convince its private agents to stop using the dollar in their transactions, then the government could reduce the changes in the dollar exchange rate by pegging its currency to the dollar. Of course, this policy cannot address all issues, but at least the prices of imported goods can become more stable in the local currency.
Rigged system
What does this global use of the dollar imply for the US? First of all, it enables the US’s so-called “privileged insularity”. Since the prices of both local and imported goods in the US are stable in dollars, changes in exchange rates do not lead to inflation or expenditure switching between home and foreign goods. This gives rise to a significant asymmetry across countries: the dollar exchange rate has a substantial effect on other countries, but all other exchange rates have only a negligible effect on the US.
We show that the asymmetry in countries’ exposure to exchange rate shocks leads to an asymmetry in their monetary policy. All countries find themselves responding to US policy by partially pegging their exchange rates to the dollar. In contrast, due to its “privileged insularity”, the US can focus on its domestic targets, respond primarily to domestic shocks, and potentially achieve higher welfare than other countries, which are more exposed to foreign shocks.
So, when a local recession hits the US, the Fed stimulates the US economy regardless of the conditions of the world economy. Then all other countries stimulate their economies as well in order to keep their exchange rates more stable relative to the dollar. This creates what we call a “global monetary cycle”, where the whole world becomes more synchronized even when there are no global shocks common to all countries. The more prominent the role of the dollar is in the international goods market, the stronger this “global monetary cycle”. In fact, a recent empirical study confirms this prediction and shows that the higher the share of the dollar in the country’s import basket is, the stronger its peg to the dollar, and the more nominal interest rates follow the US interest rates (Zhang 2018).
Leveling the playing field
What can other countries do to diminish negative consequences from the “global monetary cycle”? One possible way to discourage firms from using the dollar could be the creation or expansion of a monetary union such as the Euro area. The larger the Eurozone is, the more countries within this area use the euro and not the dollar to trade with each other. Moreover, the Eurozone’s trading partners are more likely to use the currency of a larger monetary union (Mukhin 2018). If enough firms switch from the dollar to the euro, then we find that the Eurozone may gain the same advantage of “privileged insularity” as the US.
Another frequently mentioned policy to protect from the undesirable exchange rate effects is the use of capital controls, which are found to be effective in softening the “global financial cycle”. For example, a tax on borrowing in foreign currency can reduce the size of the foreign-denominated debt, so that depreciation does not lead to an increase in the nominal debt burden and start a recession. However, we find that under the “global monetary cycle” these measures turn out to be much less effective. Basically, capital controls primarily affect decisions in financial markets. But it’s the decisions of global exporters, that is decisions in international goods markets, that give rise to the “global monetary cycle”. And the effect of capital controls on exporters is much more subtle if present at all.
Conclusion
To sum up, we argue that as long as many firms continue to set prices in dollars, it is optimal for central banks to smooth movements in exchange rates in order to diminish the effects of the dollar on their economies. This partial peg to the dollar leads to the “global monetary cycle”. As a result, the US is free to implement a mostly independent monetary policy, while the rest of the world has to follow their lead.
References
- Carney, M., 2019. “The Growing Challenges for Monetary Policy in the Current International Monetary and Financial System”, Speech given at the Jackson Hole Symposium.
- Egorov, K., and D. Mukhin, 2019. “Optimal Monetary Policy under Dollar Pricing”, Working paper.
- Gopinath, G., 2016. “The International Price System”, Jackson Hole Symposium Proceedings.
- Gopinath, G., E. Boz, C. Casas, F. Diez, P.-O. Gourinchas, and M. Plagborg-Moller, 2019. “Dominant Currency Paradigm”, Working paper.
- Mukhin, D., 2018. “An Equilibrium Model of the International Price System”, Working paper.
- Rey, H., 2013. “Dilemma not Trilemma: The Global Financial Cycle and Monetary Policy Independence”, Federal Reserve Bank of Kansas City Econoic Policy Symposium.
- Zhang, T., 2018. “Monetary Policy Spillovers through Invoicing Currencies”, Working paper
Gender and the Agency Problem
Is it good for a firm to have a female CEO? Are countries with more female politicians less corrupt? An increasing attention to female representation in key roles in society has called for research exploring the outcomes and implications of such representation. A useful approach to investigate the impact of gender in such contexts is the so-called principal-agent framework which studies situations in which one party acts on behalf of another party. The idea is that the gender of participating parties is likely to affect motives, behavior and outcomes, predicted by the principal-agent framework. This brief reviews the use of the principal-agent framework for analyzing the effect of gender in two important areas of research: corporate finance and corruption. It outlines postulated theoretical channels for gender to matter, summarizes empirical findings and points to some of the policy challenges.
Increasingly, arguments in favor of more women in key positions are being put forth in society. Many European countries have by now introduced gender quotas for corporate board participation, with Norway being the first one to mandate a quota of 40% female board membership in late 2003. The United States joined the trend in 2018, with California being the first state to require women on corporate boards. The 2019 share of female CEOs in Fortune 500 companies is 5 %; while this number sounds very low, it is twice as high as a decade ago. Women’s presence in politics and bureaucracy is also increasing in many countries worldwide.
This tendency is clearly positive news in the fight for more gender equality, and it is likely to improve the position of women in the society. However, its implications for other economic and societal outcomes are not immediately clear. For example, is a more gender-balanced board or a female CEO good news for company performance? How would female politicians affect policy and societal outcomes?
One useful approach for answering such questions is based on the so-called principal-agent framework (developed to study what is known as “agency problems”). This framework, widely used in economics, political science and other related disciplines in the last half century, addresses the problem of incentivizing one person (referred to as an “agent”) to act on behalf of another person or entity (referred to as a “principal”). Many situations in real life are well described by this basic framework and it has been used in a wide range of different contexts, from relationships within a firm, or between a lawyer and her client, to insurance, real estate, policy choices by elected officials or appointed bureaucrats, and even situations involving corruption.
The relevant question is then whether, and if so, how, the gender of the agents can affect motives, behavior and outcomes, predicted by the principal-agent framework. This brief will focus on two main areas of studies within gender economics that use agency theory to motivate their findings: the role of gender in corporate governance, and in corruption. The brief will outline the theoretical channels through which the gender of the actors may act in these contexts, summarize the empirical findings of this literature, and shortly comment on policy implications. While the focus on two areas only may seem to be relatively narrow, it will allow identifying a number of common gender effects across the contexts, which may suggest implications for the other potential applications of the approach.
The basic principal-agent framework
Effectively any situation in which one party acts on behalf of another party for monetary or non-monetary compensation can be analyzed within an agency framework. A typical feature of such situations is that the parties have different objectives: for example, the board of the firm (the principal in this case) would be interested in maximizing the firm value, while the CEO (the agent) would probably be more concerned about her personal compensation. This difference is not necessarily problematic per se as long as the principal can get the agent to act as the principal wants. However, if parties do not have the same information – which is typically the case in the reality – the misalignment of their objectives becomes an issue.
Two main problems may arise in such situations. The first one is referred to as the problem of hidden action (moral hazard) – that the agent is likely to act in line with her own objectives, rather than in the principal’s ones. This is likely to occur as long as her effort cannot be perfectly monitored by the principal. For example, shareholders typically cannot directly attribute the evolution of the firm’s value to the actions of the CEO, which may result in the CEO making decisions that are, for instance, too risky from the firm’s value maximization perspective. The second one is the problem of hidden information – when the agent is better informed about the issues at stake than the principal, which again may result in the agent not acting in the best interest of the principal. For example, shareholders may have a poorer knowledge of the market than CEO, which may result in the CEO making decisions maximizing her own compensation rather than the firm’s value.
To lessen the extent of these problems, one needs to think of the spectrum of tools/decisions under the agent’s control, as well as of the design of her compensation schemes so as to align her private objectives with those of the principal. For example, to motivate a CEO to behave in the interests of shareholders, his/her compensation package typically includes company stock options. In some cases, the way to provide better incentives for the agent is to delegate more decisions, allow her more discretion and link her compensation closely to the outcome of her actions. One possible example of such a mechanism is franchising: on average franchisees retain about 94% of franchise profits, which would make them very motivated to achieve good franchise performance. However, the cost of high incentivization is the potential misuse of decision power, especially if the set of the decisions for an agent to have control over is not chosen wisely and if sufficient alignment (or intrinsic motivation) is not achieved. Another obstacle when implementing the principal’s preferred outcome is the trade-off between agent’s incentivization and risk aversion. The agent is typically seen as more risk-averse than the principal (for example, firms’ shareholders would typically diversify their risks by investing in a number of companies, while the CEO’s main source of income would be associated with the company she manages). As a result, the agent may avoid undertaking the principal’s value-maximizing actions because of the risks associated with them.
The bottom line of this discussion is that the task of incentivizing the agent may be difficult, and the principal’s best-preferred outcome may not be achievable.
Gender and the agency problem
There are many twists and modifications of the basic framework described above aimed at better modelling the specific problem at hand. One particular feature of the principal-agent relationship that has received increasing attention in the literature is the gender of the participating parties. The main strands of this literature have studied the relevance of gender for corporate governance and corruption.
Gender and corporate governance
The corporate governance part of the literature focuses on the impact of the gender composition of the board of directors or of the gender of the CEO on firms’ (or banks’) performance, risk-taking, capital allocation decisions, firm reputation etc. One standard approach to this set of questions is to consider the principal-agent relationship between the agent – the CEO – and the principal(s) – the board of directors (and sometimes other firm stakeholders) – and ask how, and why, the gender of either party may affect the relationship between them and the outcomes of this relationship.
There are several channels suggested by the literature. First, women and men may have different personal characteristics – such as risk aversion, level of confidence or ethical values (though there is not necessarily agreement on the direction of the difference: while most studies argue that, on average, men are typically more overconfident than women (e.g., Barber and Odean, 2001; Lundeberg et al., 1994), there is no consensus about risk attitudes – e.g., Jianakoplos and Bernasek (1998) or Croson and Gneezy (2009) show that women are more risk-averse than men, while Adams and Funk (2012) document the opposite). These differences in personal traits may affect the decision-making of a board/CEO in an incomplete-information environment and ultimately the firm’s performance.
Second, women and men may face different employment opportunities in case they lose their job, which, again, is likely to affect their decision-making and risk-taking (e.g., Faccio, Marchica and Mura, 2016).
Third, more gender-diverse boards may better reflect the preferences of (gender-mixed) firm stakeholders; in terms of the agency theory this would imply more aligned interests between the principal and the agent. It may matter because mixed-gender groups (and, by implication, boards) may exhibit different decision-making processes than same-gender groups, which, again, may introduce frictions into the agency relationship (e.g., Amini et al., 2017 or Van Knippenberg and Schippers, 2007).
Finally, the gender composition of the board may matter because female board members may improve monitoring over the actions of the CEO, since they are more independent not being part of the same “old boys’” social networks as the male members of the board and the (male) CEOs (Adams and Ferreira, 2009).
Empirically, this literature is largely inconclusive: while the majority of studies does find that the gender of the firm’s decision-maker(s) matters, the sign of the effect differs between studies, datasets and specifications. For example, based on a US sample of firms, Bernile, Bhagwat and Yonker (2018) find that more gender-diverse boards lead to lower firm risk, and better performance. In turn, Adams and Ferreira (2009) document negative effects of more diverse boards on performance. Sila et al. (2016) find no relation between board gender diversity and risk. Similarly ambiguous are the findings on the effect of CEO’s gender on firms’ performance, as measured by risk exposure, capital allocation, propensity to acquire, business strategies etc.
One possible reason for this variability of findings is the endogeneity of the presence of female CEOs/board members and firms’ outcomes, which is difficult to account for empirically (Hermalin and Weisbach, 1998; Adams et al., 2010). For example, female CEOs may self-select into firms with lower risks due to their own risk-aversion. Alternatively, corporate culture may affect the relationship between the gender of the CEO/board members and firm performance, etc. (see Adams, 2016 for an overview of this problem). There has been a number of attempts to address the causality/endogeneity issues in this context. For example, Bernile, Bhagwat and Yonker (2018) and Alam et al. (2018) exploit variation in the gender composition of boards created by the diversity of potential directors residing a non-stop flight away from the firm headquarters. Their motivation is that the personal travel costs of directors decrease with the availability of non-stop flights. Faccio et al. (2016) attempt to resolve the endogeneity issue by proxying the likelihood of hiring a female CEO by a measure of how many other firms that share board members with the firm in question have female CEOs. The idea there is that working with female CEOs in other firms may make board members more familiar with working with female executives, and more willing to hire a female CEO in the firm in question. A subset of the literature exploits reforms introducing gender quotas in corporate boards. These studies argue that the reforms are introducing an exogenous variation in the proportion of mandated changes in board gender composition – firms with more women in the board prior to the reform would need less adjustments to comply with the reform (see, e.g., Bertrand et al., 2018 for a state-of-the-art example of such an approach). Still, the endogeneity concern remains very valid for this literature. A recent literature overview by Kirsch (2018) or somewhat more dated, but still be relevant one by Terjesen et al. (2009) can be a good starting point for more detailed information on this field.
Gender and corruption
Similarly, there is a sizeable literature of gender aspects of corruption. This literature addresses a variety of topics, including the impact of corruption on women and gender inequality, gender-associated forms of corruption, and most importantly for us in the current context, gender attitudes and behavior towards corruption. One of the predominant theoretical mechanisms in this literature, again, uses agency theory. The main difference to the version of agency theory applied in the corporate governance case above is, perhaps, that in the case of corruption there is not always a clear pattern of subordination between the principal and the agent. More specifically, the principal for a (potentially corrupt) agent official may be either a higher-level official, or the direct recipient of her services or the electorate in general (of the agent official is elected). However, just as in the corporate governance literature, the gender vs. corruption literature asks the question how the outcome of an interaction between the principal and the agent would be altered by the gender of either party. It argues that women may behave differently from men in a corrupt environment through a number of channels, most of which resemble the ones in the corporate governance literature outlined above.
For example, gender differences in behavior and attitudes to corruption may be due to of personal traits, such as risk aversion or gender-specific conformity with social norms (e.g., Esarey and Chirillo, 2013 suggest that women are more likely to conform to the local social norms, so they are less likely to engage in corruption in an institutional environment where corruption is condemned, than in the societies when it is more accepted).
These differences may be due to differences in outside options of the corrupt official in case corruption gets detected (such as alternative employment opportunities). They may also be due to women not being part of business/political network(s), or having less experience in how things are done in decision-making positions. This could make them better monitors when they are in a principal role, or less able (or willing) to engage in corruption when in the role of agent. Thereby, it may result in a negative link between women in government and corruption, but only a short-term one (e.g., Pande and Ford, 2011). However, Afridi et al. (2017) argues for an opposite view, that a newly appointed female bureaucrat’s lack of experience may increase corruption due to inability to handle matters efficiently. Their empirical results indeed support it: in India newly appointed female council heads are less efficient than male ones due to lack of experience; this efficiency gap also includes higher corruption levels in female-led villages. With time, as the female council heads gain experience, the difference disappears.
As can be expected, empirically this field is again not entirely conclusive. The early empirical research suggested a negative link between gender and corruption, or, more specifically, found that a higher presence of women in government is associated with lower levels of corruption (e.g., Dollar, Fisman, and Gatti, 2001 or Swamy et al., 2001). However, there has since been a wide discussion about the causal mechanisms of this relationship. One of the arguments has been that this correlation is due to institutional mechanisms: greater representation of women in power is observed in a more developed institutional environment, which is also providing more effective checks on corruption (e.g., Sung, 2003). Still, the discussion is ongoing, as other scholars argue that the relationship is still in place even after controlling for the institutional factors, though not in all power positions (e.g., Jha and Sarangi (2018) show that female presence in parliament decreases corruption while other measures of female participation in economic activities have no effect). There is certain evidence of female bureaucrats being less aggressive in extracting bribes (Dabalen and Wane, 2008) or female business owners paying less bribes (Breen et al., 2017), but the determinants and the causal relationship of these findings are again, unclear.
There has been a number of attempts to resolve the causality issue of the gender-corruption link. Similarly to the corporate governance literature, researchers have used an instrumental variable approach (e.g., Jha and Sarangi (2018) use number of genders in a country’s language to instrument for female labor force participation, as it has been shown that gender discrimination is higher in countries where the dominant language has two genders as opposed to countries where it has no gender or three or more genders. The same authors use the year of universal suffrage to instrument the female participation in parliament). Unlike in corporate governance literature, a large part of this literature uses experimental approach, relying both on lab experiments to study gender attitudes to corruption (e.g., Rivas, 2013), and natural experiments (Afridi et al., 2017 study the reform in India that randomly allocated a third of council headship positions to women) and quasi-experiments (Brollo and Troiano (2016) look into close elections in Brazil and use a regression discontinuity design to show that female mayors are less likely to be corrupt). A useful overview of the literature is offered in Rheinbay and Chêne (2016).
Summing up and policy implications
There is an active public and academic debate about the greater involvement of women in key positions in society, its implications and outcomes, and potential policies to achieve it. A natural way of analyzing the implications of having more women in strategic positions utilizes the principal-agent modelling approach, with the presumption that the gender of the parties is likely to affect the model’s predictions and outcomes. A substantial attention in this literature has been devoted to the impact of gender in corporate governance and corruption. Importantly, these two strands of literature outline several common channels through which gender is likely to have an impact, such as risk aversion, outside opportunities in case of losing employment, etc. This similarity suggests that the same channels are likely to play a role in other gender-relevant agency contexts.
Another similarity between these two areas of research is the ambiguity of the results in terms of both theoretical predictions and empirical findings. One possible source of this ambiguity is, likely, suboptimality of the empirical methods used, which might not allow to adequately establish the causal relationship between the characteristics and outcomes of the agency relation and gender of its participants. Differences of the contexts of the empirical studies are another probable contributor to the variation in predictions and results.
However, this ambiguity obviously does not mean that policies to empower women should not be undertaken at all. First, even if the results of a particular narrowly-targeted policy are so far found to be ambiguous, it may still be highly useful in changing social norms, with all the benefits attached to it. For example, there is no sufficient evidence that establishing gender quotes in corporate boards would improve firms’ performance. For example, Ahern and Dittmar (2012) find that introduction of quota in Norway had a negative effect on Tobin’s Q. However, a quota reform in Norway resulted in the appointment of better qualified female board members and raised the career expectations of younger women post-reform (Bertrand et al., 2018). Second, this ambiguity stresses that there is no universal “silver bullet” policy applicable to all countries and contexts: the design of policies that address gender inequalities, as any other policy, needs to carefully account for the local institutional and cultural context. Further, recent contributions to this literature has become much more informative for the policy makers. An active development of this field and its methods suggests that we are about to learn much about the role of gender and other compounding factors in the above contexts. In other words, modern informed gender policy is just around the corner.
References
- Adams, R. B., (2016). Women on boards: The superheroes of tomorrow? Leadership Quarterly, 27 (3). pp. 371-386.
- Adams, R. B., Hermalin, B. E., & Weisbach, M. S. (2010). The role of boards of directors in corporate governance: A conceptual framework and survey. Journal of economic literature, 48(1), 58-107.
- Adams, R. B., & Ferreira, D. (2009). Women in the boardroom and their impact on governance and performance. Journal of financial economics, 94(2), 291-309.
- Adams, R. B., & Funk, P. (2012). Beyond the glass ceiling: Does gender matter?. Management science, 58(2), 219-235.
- Afridi, F., Iversen, V. & Sharan, M.R. (2017), Women political leaders, corruption, and learning: evidence from a large public program in India. Econ. Dev. Cult. Change, 66 (1) pp. 1-30.
- Ahern, K. R., & Dittmar, A. K. (2012). The changing of the boards: The impact on firm valuation of mandated female board representation. The Quarterly Journal of Economics, 127(1), 137-197.
- Alam, Z. S., Chen, M. A., Ciccotello, C. S. & Ryan, H. E., (2018). Gender and Geography in the Boardroom: What Really Matters for Board Decisions? Mimeo. Available at SSRN: https://ssrn.com/abstract=3336445
- Amini, M., Ekström, M., Ellingsen, T., Johannesson, M., & Strömsten, F. (2016). Does gender diversity promote nonconformity?. Management Science, 63(4), 1085-1096.
- Barber, B. M., and Odean T. (2001). “Boys Will Be Boys: Gender, Overconfidence, and Common Stock Investment.” The Quarterly Journal of Economics 116, no. 1: 261-92.
- Bernile, G., Bhagwat, V., & Yonker, S. (2018). Board diversity, firm risk, and corporate policies. Journal of Financial Economics, 127(3), 588-612.
- Breen, M., Gillanders, R., McNulty, G., & Suzuki, A. (2017). Gender and corruption in business. The Journal of Development Studies, 53(9), 1486-1501.
- Brollo, F., & Troiano, U. (2016). What happens when a woman wins an election? Evidence from close races in Brazil. Journal of Development Economics, 122, 28-45.
- Croson, R., & Gneezy, U. (2009). Gender differences in preferences. Journal of Economic literature, 47(2), 448-74.
- Dabalen, A., & Wane, W. (2008). Informal payments and moonlighting in Tajikistan’s health sector. The World Bank Policy Research working paper 4555, https://elibrary.worldbank.org/doi/pdf/10.1596/1813-9450-4555
- Dollar, D., Fisman, R., & Gatti, R. (2001). Are women really the “fairer” sex? Corruption and women in government. Journal of Economic Behavior & Organization, 46(4), 423-429.
- Esarey, J., & Chirillo, G. (2013). “Fairer sex” or purity myth? Corruption, gender, and institutional context. Politics & Gender, 9(4), 361-389.
- Faccio, M., Marchica, M. T., & Mura, R. (2016). CEO gender, corporate risk-taking, and the efficiency of capital allocation. Journal of Corporate Finance, 39, 193-209.
- Hermalin, B. E., & Weisbach, M. S. (1998). Endogenously chosen boards of directors and their monitoring of the CEO. American Economic Review, 96-118.
- Jha, C. K., & Sarangi, S. (2018). Women and corruption: What positions must they hold to make a difference?. Journal of Economic Behavior & Organization, 151, 219-233.
- Jianakoplos, N. A., & Bernasek, A. (1998). Are women more risk averse?. Economic inquiry, 36(4), 620-630.
- Kirsch, A. (2018). The gender composition of corporate boards: A review and research agenda. The Leadership Quarterly, 29(2), 346-364.
- Lundeberg, M. A., Fox, P. W., and Punccohar, J. (1994). Highly confident but wrong: Gender differences and similarities in confidence judgments. Journal of Educational Psychology, 86( 1), 114
- Pande, R., & Ford, D. (2011). Gender Quotas and Female Leadership. Background Paper for World Development Report, World Bank.
- Rheinbay J. & Chêne, M. (2016). Gender and corruption topic guide, Transparency International, https://www.transparency.org/files/content/corruptionqas/Topic_guide_gender_corruption_Final_2016.pdf
- Rivas, M. F. (2013). An experiment on corruption and gender. Bulletin of Economic Research, 65(1), 10-42.
- Sila, V., Gonzalez, A., & Hagendorff, J. (2016). Women on board: Does boardroom gender diversity affect firm risk?. Journal of Corporate Finance, 36, 26-53.
- Sung, H. E. (2003). Fairer sex or fairer system? Gender and corruption revisited. Social Forces, 82(2), 703-723.
- Swamy, A., Knack, S., Lee, Y., & Azfar, O. (2001). Gender and corruption. Journal of development economics, 64(1), 25-55.
- Terjesen, S., Sealy, R. & Singh, V. (2009). Women Directors on Corporate Boards: A Review and Research Agenda. Corporate Governance: An International Review, 17(3), pp.320–337.
- Van Knippenberg, D., & Schippers, M. C. (2007). Work group diversity. Annu. Rev. Psychol., 58, 515-541.
Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.
Do Macroprudential Policy Instruments Reduce the Procyclical Impact of Capital Ratios on Lending? Cross-Country Evidence
In this brief, we ask about the capacity of macroprudential policies to reduce the procyclical impact of capital ratios on bank lending. We focus on aggregated macroprudential policy measures and on individual instruments and test whether their effect on the association between lending and capital depends on bank size. We find that macroprudential policy instruments reduce the procyclical impact of capital on bank lending during both crisis and non-crisis times. This result is stronger in large banks than in other banks. Of individual macroprudential instruments, only borrower-targeted LTV (loan-to-value) caps and DTI (debt-to-income) ratios weaken the association between lending and capital and thus act countercyclically. With our study, we are able to support the view that macroprudential policy has the potential to curb the procyclical impact of bank capital on lending and therefore, the introduction of more restrictive international capital standards included in Basel III and of macroprudential policies in general are fully justified.
Macroprudential policy after the GFC
The Global Financial Crisis (GFC) highlighted the need to go beyond a purely microprudential approach (i.e. focusing on the health of individual firms) to regulation and supervision of the banking sector. The empirical literature supports the view that macroprudential policies (i.e. those addressing the general condition of the whole financial system) are able to decrease the vulnerability of the banking sector (see Claessens et al., 2013 for a review, and Cerutti et al., 2015). The increased resilience of the banking sector means that banks are able to absorb losses of greater magnitude – due to higher capital buffers (or provisions) or better access to funding sources, thus reducing the likelihood of a costly disruption to the supply of credit (CGFS, 2012), in particular during crises or recessionary periods. Considering this, macroprudential policies are expected to reduce the procyclical impact of capital ratios on loan supply.
Lending activity of banks and capital ratio nexus
It is a well-known tenet in the banking literature that capital adequacy rules have an impact on the behaviour of banks (Borio & Zhu, 2012). They are expected to protect banks from economic death, i.e. from insolvency or going bankrupt. Previous literature stresses the importance of capital ratios for lending behaviour, during both good economic conditions and in crisis or recessionary periods, in particular in banks with thin capital ratios, and thus insufficient buffers needed to cover loan-losses, (see Beatty & Liao, 2011; Carlson, Shan, & Warusawitharana, 2013) or in large banks (Beatty & Liao, 2011). The problem of the effect of capital ratios on bank lending has been studied extensively since the 1990s, when the first Basel Accord was introduced as an international capital standard (see Jackson et al., 1999). In the wake of the recent GFC, the topic has attracted renewed attention as concerns have arisen that large losses at banks would hinder their capital adequacy and restrain their lending. Capital is found to affect lending behaviour in large publicly-traded banks by Beatty and Liao (2011) and in US commercial banks by Carlson et al. (2013). Additionally, in a cross-country study, Gambacorta and Marqués-Ibáñez (2011) show that publicly traded banks tend to restrict their lending more during recessions or crisis periods due to insufficient capital ratios. Such an effect is referred to as a procyclical capital ratio on bank lending (Beatty & Liao, 2011; Peek & Rosengren, 1995a).
However, previous literature on the link between lending and capital can be roughly subdivided into two groups: The studies that considered macroprudential policy instruments have been limited to individual countries (United States by Beatty & Liao, 2011 and Carlson et al., 2013; France by Labonne & Lame, 2014; United Kingdom by Mora and Logan, 2011), so that all banks were equally affected by the country’s banking policy and regulations. In turn, the studies that focused on the link between lending and capital across countries, have not accounted for macroprudential policy and its instruments (Gambacorta & Marqués-Ibáñez, 2011).
In our recent paper (Olszak, Roszkowska, and Kowalska, 2019) we extend the existing research by exploring the countercyclical effects of macroprudential policy factors on the association between loan growth and capital ratios on a large cross-country panel.
Why can macroprudential policy affect the link between lending and capital ratios of banks?
While policy standard-setters argue that the new macroprudential approach to regulation and supervision should reduce procyclicality in banking, and in particular by increasing banks’ resilience, it should diminish the effect of capital ratio on loan supply, the empirical evidence on this subject is not available.
In our paper, we employ a cross-country data-set to examine whether the application of macroprudential policies affects the link between loan supply and capital ratios, before and during the 2007/2008 crisis period in a sample of over 4500 banks from 67 countries. The main purpose of the paper is to examine whether macroprudential policy instruments, which were in use before the GFC, had a significantly negative impact on the positive association between lending and capital ratios, during the crisis and in the non-crisis period. If we identify such a negative effect, we will be able to empirically test the view that macroprudential policy is effective in increasing the resilience of banks and thus affects the procyclicality of bank capital regulation.
Based on the previous evidence, we first hypothesize that the link between lending and capital is positive, and is reduced in countries which applied macroprudential policies in the pre-crisis period. Following the capital crunch theory (see Peek & Rosengren, 1995a; and Beatty & Liao, 2011), we expect that the link between lending and capital is strengthened in the crisis period, and is reduced in countries in which the use of macroprudential instruments was more extensive in the pre-crisis period and continued to be used during the crisis. As the association between loan growth and capital ratios, in particular during crisis periods, was found to be stronger in large banks (see Beatty & Liao, 2011), we also examine whether macroprudential policy effects on the association differ between large and other banks (i.e. medium and small).
We use the Bankscope database and data-set on macroprudential policies available in Cerutti et al. (2015) to test our hypotheses. We analyse the effects of macroprudential policies on the association between lending and capital ratio using individual commercial bank data from 67 countries over the period of 2000–2011.
Findings
We find a consistent and strong effect of macroprudential policies on the association between loan growth and capital ratios.
Further, unlike previous studies on the link between bank vulnerability and macroprudential policy, we differentiate between large, medium and small banks, because previous evidence shows that capital ratios affect bank lending with a different magnitude, depending on the bank size (see Beatty & Liao, 2011). Indeed, we find evidence in favour of the expectation that bank size matters for the impact of macroprudential policies for the link between lending and capital.
Analysis of the role of individual macroprudential policy instruments shows that only loan-to-value caps and debt-to-income ratios weaken the positive effect of capital ratios on lending. This means that in countries which apply such instruments, bank lending is not prone to shortages in capital buffers, in particular during financial crisis. Thus, the banking sector does not add to business cycle fluctuations.
We also identify which instruments are better at curbing the procyclicality of capital standards. In particular, we find that borrower targeted macroprudential instruments (such as loan-to-value caps) or restrictions on balance sheets of financial institutions (such as dynamic provisions or leverage ratios), are more effective in reducing the procyclicality of capital standards.
Policy implications
Our finding that macroprudential policies are able to alleviate the impact of capital ratio on lending, in particular during the crisis, may have certain implications for policy makers in the area of implementation of commonly recognized standards targeted at the reduction of borrower risk-taking. Our results suggest that more frequent use of these instruments may create additional buffers in large banks and in emerging and closed-capital-account economies, thus making large banks’ lending and lending of banks in emerging markets and closed economies less affected by capital ratios during crisis periods. Therefore, in the current work aimed at creating macroprudential regulations, more attention should be focused on instruments which have the potential to reduce borrower risk.
References
- Beatty, A., & Liao, S. (2011). Do delays in expected loss recognition affect banks’ willingness to lend? Journal of Accounting and Economics, 52, 1-20.
- Borio, C., & Zhu, V.H. ( 2012). Capital regulation, risk-taking, and monetary policy: A missing link in the transmission mechanism? Journal of Financial Stability, 8, 236–251. doi:10.1016/j.jfs.2011.12.003
- Carlson, M., Shan, H., & Warusawitharana, M.(2013). Capital ratios and bank lending: A matched bank approach. Journal of Financial Intermediation, 22, 663–687. doi:10.1016/j.jfi.2013.06.003
- Cerutti, E., Claessens, S., & Laeven, L. (2015). The use and effectiveness of macroprudential policies: New evidence. IMF Working paper WP/15/61.
- Claessens, S., Ghosh, S., & Mihet, R. (2013). Macro-Prudential policies to mitigate financial system Vulnerabilities. Journal of International Money and Finance, 39, 153–185.
- Committee on the Global Financial System. (2012). Operationalising the selection and application of macroprudential instruments. CGFS Papers No 48. Bank for International Settlements. 2012.
- Gambacorta, L., & Marqués-Ibáñez, D. (2011). ‘The bank lending channel. Lessons from the crisis.’ Working paper series No 1335/May 2011. European Central Bank.
- Jackson, P., Furfine, C., Groeneveld, H., Hancock, D., Jones, D., Perraudin, W., Yoneyama, M. (1999). Capital requirements and bank behaviour: The impact of The Basle Accord. Basle: Bank for International Settlements.
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Acknowledgement: This Policy Brief is based on a recent article published in the Baltic Journal of Economics (Olszak, Roszkowska, and Kowalska, 2019).
Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.
Trade Induced Technological Change: Did Chinese Competition Increase Innovation in Europe?
The last 30 years has witnessed a shift of the world’s manufacturing core from Europe and North America to China. A key question is what impact this has had on manufacturing workers in other developed economies, and also on innovation, patenting, IT adoption, and productivity growth. While a rigorous data analysis on these variables for developing economies, particularly in Eastern Europe, is not yet available, this brief examines the impact of the rise of China on innovation in Western Europe, and also reviews the evidence on the impact of the rise of China generally. Recent research by Bloom, Draca, and Van Reenen (2016) found that Chinese competition induced a rise in patenting, IT adoption, and TFP by 30% of the total increase in Europe in the early 2000s. Yet, we find numerous problems with the Bloom et al. analysis, and, overall, we do not find convincing evidence that Chinese competition increased innovation in Europe.
Few events have inspired the ire of economists as much as Brexit and the rise of Donald Trump, two events seen as related as both were a seeming reaction to both globalization and slowing economic growth, particularly as some (such as Trump himself) saw the former as a key cause of the latter. Both Brexit and the trade war spawned by Trump do seem to have had negative economic effects – US equities have suffered every time the trade war has escalated, while anecdotal reports and more sophisticated economic analyses seem to suggest that Brexit has cost the UK jobs.
And yet, there is a need for policy makers and economists to hold two ideas in our heads simultaneously: Trump’s trade war and Brexit may be policy disasters, and yet globalization can create both winners and losers, even if it is clear that, generally speaking, the overall gains are likely positive and large. This is likely also true of the rise of China – one of the most dramatic events in international economics in the past 50 years. Figure 1 shows the increase in trade with China from the early 1980s to 2017, a period in which US imports from China grew from 7 to 476 billion dollars.
Figure 1. Chinese Imports (in logs, deflated)
Source: World Bank WITS
The academic literature tends to show that this impact, the rise of China, may have cost the US as much as 2.2 million jobs directly (Autor et al.), and as much as 3 million jobs once all input-output and local labor market effects are included. While approximate, these numbers are large enough for the China shock to have played a role in the initial onset of “secular stagnation” – the growth slowdown which began around 2000 for many advanced nations, including the US and Europe. In addition, Autor et al. (forthcoming) found that Chinese competition also resulted in a decline in patent growth. In the European context, however, other authors have found that although China did do some damage to certain sectors, overall, it does not appear to have been quite as damaging, particularly in Germany, which also benefitted from exporting increased machine tools to the Chinese manufacturing sector. And, in a seminal paper, Bloom, Draca, and Van Reenen (2016) find that Chinese competition actually led to an increase in patents, IT adoption, and productivity in Europe from 1996 to 2005, along accounting for nearly 30% of the increase. This is important, as it implies that without the rise of competition with China, the slowdown in European growth would have been even more pronounced than it was. It also implies that, far from being a source of stagnation, Chinese competition has been a source of strength. It also makes it more likely that the slowdown in growth since 2000 was caused by supply-side factors, such as new inventions becoming more difficult over time, as is perhaps the leading explanation among economists, notably Northwestern University business professor, Robert Gordon (2017), and also supported by others (see this VoxEU Ebook featuring a “who’s who?” among economists). It would also be evidence that contradicts the “Bernanke Hypothesis” that the former US Fed Chair first laid out in a 2005 speech at Jackson Hole, in which he suggested that international factors – particularly the savings glut and US trade deficit – were behind falling interest rates in the US. Since then, Ben Bernanke has followed up with a series of blog posts suggesting that these international factors were the cause of the initial onset of secular stagnation.
Figure 2. European Growth Relative to Trend
Source: World Bank WDI
In this brief, I present new research in which my coauthor and I test the robustness of the research finding that China had a positive impact on innovation in Europe (Campbell and Mau, 2019). We find that these findings are very sensitive to controls for time trends and other slight changes in specification. We also find that the number of patents matched to firms in the sample shrinks over the sample period (from 1996 to 2005). Overall, we conclude that, unfortunately, it is unlikely that the rise led to a significant increase in innovation in Europe, although more research is needed. Our research also sheds light on the so-called “replication crisis” currently gripping the social sciences, as researchers begin to realize that many published findings are not robust.
Trade-Induced Technical Change?
Bloom, Draca, and Van Reenen (2016) – hereafter BDV – tried to isolate the impact of the rise of China on Europe using several methods, using firm-level data for Europe. They placed each firm in a 4-digit sector, where they measured imports from China over time. First, they just looked at changes in patents, IT, and total factor productivity (TFP) at the firm level for sectors in which Chinese imports increased a lot vs. other sectors. But, because economists are always weary of the difficulty of isolating a causal relationship from non-experimental data, the authors, worrying that the sectors which saw increases in Chinese imports might differ systematically from the others, the authors also used what is called an instrumental variable. That is, they used the fact that when China joined the WTO in 2001, they also negotiated a reduction in textile quotas. Thus, BDV reason that textile sectors which had tightly binding quotas prior to removal were likely to have had fast growth in Chinese imports after China’s accession to the WTO. Thus, they end up comparing textile sectors in which the quotas were binding to sectors in which they were not binding. We went back and compared the evolution of patents in these same groups (sectors with binding textile quotas vs. not binding) below in Figure 3.
Figure 3. Patent Growth in China-Competing Sectors (Quota Group) vs. Other Sectors
Notes: The vertical red lines are dates when textile quotas were removed. The blue line shows the evolution of patents in the sectors without binding quotas (non-competing sectors), and the red line is the evolution of patents in the China-competing sectors. The dotted lines are 2 standard deviation error bounds.
What is immediately obvious in Figure 3 is that patents are declining rapidly over the whole period in both groups. The overall level of patents was falling in both groups for the full period. There is a 95.8% decline in patenting for the China-competing group, vs. a 96.2% decline for firms in the non-competing (“No quota”) group. By 2005, average patents per firm are close to zero in both groups (.04 in the China-competing sectors vs. .11 in the others). However, in the “No quota” group, the initial level of patents – close to three per firm per year – was much larger than in the quota group. Since patents are falling rapidly in both groups but bounded by zero, the level of the fall in patents in the non-quota group is larger, but one can easily see that much of this decline happens before quotas are removed. If we control for simple time trends, the effect goes away. Also, given the tendency of patents to decline, we can also remove the correlation between Chinese competition and patent growth in some specifications by simply controlling for the lagged level of patents. The overall declining share of patents in the BDV data also raises questions about data selection issues, as patents granted in the BDV data in the later years were a smaller share of the total patents actually granted in reality.
BDV also look at the impact of the rise of China on IT adoption. However, here they proxied IT adoption by computers per worker, but they did not collect enough data to control for pre-trends properly in the data, so we cannot be sure whether this correlation is causal or not. (For what it is worth, on the data we do have, from 2000 to 2007, including trends in the data renders the apparent correlation between Chinese import growth and computers-per-worker insignificant.)
Lastly, BDV look at the impact of the rise of China on TFP growth. Here, unlike before, we find that their measure is robust across various estimation methodologies. However, when we look at changes in a commonly used alternative measure of productivity, value-added per worker, instead of TFP (as TFP needs to be calculated using strong assumptions about the functional form of technology), we find no impact (see Figure 4 below).
Figure 4. Value-Added per worker Growth: China-competing sectors vs. others
Figure 4 above compares the evolution of value-added per worker in the most China-competing sectors vs. the others. Trends look similar for firms in either group of sectors (China-competing or otherwise), and we do not find a correlation. We also do not find that Chinese competition led to an increase in profits, nor an increase in sales per worker (in fact, we found a significant decrease in most specifications).
Conclusion
All in all, we find that the BDV findings suggesting that the rise of China had a large impact on innovation in Europe is not robust. However, in most specifications, we also don’t find a negative impact as did Autor et al. (forthcoming) for the US. This might have to do with data quality, although it does seem to be closer to other work, such as Dauth et al. (2014), which suggests that the rise of China had a smaller impact in Germany than in the US.
We also felt it was a bit alarming that a simple plot of the trends in patents for China-competing and not-competing sectors was enough to seriously question the conclusions of BDV, as their paper was published in the Review of Economic Studies, a top 5 journal in academic economics. If influential articles published in the most fancy journals can exhibit such mistakes, this underscores the extent which the profession of economics may suffer from many published “false-positive” results. The reasons why this could be the case are obvious: researchers are under pressure to find significant results, as top journals don’t often publish null results, and replication is exceedingly rare in a field in which one needs to make friends to publish. However, there are signs that replication is becoming more mainstream, and as it does, we can certainly hope that voters around the world will turn back to science.
References
- Autor, D., D. Dorn, G. H. Hanson, G. Pisano, and P. Shu. Forthcoming. Foreign Competition and Domestic Innovation: Evidence from US Patents. Forthcoming: AEJ:Insights.
- Bloom, N., M. Draca, and J. Van Reenen. 2016. “Trade Induced Technical Change? The Impact of Chinese Imports on Innovation, IT and Productivity.” The Review of Economic Studies 83 (1): 87–117.
- Campbell, Douglas and Mau, Karsten. 2019.. Trade Induced Technological Change: Did Chinese Competition Increase Innovation in Europe?”, mimeo
- Dauth, W., S. Findeisen, and J. Suedekum. 2014. “The Rise of the East and the Far East: German Labor Markets and Trade Integration.” Journal of the European Economic Association 12 (6): 1643–1675.
- Gordon, R.J., 2017. The rise and fall of American growth: The US standard of living since the civil war (Vol. 70). Princeton University Press.
Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.