Tag: Efficiency

Does Gender Diversity Actually Matter?

20200203 Does Gender Diversity Actually Matter FREE Network Image 03

Measuring the effects of gender diversity on performance is important to understand the impact of gender quotas. However, the effects of gender diversity remain understudied. We need data with a reliable assessment of team member quality to disentangle the effects of diversity from compositional effects (when higher-quality women replace mediocre men). We use the unique database of the trivia game “What? Where? When?” which has information on both the performance and gender composition of the team and allows to track each player individually. We find that the gender diversity of the team has no statistically significant effect once we control for the quality of each player. In this particular environment, with little evidence of gender discrimination, instruments like gender quotas have no merit. This result does not apply to discriminatory environments where gender quotas could bring benefits through compositional effects.

Introduction

As gender quotas have been widely introduced in politics and in the corporate world, the effects of gender diversity have become the center of attention of many economists. Many observational studies find positive effects of gender diversity on corporate boards’ performance (Desvaux, Devillard, & Sancier-Sultan, 2010). Other studies, using the introduction of gender quotas in boards as a natural experiment, find negative effects on stock valuation, which disappear in the longer run (Ahern and Dittmar, 2012; Matsa and Miller, 2013; Eckbo et al., 2019).

The effect of gender diversity on team performance may run through two different mechanisms. One mechanism is compositional effects due to discrimination: if women face a glass ceiling, only the best women get into teams/boards, and they are on average of higher quality than men. Hence, boards with female representatives perform better. The discrimination mechanism has been shown to be at work in the political setting, for example: gender quotas in parties lead to higher-quality women replacing mediocre men (Besley et al., 2017). The other mechanism is the true effect of gender diversity through complementarity between men and women: if they differ substantially in some dimensions, these differences might become the source of better team decisions, or, on the contrary, inefficiencies in decision-making.

To separate between the two mechanisms – compositional effects and diversity effects – we need data with reliable quality measurement for each team member. Controlling for team member quality would take care of the compositional effect, and the gender composition would be significant only if there is a true gender diversity effect.

We use the What? Where? When? trivia game dataset to measure the effects of gender diversity on team performance with and without control for a player’s quality.

The What? Where? When? Game

What? Where? When? (WWW) is a team-played trivia game popular in post-Soviet countries. Teams of six players are asked questions and have one minute to come up with an answer. Typically, in order to find the correct answer, a team needs to combine both logical thinking and knowledge. A tournament usually consists of 36-90 questions. The team with the most correct answers wins the first place. In 2003, a unified database of the game was created. This database contains records of more than 218,000 individuals who have played in at least one of the 6,000 recorded tournaments.

The What? Where? When? Dataset

A unit of observation in our dataset is one game played by a team. It contains the unique ID of the team, the ID of each player, information about the number of games played by the team and by each player, the tournament date, the difficulty of the tournament and the number of teams. We identify the gender of the players through their names and patronymic names. Overall, we use 74,475 team-game observations which were played by 2,854 teams (23,000 single players) from 2013 to 2018.

Performance Measure

The measure of a team’s performance in a tournament is the percentage of correct answers normalized by the average percentage of correct answers in this tournament. We use player’s individual fixed effects as a measure of their quality in our regression analysis.

Gender Aspects in What? Where? When?

Only 31.5% of the players in the sample are female, however, other than that, we fail to find any significant evidence indicating gender discrimination or segregation. Table 1 presents the actual shares of team-game observations by gender composition as well as the predicted shares if assignment to teams was random. The difference between the actual shares and predicted shares does not appear to be economically significant.

Table 1: The actual distribution of women across teams is not different from random

Source: Authors’ calculations based on the What? Where? When? dataset. Random assignment assumes that the share of women across all teams is equal to 31.5% as in the actual data.

Results

The basic model of our analysis, Model 1 examines the association between the performance of a team, normalized by tournament difficulty, with dummy variables for gender diversity (defined as the number of minority gender players in the team, i.e. diversity_1 is true if there is only one woman or only one man on the team). We also include the individual fixed effects of each player in the second specification (Model 2), to control for the quality of players and rule out possible composition effects.

Table 2. Effect of diversity on performance with and without the individual quality controls

Source: Authors’ calculations based on What? Where? When? dataset. Individual fixed effects are included in the specification with the quality control. Only players who played at least a median number of games (62) are included.

The coefficients of Model 1 and 2 are shown in Table 2. While diversity is significant in the first specification, after accounting for the individual quality of players, we cannot reject the hypothesis of insignificance of gender diversity. These results hold under different specifications: with controls for player experience, with different player experience cutoffs, or including the neural network-generated predictions of performance.

Figure 1. The distribution of individual coefficients (proxy for player quality) for female and male players

Source: Authors’ calculations based on the What? Where? When? dataset. Each individual coefficient is a proxy to the player’s quality estimated in the regression from Table 2. Only players who played at least a median number of games (62) are included.

Figure 1 presents the distributions of individual coefficients of female and male players. In our sample, the female distribution centers slightly to the left of the male one. It explains the negative diversity coefficients in the specification without the individual fixed effects – in this case, the diversity dummies capture the lower average quality of female players.

Conclusion

Our study aimed at disentangling compositional and pure effects of gender diversity by using a novel dataset of a team played trivia game. Our main finding is that after accounting for the individual quality of team members, the gender composition of a team does not appear to be significant for a team’s performance.

Although it is always dangerous to extrapolate findings obtained in specific settings, we believe that the positive gender diversity effects found in other studies are often manifestations of the change in the average quality of team/board members i.e. compositional effects rather than gender diversity effects per se. From a policy point of view, this means that while we need gender quotas in areas suffering from gender discrimination, once we reach equal opportunities such instruments may no longer have any positive effects.

References

  • Ahern, Kenneth R., and Amy K. Dittmar, 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.
  • Besley, Timothy, Olle Folke, Torsten Persson, and Johanna Rickne, 2017. “Gender quotas and the crisis of the mediocre man: Theory and evidence from Sweden.” American Economic Review 107, no. 8 : 2204-42.
  • Desvaux, Georges, Sandrine Devillard, and Sandra Sancier-Sultan, 2010. “Women at the top of corporations: Making it happen.” McKinsey & company : 7-8.
  • Eckbo, B. Espen, Knut Nygaard, and Karin S. Thorburn, 2019. “Board Gender-Balancing and Firm Value.” Dartmouth College working paper.
  • Matsa, David A., and Amalia R. Miller, 2013. “A female style in corporate leadership? Evidence from quotas.” American Economic Journal: Applied Economics 5.3: 136-69.

Buyer Competence and Procurement Renegotiations

20191201 Buyer Competence and Procurement Renegotiations FREE Network Policy Brief Image 01

This brief deals with the extent to which a more competent public bureaucracy can contribute to better economic outcomes. It addresses this question in the context of public procurement, governments’ purchase of goods and services from private contractors, which accounts for about 15% of GDP in most economies and is on the rise. The efficiency of the procurement process directly influences the prices and quality of many government-provided goods and services that are crucial to social welfare objectives and sustained economic growth. Several issues challenge this efficiency. Media attention is typically on episodes of corruption, which can of course be a major source of waste. Here, we focus on a less glamorous, often overlooked, but potentially even more important source of waste, the lack of procurement competence.

Public procurement is a complex task. Contracting authorities must know market characteristics, design and implement efficient award mechanisms, balance risks and incentives in drafting contracts, effectively manage the contracts in the execution phase, etc. Effective procurement, in particular for complex services or works, requires teams endowed with legal, marketing, engineering, and economic/strategic expertise. The World Bank‘s Benchmarking Public Procurement 2017 compares the quality of the legal and regulatory environments of 180 countries and reveals the existence of great heterogeneity in the quality of the procurement processes across countries. Saussier and Tirole (2015) focus on the case of France, documenting that 63% of the staff of French contracting authorities do not have a legal profile, and only 39% have qualifications specific for managing public purchases.

Recent research focusing on prices of standardized goods showed that (lack of) buyer competence among public buyers could make an even bigger impact on the waste of public funds than corruption. For example, Bandiera, Prat and Valletti (2009) estimate that Italian public buyers would save 21 percent of their expenditures if they all paid the same as the buyers at the 10th percentile of the estimated procurement price distribution. Savings could reach 1.6-2.1 percent of the Italian GDP per year. They then estimate that bureaucratic inefficiency also linked to incompetence is the main cause of waste, accounting for 83 percent of total estimated waste, compared to only 17 percent due to corruption. In a similar vein, Best, Hjort and Szakonyi (2017) report that over 40 percent of within-product price variation on standardized goods in Russia in 2011-2015 can be ascribed to the bureaucrats and organizations in charge of procurement. They estimate that if the least effective quartile of bureaucrats and organizations had the effectiveness of the 75th percentile, the Russian government would save around $13 billion per year – roughly one fifth of the total amount spent on health care by the Russian government at federal, regional, and municipal level combined.[1]

The role of competence in complex procurement

This problem is becoming even more serious now that, being under fiscal pressure after the crises, many governments are promoting the use of public procurement not only as a tool to save budgets – sometimes at the expense of quality – but also to achieve more complex objectives like fostering innovation, protecting the environment, and promoting social objectives, a multiplicity of goals that per se makes the procurement mission even more complex.

Little is known about the importance of procurement competence in more complex procurements, not least because it is very difficult to measure performance in these environments. In our paper (Decarolis et al. (2019)) we try to make a step in this direction by focusing on works and services, typically more complex than goods. We use data from the US, probably the country with the most well-developed system of production and certification of procurement competences. Thus, our estimates of the effect of lack of competences should provide a lower bound of most other countries.

We combine, for the first time, three large databases: contract-level data on procurement performance in the Federal Procurement Data System (FPDS); bureau-level data from a survey conducted by the Office of Personnel Management since 2002 on federal employees, the Federal Employee Viewpoint Survey (FEVS); and Federal Workforce Data (FedScope) containing information on characteristics of the public workforce at the employee level.

To quantify the extent to which the government-bureau-level competencies determine procurement outcomes, we use the first database to construct procurement performance measures and the second dataset to build measures of procurement offices’ competence. We then use the third database to construct instruments that help us addressing important endogeneity issues. Our identification strategy exploits the exogeneity of death events involving public officials to allow for a causal interpretation of bureau competence on procurement performance.

Measurement Challenges

Indeed, there are three main challenges that our analysis needs to overcome. The first is how to measure procurement performance. Unit price comparisons have been used for standardized goods, but they are not suitable for the more complex procurements we focus on as they are heterogeneous in many non-recorded dimensions and their contracts are often incomplete. We use FPDS instead to construct three proxies of performance based on time delays, cost overruns, and the number of renegotiations. Although the first two measures are widely used in the literature, we are careful to take into account that cost overruns and delays may be due to new or additional work requested by the public buyer, in which case they should not be viewed as indicative of a poor outcome. We, therefore, consider only those which have occurred to deliver the work or service that was originally tendered. The third performance measure, the overall number of renegotiation episodes, is new and aims at capturing Williamson’s “haggling costs,” which are a pure deadweight loss present whatever the reason behind the renegotiation and have been shown to be economically sizeable for complex contracts. Our data reveals a surprising and persistent heterogeneity along these three dimensions across US federal bureaus.

The second challenge is the measurement of bureaucratic competence. Other papers in the field have measured it using buyer fixed effects. We use a novel approach based on the mentioned survey of employees’ subjective evaluations (FEVS). The survey is extremely rich, and we chose the most general question as an overall measure for competence (How would you rate the overall quality of work done by your work unit?). Responses to this question should be seen as measures of the overall efficacy of the workflow and processes within the bureau, hence proxying for the ideal measure of competence on the many different aspects relevant to procurement. An extensive set of robustness checks support our idea of measuring competence through the FEVS data.

The third measurement problem is the association between more complex contracts and more competent buyers: the most competent buyers may consistently produce poor performance because they are allocated the most complicated procurements. This point is well illustrated in a case study showing that the performance of the agencies that are worst in terms of competence (the Department of Veterans Affairs and the Department of Justice) is superior to that of the two most competent agencies (the NASA and the Nuclear Regulatory Commission) in terms of both delays and cost overruns. This striking inversion indicates that any straightforward regression of performance on competence would grossly underestimate the impact of competence.

We, therefore, develop an instrumental variable strategy exploiting exogenous changes in competence. We use FedScope to build instruments for bureaus’ competence based on the deaths of specific types of employees: bureau managers and white-collar employees who are relatively young and earn a relatively high wage. The idea is that more competent offices adopt better managerial practices, routines and processes that are more resilient to risks, such that of an unexpected loss of a key employee, and less dependent on specific individuals. This is precisely what the first stage of our IV strategy documents. Our instruments perform well in terms of their statistical properties and they allow us to estimate a causal effect of bureau competence on procurement outcomes that is an order of magnitude larger than the corresponding OLS estimate.

Results

We find that one standard deviation increase in competence reduces the number of days of delay by 23 percent, cost overruns by 29 percent and the number of renegotiations by half. This implies that if all federal bureaus were to obtain NASA’s high level of competence – corresponding to the top 10th percentile of the competence distribution – delays in contract execution would decline by 4.8 million days, and cost overrun would drop by $6.7 billions over the entire sample analyzed. We also find a consistently negative effect of greater competence on the number of renegotiations: one standard deviation increase in competence causes 0.5 (39%) and 0.8 (71%) fewer cost renegotiations and time renegotiations, respectively.

Finally, we try to understand what exactly makes a bureau ‘competent’ using the FEVS data to identify three different components: cooperation among employees, incentives and skills. Separately estimating their causal effects is unfeasible with instruments like the two described above as the validity of the exclusion restriction, which can be argued to be satisfied when measuring a broadly defined notion of bureau competence, is unlikely to hold for more specific components. However, we provide multiple pieces of evidence suggestive that cooperation is the key driver behind the positive effects of bureau competence. This finding conforms with the view that successful procurement requires appropriate coordination of a multiplicity of tasks involving different individuals. We also consider the extent to which the role of cooperation is due to the presence of capable managers, able to lead a group to effective cooperation, exploiting the heterogenous effects obtained through instruments considering the deaths of different subgroups of employees. We find that the deaths that matter the most are those of relatively young and best paid white-collar employees.

These results point at the large potential improvement in the performance of public contracts that could be achieved by investing more resources in increasing the competence of contracting authorities, even in a country with long-established procurement training and certification institutions such as the US. In Europe, recent policy initiatives see the introduction of qualification systems for public procurers as a necessary response to the generally lower procurement competence coupled with the greater discretion granted by the 2014 Procurement Directives. Our results on the role of cooperation suggest that certification programs would be also useful at the level of the procuring office, and should include features such as the organisation of the acquisition process and the prevailing management practices, as is often done for private firms.

References

[1] See also, Bucciol et al (2017) who study procurement of standardized medical devices purchased by local Italian purchasing bodies, finding that the price for the same medical devices paid by Italian public buyers differ substantially, and that the differences are explained by ‘buyers fixed effects’ capturing all specific buyers characteristics, including their competence levels.

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.

The Economics of Russian Import Substitution

FREE Network Policy Brief Image | The Economics of Russian Import Substitution

This policy brief discusses the economic mechanisms triggered by import substitution policies, associated losses and conditions that ensure positive economic effects. Numerical estimations of potential effects of Russian import substitution policies indicate a decline in GDP, decrease in output of unprotected sectors and consumers’ welfare losses. We conclude with a discussion of the role imports play in economic efficiency.

Import substitution: pro and contra

Two years after joining the WTO, in the new political reality, Russia began implementing a series of import substitution policies. Supported sectors range from agriculture and production of metal products, to computer equipment and special purpose vehicles. The potential economic effects of these policies are of substantial interest and importance both for researchers, policymakers and the general public. However, they have not yet been quantitatively assessed. This policy brief summarizes the results of a study of these effects conducted at CEFIR in 2016 (Volchkova and Turdyeva, 2016).

Import substitution can be implemented by a range of instruments aimed at creating preferential conditions for domestic producers of imported goods compared to foreign competitors. Barriers to trade are the most common and easily available policy tools. Trade barriers lead to price increase on domestic market relative to the world price of the good.

Domestic manufacturers in the protected industry enjoy higher prices on domestic market, thereby securing higher revenues at the same costs. The protected sector also is able to put into operation those capacities that were generating losses in the absence of protective measures. However, if the economy works at full employment in absence of import substitution, then in order to increase production in the protected sectors, factors should be reallocated there from the other sectors. As a result of the import-substituting policy, producers in unprotected sectors will decrease the scale of production, and some will exit the industry. That is, producers that were efficient enough before import substitution policies will be forced out by those that cannot compete at international prices. From the point of view of welfare economics, this maneuver is accompanied by a loss of economic efficiency.

Economic literature discusses several cases when import substitution can be justified, such as a presence of positive external effects from protected sectors to the economy; learning-by-doing effects in protected sectors; and an infant industry argument. All of these cases imply market failures in the absence of government intervention, leading to lower than socially optimal output of the sector in question. Then, government interventions aiming to increase output – such as import substitution – might bring additional welfare improvement to the economy. If any of these effects do take place then the gain brought by protected sectors may compensate for the loss by the unprotected. To validate any of these cases one needs to perform a thorough and independent analysis of the economy based on very detailed information.

Estimates of static and dynamic effects of import substitution

In order to illustrate the potential effects of import substitution policies in the current Russian situation, we use a static CGE model of the Russian Federation constructed at CEFIR.

Based on publicly available documents (Russian Government’s Decrees №2744-Р 29.12.2015 and № 2781-р 31.12.2015), we identify the sectors that are targeted by the import substitution policy: agriculture and four manufacturing sectors (metal production; machinery and equipment; cars; sea crafts, airplanes and spaceships).

To model the effects of import substitution, we calculate an ad valorem tariff equivalent, which ensures a 10% decline of the volume of import in each of five industries. In order to simulate proposed policy measures, we conduct six experiments: increase in import tariffs in each of five industries individually, and a comprehensive policy change with an increase in all five tariffs simultaneously.

If import substitution policy is implemented not by trade policy instruments but only through producer support measures then it will be accompanied only by changes in relative prices for producers while consumer prices will not be affected and will be determined solely by international prices. In this case, our estimates will represent an upper bound of possible consumers’ losses. Since the distortion of relative prices for producers do not depend on a particular instrument chosen to implement import substitution policy then the consequences for other sectors and for efficiency of the overall production will be the same under trade or domestic policy interventions.

Table 1 shows the results of our calculations. Columns (1) – (5) present the estimates of the effects of the import-substitution measures in the relevant sectors. Column (6) reports the results of the comprehensive policy reform.

Table 1. Consequences of the decline in imports by 10% in the protected sector (s).

  Agriculture Metals Machinery, and equipment Cars Sea crafts, airplanes and space ships Tariff change in all industries
(1) (2) (3) (4) (5) (6)
Ad valorem tariff equivalent, % 2.9 3.9 6.1 6.7 5.6
Change in
CPI, % 0.04 0.09 0.39 0.3 0.3 1.0
Protected sectors’ output, % 0.7 2.5 9.8 10.3 8.3 3.8
All other production, % -0.2 -0.4 -0.5 -0.2 -0.5 -2.3
GDP, % -0.002 -0.011 -0.023 -0.005 -0.018 -0.049
Welfare, % -0.015 -0.020 -0.074 -0.041 -0.080 -0.215

Source: Authors’ own estimation.

Our results illustrate the anticipated effect of import substitution policy in economy with full employment. The protected industries increase their output at the expense of other industries. An increase in economic inefficiency is reflected by a fall in GDP.

In order to capture dynamic effects of the proposed import substitution policy, we simulate an import tariff increase in a Solow-type growth model calibrated for the Russian economy. The proposed policies result in a deeper economic decline in 2016 than in the baseline scenario (-0.76% in the baseline scenario and -0.79% in the import substitution scenario), followed by somewhat faster growth in subsequent years due to a lower base. The aftermath of the import substitution policy is still visible in 2020: GDP growth in 2020 relative to 2015 in the baseline equals 2.4365%, while the import restriction in all targeted industries will reduce economic growth in a five-year term by 0.007 percentage points, to 2.4295%. The numbers correspond to the expected reduction in economic efficiency as a result of the import substitution measures.

While numbers in terms of GDP do not look particularly large, the annual losses in GDP in nominal figures correspond to $650 million in value added, which is roughly equivalent to 30,000 jobs lost in Russia due to import substitution. Besides, effect on growth adds to 5,000 more jobs lost over 5 years.

As we mentioned above these losses might potentially be justified by the positive external effect from an increased output of the protected industries on the rest of economy. To ensure this, the selection of industries for protection should have been done through independent expertise based on a thorough analysis of sectoral interaction over time. However, the way the economic policy is formulated in modern Russia, with heavy influence of lobbying groups and very little contribution from independent economic research, we can hardly expect that the industries targeted for import substitution satisfy the objective criteria of positive external effects.

Imports as drivers of competitiveness

Classical trade theory shows that imports are a major cause of gains from trade integration. Modern trade theory complements the classical mechanism by selection effects among heterogeneous firms when only the most productive firms are able to sell in foreign markets (Melitz , 2003).

Keeping in mind that a substantial part of manufacturing trade flows consists of intermediate products that are used as inputs in subsequent production (in the case of Russia, the share of intermediates in imports is more than 60%) then the above reasoning implies that the competitiveness of domestic production is determined, among other things, by the availability of cheap imports.

Numerous empirical studies for many countries confirmed that industries with a higher share of imported intermediate goods are more productive than industries with a lower share (Feenstra, Markusen, and Zeile, 1992). Recent studies, analyzing data at the level of individual firms (Bernard at al., 2012; Castro, Fernandes, and Farolec, 2015; Feng, Li, and Swenson, 2016), confirm that the effect takes place at firm level: firms importing more intermediate goods have higher productivity than firms importing less, other things being equal, which suggests that imports of intermediate goods is an important source for the growth of firms’ competitiveness.

A study conducted for Russian firms showed that labor productivity in Russian companies which import intermediate goods is 20% higher compared to similar firms not importing intermediates (Volchkova, 2016).

On this basis, we have every reason to believe that import is one of the sources of economic competitiveness that enhances effectiveness of the economy. Thus import substitution policies in the absence of objective information and a profound selection procedure for protected sectors, are harmful to the economy. In an open economy, the effect of the firms’ selection and the availability of cheap imports ensure growth of sectoral productivity, but productivity declines in “protected” sectors. That is, while our estimates above assess the direct negative impact on Russian economic output and welfare from inefficient reallocation of factors of production, the implementation of import substitution policies also puts the Russian economy in a disadvantaged position relative to more liberal economies on the international markets due to forgone competitiveness. This creates additional obstacles for Russia on its way to export diversification and sustainable growth.

References

  • Feenstra, Robert C, James R Markusen, and William Zeile. 1992. “Accounting for Growth with New Inputs: Theory and Evidence.” The American Economic Review 82 (2). American Economic Association: 415–21. http://www.jstor.org/stable/2117437.
  • Feng, Ling, Zhiyuan Li, and Deborah L. Swenson. 2016. “The Connection between Imported Intermediate Inputs and Exports: Evidence from Chinese Firms.” Journal of International Economics 101: 86–101. doi:10.1016/j.jinteco.2016.03.004.
  • Melitz, Marc J. 2003. “The Impact of Trade on Intra-Industry Reallocations and Aggregate Industry Productivity.” Econometrica 71 (6). Blackwell Publishing Ltd: 1695–1725. doi:10.1111/1468-0262.004
  • Pierola Castro, Martha D., Ana Margarida Fernandes, and Thomas Farolec. 2015. “The Role of Imports for Exporter Performance in Peru.”
  • Volchkova, Natalya A. 2016. “Prospects of the export diversification:” Dutch Disease “or the failures of economic policy?” in “Seven lean years: the Russian economy on the verge of structural changes: the round table materials” / ed. Rogov. -Moscow: Foundation “Liberal Mission” (in Russian)
  • Volchkova, Natalya A., and Natalia A. Turdyeva 2016, “Microeconomics of Russian import substitution”, Journal of New Economic Association, forthcoming (in Russian)

Equity and Efficiency in the Latvian Tax-Benefit System

20141103 Equity and Efficiency in the Latvian Tax-Benefit System Image 01

There is a trade-off between two major objectives of a tax-benefit system: equity and efficiency. The tax-benefit systems that redistribute a lot of income tend to generate disincentives to work. The tax-benefit systems that create good incentives to work and earn, are less effective in mitigating poverty, social exclusion and deprivation. In this brief we argue that, when contrasted to other EU countries, the Latvian tax-benefit system is less effective in achieving either of the objectives.

Equity-Efficiency Trade-Off

There is a fundamental trade-off between the two principal objectives of a tax-benefit system – income redistribution and efficiency. On the one hand, income redistribution is desirable as it helps to mitigate socially undesirable market outcomes such as poverty and deprivation. On the other hand, more income redistribution is often associated with higher distortions to labour supply and work effort.

There is no universal prescription as to how much a government should redistribute. The answer to this question depends, among other factors, on the relative value that society (government) assigns to the welfare of different population groups, and on the individuals’ labour supply elasticity.

However, a given degree of income redistribution can be achieved at a different cost of efficiency. In this brief, we analyse the degree of income redistribution generated by the tax-benefit system and work incentives in Latvia in the context of other EU countries. In our analysis, we use the European microsimulation tax-benefit model EUROMOD (Sutherland and Figari, 2013) version G2.0, EU-SILC data, and the analysis framework developed by Jara and Tumino (2013).

Income Redistribution in the EU

EU countries differ substantially in terms of inequality of original income and in terms of the degree of redistribution generated by the tax-benefit system (see Figure 1, data on 2007 and 2013). The Gini coefficient of equivalised household original income (which consists of income from employment and self-employment, property income, private pensions, private transfers and other relatively minor components) ranges from around 0.4 (Cyprus, Netherlands) to almost 0.55 (Romania in 2007, Ireland in 2013).

Inequality of original income in Latvia in 2007 was at the EU average level (Gini coefficient of 0.47), but the degree of income redistribution generated by direct taxes, benefits and pensions was the lowest in the EU. As a result, the inequality of disposable income in Latvia in 2007 was the highest in the EU (Gini coefficient of 0.37). Part of the answer as to why the degree of income redistribution in Latvia is so low is a relatively small contribution of pensions to redistribution – it is almost half of that observed in the EU on average, despite the fact that the share of public pension recipients in the total Latvian population in 2007 was above the EU average. Another important factor was the very minor role of means-tested benefits: in the EU on average, means-tested benefits generate a reduction in Gini coefficient by about 0.02, while in Latvia the corresponding figure is just one tenth of this.

Figure 1. Gini coefficients of original equivalised household income and degree of redistribution generated by tax-benefit systems in the EU in 2007 and 2013

fig1afig1b

Source: EUROMOD statistics, authors’ calculations.

In the course of the crisis and the following recovery, the degree of redistribution in Latvia increased (see lower panel of Figure 1). An important factor behind the increase was growing number of pension recipients and an increase in the average size of pensions (both in absolute terms and relative to employment income). The increase in the number of pension recipients was not a result of changes in eligibility criteria, but was due to population ageing and the fact that more people applied for other types of pensions. The growth in the average size of pension was due to generous indexation of pensions in 2008 and compositional changes, as pensions of new pensioners until 2012 were larger than the average pension. Another reason for a growing degree of redistribution was an increase in the size and the number of recipients of means-tested benefits (mainly Guaranteed Minimum Income (GMI) benefit). This was a result of reforms in the provision of the means-tested benefits and of falling incomes from employment, which made more people eligible for the social assistance programmes. Nevertheless, despite the increase in recent years, the degree of income redistribution in Latvia remains one of the lowest in the EU.

Work Incentives

The existence of a trade-off between income redistribution and better work incentives suggests that tax-benefit systems that ensure less income redistribution are likely to generate better work incentives. Jara and Tumino (2013) have demonstrated the existence of this trade-off in the EU countries in 2007-2010 by identifying a negative and statistically significant correlation between Gini coefficients and Marginal Effective Tax Rates (METR). The METR is a measure that is commonly used to quantify work incentives at the intensive margin. It shows what proportion of a small increase in earnings (which results from e.g. an increase in the supplied hours of work) is lost as a result of extra tax payments or foregone benefits that the person is no longer eligible for after the increase in earnings. The negative correlation identified in Jara and Tumino (2013) suggests that countries with less income redistribution (i.e., higher Gini coefficients) tend to have better work incentives (lower METRs).

In Latvia, the mean METR in 2013 was 32.2%, only slightly below the EU average (34.5%), and much higher than the average in Estonia (22.8%) and Lithuania (27.4%), despite a lower degree of income redistribution (EUROMOD statistics). Another feature of the Latvian tax-benefit system is that it is characterised by especially high METRs for poor individuals. Thus, in 2013, 94% of individuals who faced METRs in excess of 50% belonged to the two bottom deciles of distribution of equivalised disposable income. This is different from many other European countries, where distribution of high METRs is either more even across deciles or rising towards the top end of income distribution (Jara and Tumino (2013), data for 2007).

The main reason for high METRs faced by the poorest population groups in Latvia is the design of means-tested benefits (GMI and housing benefits), which generates 100% METRs for the recipients of these benefits. Namely, for each additional euro earned, the amount of benefit is reduced by one euro, which leaves the net income unchanged. This adversely affects employment incentives for the poorest individuals and increases the poverty risk.

Figure 2 illustrates mean METRs by deciles of equivalised disposable income in Latvia and shows the contribution of taxes, benefits and social insurance contributions (SICs) to the mean METRs. It clearly demonstrates that high METRs in the bottom deciles result mainly from the contribution of benefits, which disappears in the fourth decile. The contribution of SICs is slightly smaller in the bottom decile, which is due to the fact that the proportion of employed individuals is smaller in the bottom decile. For the same reason, and also because of basic tax allowances, the contribution of direct taxes is smaller in the bottom deciles, but then the contribution of taxes levels off, reflecting the Latvian flat tax rate.

Figure 2. The contribution of direct taxes, benefits and social insurance contributions (SIC) to METRs in Latvia by deciles of equivalised disposable income in 2013

fig2

Source: authors’ calculations using EUROMOD-LV

In their study on the incentive structure created by the tax and benefit system in Latvia, the World Bank (2013) pointed out the problem of bad work incentives generated by Latvian means-tested benefits. Our results, which are based on a population-representative database of incomes, also identify means-tested benefits as the major contributor to high METRs in the lowest deciles of the income distribution. Another concern expressed by the World Bank (2013) was that the problem of informal employment (either in the form of undeclared wages or work without a contract) can be exacerbated by high participation tax rates and METRs.

Conclusion

The Latvian tax-benefit system is characterized both by a relatively low degree of income redistribution and relatively weak work incentives, as measured by METRs. Recipients of means-tested benefits (GMI and housing benefits) are faced with 100% METRs, as benefits are withdrawn at the same rate as household income rises. This creates disincentives to increase labour supply for low-paid/low-skilled individuals, and hence creates a risk of poverty traps. Evidence from the literature suggests that the labour supply of low paid workers is particularly sensitive to the incentives generated by the tax-benefit system, hence reforms that would bring down METRs in the bottom deciles could yield positive results in terms of employment of low paid/low skilled workers.

A potential reform is to introduce either a gradual phasing out of the means-tested benefits, or to exclude a certain amount of employment income from the income test for the means-tested benefits. Such reforms would be targeted at the bottom end of the income distribution, help combat poverty, improve the incentive structure of the Latvian tax-benefit system, and positively affect the labour supply of low-skilled/low-paid workers.

References

  • EUROMOD statistics on Distribution and Decomposition of Disposable Income, accessed at http://www.iser.essex.ac.uk/euromod/statistics/ using EUROMOD version no. G2.0, retrieved on October 14, 2014
  • Jara, H. Xavier & Alberto Tumino (2013). “Tax-benefit systems, income distribution and work incentives in the European Union,” International Journal of Microsimulation, Interational Microsimulation Association, vol. 1(6), pages 27-62.
  • Sutherland, Holly & Francesco Figari (2013). “EUROMOD: the European Union tax-benefit microsimulation model,” International Journal of Microsimulation, Interational Microsimulation Association, vol. 1(6), pages 4-26.
  • World Bank (2013). “Latvia: “Who is Unemployed, Inactive or Needy? Assessing Post-Crisis Policy Options”. Analysis of the Incentive Structure Created by the Tax and Benefit System. Financial Incentives of the Tax and Benefit System in Latvia,” European Social Fund Activity “Complex support measures” No. 1DP//1.4.1.1.1./09/IPIA/NVA/001

More Commitment is Needed to Improve Efficiency in EU Fiscal Spending

20140526 More Commitment is Needed Image 01

The member states of the European Union coordinate on many policy areas. The joint implementation of public good type projects, however, has stalled. Centralized fiscal spending in the European Union remains small and there exists an overwhelming perception that the available funds are inefficiently allocated. Too little commitment, frequent rounds of renegotiation and unanimous decision rules can explain this pattern.

Currently, the EU allocates only about 0.4% of its aggregate GDP to centralized public goods spending (European Commission (2014)). This is surprising given the fiscal federalism literature’s classic predictions of efficiency gains from coordinated public goods provision (see for example Oates (1972) and the more recent contributions of Lockwood (2002) and Besley and Coate (2003) for a discussion). Yet, recent proposals to expand centralized fiscal spending in the EU have been met with skepticism if not outright rejection. The most frequently cited argument claims existing funds are already being allocated inefficiently and any expansion of centralized spending would turn the EU into a mere transfer union (Dellmuth and Stoffel (2012) provide a review).

Centralized fiscal spending in the EU is provided through the “Structural and Cohesion Funds”, which are part of the EU’s so called “Regional Policy” and were initially instituted in 1957 by the Treaty of Rome for the union to “develop and pursue its actions leading to the strengthening of its economic, social and territorial cohesion” (TFEU (1957), Article 174). At that point, the six founding members agreed it was important to “strengthen the unity of their economies and to ensure their harmonious development by reducing the difference existing between the various regions and the backwardness of the less favoured regions” (stated in the preamble of the same treaty). A reform in 1988 has further emphasized this goal by explicitly naming cohesion and convergence as the main objectives of regional policy in the EU.

Today, actual fiscal spending in the EU is far from achieving this goal. The initially agreed upon contribution schemes are often reduced by nation specific discounts and special provisions as the most recent budget negotiations for the 2014-2020 spending cycle showed yet again. Moreover, the perception is that available funds are being spent inefficiently (see for example Sala-i-Martin (1996) and Boldrin and Canova (2001)).

Figure 1. 2011 EU Structural and Cohesion Funds
Figure1

Figure 1 shows the national contributions to the structural funds as well as EU spending from that same budget in each member nation in per capita terms (data published by the European Commission). If fiscal spending was efficiently structured to achieve the above mentioned goal of convergence, one would observe a strong negative correlation between contributions and spending. The data shows, however, that while some redistribution is clearly implemented, rich nations still receive large amounts of the funds meant to alleviate inequality in the union (see Swidlicki et al. (2012) for a detailed analysis of this pattern for the contributions to and spending of structural funds in the UK).

What prevents a group of sovereign nations from effectively conducting the basic fiscal task of raising and allocating a budget to achieve an agreed upon common goal? In a recent paper, we theoretically examine the structure of the bargaining and allocation process employed by the EU (Simon and Valasek (2013)). Our analysis suggests that efficiency both in terms of raising contributions and allocating fiscal spending cannot be expected under the current institutional setting. While poorly performing local governments, low human capital in recipient regions, and corruption might all play a role in creating inefficiency (see for example Pisani-Ferry et al. (2011) for a discussion of the Greek case), improving upon those will only solve part of the problem.

We demonstrate that the inefficiency of EU spending in promoting the goal of convergence can be explained by the underlying institutional structure of the EU, where sovereign nations bargain over outcomes in the shadow of veto. Specifically, we model the outcome of the frequent negotiation rounds employed by the EU as the so-called Nash bargaining solution, explicitly taking into account the possibility for each member nation to veto and to withdraw its contribution (as the UK threatened in the most recent budget negotiations). It turns out that it is precisely the combination of voluntary participation, unanimity decision rule and the lack of a binding commitment to contribute to the joint budget that generally prevents efficient fiscal spending. In such a supranational setting, the distribution of relative bargaining power arises endogenously from countries’ contributions and their preferences over different joint projects. This creates a link between contributions to and allocation of the budget that is absent in federations, where contributions to the federal budget cannot simply be withdrawn and spending vetoed. Since the EU members lack such commitment, this link will necessarily lead to an inefficient outcome.

Why Does the EU Have These Institutions?

If the currently employed bargaining process cannot lead to an efficient outcome, why then did the EU member nations not institute a different allocation process right from the start? Of course, agreeing on a binding contract without the possibility for individual veto is politically difficult. More complicated bargaining processes may also be much more costly in terms of administration than is relying on informal negotiations and mutual agreement. Our analysis suggests another alternative: If the potential members of the union are homogeneous with respect to their income and the social usefulness (or spillovers) of the projects they propose to be implemented in the union, then Nash bargaining will actually lead to the budget being raised and allocated efficiently. The intuition behind this result is simple: If all countries have the same endowment, their opportunity costs of contributing to the joint budget are the same. Moreover, symmetric spillovers do not give one country a higher incentive to participate in the union than the other. Consequently, all countries have the exact same bargaining position. Thus, equilibrium in the bargaining game must produce equal surpluses for all nations. At the same time, with incomes and spillovers perfectly symmetric, the efficient allocation also produces the same surplus for each nation, so that it coincides with the Nash bargaining solution. It is important to notice, though, that symmetric income and spillovers do not imply homogeneous preferences: Each nation can still prefer its “own” project to the others. Instead, symmetry leads to a perfectly uniform distribution of bargaining power in equilibrium. Moreover, our analysis shows that efficiency is achieved if the union budget is small relative to domestic consumption and member countries have similar incomes.

This resonates well with the history of the European Union. In fact, the disparities between the founding members were not large, so that the current bargaining institutions could reasonably have been expected to yield efficiency. Only the inclusion of Greece, Ireland, Portugal and Spain created a more economically diverse community (European Movement (2010)). Our model shows that as the asymmetries between member countries or the importance of the union relative to domestic consumption grow, Nash bargaining leads to increasingly inefficient outcomes. Figure 2 shows this effect for a union of two nations. Keeping aggregate income constant and assuming symmetric spillovers between the two nations’ preferred projects, we vary asymmetry in their domestic incomes. The graphs show the Nash bargaining outcome (marked with superscript NB) compared to the generally efficient solution. As country A’s income increases, so does its outside option (i.e. all else equal, the higher the income, the less a country would lose if the joint projects were not implemented). Thus, country A’s bargaining position relative to country B increases in equilibrium, leading to an inefficient outcome. The allocation of funds to the union projects (upper right panel) depicts this channel very clearly: While the efficient allocation is independent from the distribution of national incomes, the Nash bargaining solution reflects the changing distribution of power. Nation A is able to tilt the allocation more toward its own preferred project the higher its income. Moreover, it is able to negotiate a “discount” for its contribution. While its contribution (labeled xa) does increase with its income (labeled ya), country A still pays less than would be budgetary efficient given its higher income (upper left panel). As a result of the inefficiencies introduced by the bargaining process, aggregate welfare in the union declines as asymmetry grows. Again, it is worth noting, that the loss in aggregate welfare is relatively small when asymmetry is small, but grows more than proportionally as the countries become more and more unequal (lower right panel).

Figure 2. The Effect of a Union of Two Countries

Figure2

This has troubling implications for the EU, as income asymmetry has increased with every subsequent round of expansion while the bargaining procedure for the fiscal funds has essentially stayed the same. It is not surprising then that a larger and more asymmetric EU has resulted in supranational spending that is increasingly inefficient.

The EU as a “Transfer Union”

We go on to show that the level of redistribution inherent in the Nash bargaining solution depends crucially on the overall size of the budget the union intends to raise. Increasing the EU’s budget for centralized fiscal spending would indeed lead to more “transfers” to low income members (in terms of net contributions), bringing the EU closer to the original goal of convergence. In fact, the EU could pick a budget such that inequality in terms of total welfare between member nations is completely alleviated. Such an outcome necessarily implies that the net gain from being part of the union for high-income nations is lower (albeit still positive) than for low-income members. However, this in turn has consequences for the endogenous distribution of bargaining power: Richer nations would be able to assert even more power and push even further for their own preferred projects, rendering the allocation of funds across projects less efficient. This trade-off between equality and efficiency implies that complete convergence is not necessarily socially desirable.

Arguably, this trade-off might be more important for a transition period than in the long run. If fiscal spending does not only lead to convergence in instantaneous welfare, but also has a positive effect on long-run performance and GDP growth, income asymmetries across countries will decrease even if the allocation of spending across projects is not entirely efficient. Less inequality in turn will lead to a more efficient allocation process in the future and endogenously reduce the level of necessary transfers. However, whether the growth effect of the EU’s structural funds is indeed positive remains a much-debated empirical question (see for example Becker et al. (2012)).

Institutions Fit for a Diverse Union

As the EU has expanded from the original six nations to the current 27, there has been a concurrent evolution of decision-making rules. A qualified majority rule is now used in many areas of competency. We show that the allocation of fiscal spending could also benefit from the implementation of a majority rule. Efficiency would be improved as long as the low-income member nations endogenously select into the majority coalition while their contributions to the budget remain relatively low. In connection to this, the EU might benefit from enforcing rules specifying contributions as a function of national income (such rules exist, but are easily and often circumvented), forcing wealthier member nations to pay more. An exogenous tax rule without the possibility to negotiate a discount, for example, may indeed improve overall efficiency.

It is important to note, however, that a unanimous approval of such a change is unlikely. The institutional mechanism of Nash bargaining is an “absorbing state” after the constitution stage, in the sense that not all member nations can be made better off by switching to an alternative institution. Therefore, the discussion of alternative institutions and decision making processes is particularly relevant when considering new mechanisms that increase fiscal spending at the union level, such as the proposed EU growth pact. If the same bargaining process remains to be employed even for new initiatives, even though a majority rule is preferable and implementable relative to the status quo, the opportunity for the EU to achieve efficiency in its fiscal spending is lost.

References

  • Becker, S. O., Egger, P and von Ehrlich, M (2012) “Too Much of a Good Thing? On the Growth Effects of the EU’s Regional Policy”, European Economic Review 56: 648 – 668
  • Besley, T. and Coate, S. (2003) “Centralized versus Decentralized Provision of Local Public Goods: A Political Economy Approach” Journal of Public Economics 87: 2611 – 2637
  • Boldrin, M and Canova, F (2001) ”Europé’s Regions – Income DIsparities and Regional Policies” Economic Policy 32: 207 – 253
  • Delmuth, L.M. and Stoffel, M.F. (2012) “Distributive Politics and Intergovernmental Transfers: The Local Allocation of European Structural Funds” European Union Politics 13: 413 – 433
  • European Commission (2014) Data available at http://ec.europa.eu/regional_policy/what/future/index_en.cfm
  • European Movement (2010) “The EU’s Structural and Cohesion Funds” Expert Briefing, available at http://www.euromove.org.uk/index.php?id=13933
  • Lockwood, B. (2002) “Distributive Politics and the Cost of Centralization” The Review of Economic Studies 69: 313 – 337
  • Oates, W.E. (1972) “Fiscal Federalism” Harcourt-Brace, New York
  • Pisani-Ferry, J., Marzinotto, B. and Wolff, G. B. (2011) “How European Funds can Help Greece Grow” Financial Times, 28 July 2011.
  • Sala-i-Martin, X (1996) ”Regional Cohesion: Evidence and Theories of Regional Growth and Convergence”, European Economic Review 40: 1325 – 1352
  • Simon, J. and Valasek, J.M. (2013) “Centralized Fiscal Spending by Supranational Unions” CESifo Working Paper No. 4321.
  • Swidlicki, P., Ruparel, R., Persson, M. and Howarth, C. (2012) “Off Target: The Case for Bringing Regional Policy Back Home” Open Europe, London.
  • TFEU (1957) “Treaty Establishing the European Community (Consolidated Version)”, Rome Treaty, 25 March 1957, available at: http://www.refworld.org/docid/3ae6b39c0.html