Tag: survey experiment

Saving Lives During War: How to Make Evacuation Messages More Effective

When war threatens civilian populations, effective evacuation messages can mean the difference between life and death. Drawing on a controlled survey experiment conducted with 2,006 Ukrainians during the 2022 Russian invasion, we find that providing clear evacuation plans dramatically improves a message’s perceived effectiveness, while sophisticated message framing makes little difference. Our results indicate that people facing war are not naive about dangers—they need practical information on how to escape, not persuasion about why they should leave. This is especially true for those who do not have the means to evacuate autonomously. These findings offer guidance for authorities and humanitarian organizations: focus on providing concrete evacuation logistics rather than crafting perfect messaging.

The Life-or-Death Challenge of Wartime Evacuations

Each year, tens of thousands of civilians die in armed conflicts worldwide. Many of these deaths could be prevented through timely evacuations from danger zones. Yet despite imminent threats, many civilians hesitate to leave their homes. Understanding how to increase the effectiveness of evacuation messages has become a critical challenge for saving lives.

In July 2022, five months into Russia’s full-scale invasion of Ukraine, we conducted the first experimental study testing the effectiveness of evacuation messages during an active war. Working with 2,006 Ukrainians from regions directly affected by combat, focusing on areas that experienced occupation, shelling, and ground fighting, we tested two fundamental approaches to improving evacuation messaging.

Figure 1. Surveyed regions with the relative share of respondents.

Source: Martinez et al. (2025)

 

Testing What Works: Plans vs. Persuasion

Our experiment compared two strategies:

Strategy 1: Persuasive Nudges

We tested different message framings inspired by behavioral economics, emphasizing either the gains from evacuating (saving lives) or losses from staying (risking death), and highlighting either deteriorating living conditions or benefits to military effectiveness. These techniques have proven effective in other contexts, from increasing vaccination rates to promoting energy conservation.

Strategy 2: Practical Evacuation Plans

We tested whether adding concrete evacuation instructions improved message effectiveness. Half of our messages included specific details: free buses available at designated locations, phone numbers for reserving seats, and clear departure times.

Participants evaluated how effective each message would be in convincing residents of their city to evacuate, using a scale from 0 (completely ineffective) to 10 (very effective).

Key Finding: People Need Logistics, Not Persuasion

Our results deliver a clear message for policymakers and humanitarian organizations:

Providing evacuation plans works

Messages that included concrete evacuation plans were rated approximately 5% more effective than those without. This improvement is both statistically significant and practically meaningful—in Donetsk oblast alone, where 350,000 civilians remained in Ukrainian-controlled areas during our study, a 5% increase in evacuation rates could mean 17,500 additional lives moved to safety.

Message framing makes little difference

Surprisingly, none of our carefully crafted persuasive messages performed better than a simple, standard evacuation notice. Whether we emphasized gains or losses, living conditions or military benefits, the framing made no significant difference to perceived effectiveness.

Different groups respond differently

The evacuation plan’s effect was strongest among those who had not previously evacuated, which is exactly the population authorities most need to reach. This particular segment of the population is characterized by lower financial means and, therefore, a lower likelihood of owning a car, which turned out to be a crucial factor when it comes to timely evacuations. Finally, women responded more strongly to evacuation plans than men.

Figure 2. Experimental Treatment Effects.

Source: Martinez et al. (2025)

Understanding the Psychology of War Zone Evacuations

Why do practical plans matter more than persuasive messaging? Our findings suggest that people experiencing war are far from naive about the dangers they face. Among our respondents:

  • 82% perceived real risk of death or injury from missile strikes
  • 40% had already evacuated at least once
  • 50% of those who stayed had considered evacuating

Which seems to suggest that the barrier is not understanding risk—it is knowing how to act on it. Our correlational analysis supports this interpretation: those offered transportation during the early invasion were 12-18 percentage points more likely to evacuate, while simply receiving evacuation information showed weaker effects.

Policy Recommendations

Based on our findings, we recommend that authorities and humanitarian organizations prioritize the following:

  1. Focus resources on logistics, not messaging

Instead of investing in sophisticated communication strategies, dedicate resources to organizing concrete evacuation support: transportation, clear meeting points, advance booking systems, and designated evacuation routes.

  1. Provide specific, actionable information

Every evacuation message should include: exact locations for transportation pickup, specific departure times, contact information for coordination, clear instructions for what evacuees can bring, and confirmation of free transportation.

  1. Target messages strategically

Prioritize delivering evacuation plans to those who have not previously evacuated, women who show higher responsiveness to organized evacuations, and areas where residents lack personal evacuation plans, that is most likely in the lower socio-economic status neighborhoods.

  1. Act on timing

Our research captured a relatively stable period in the conflict. During acute escalations, rapid deployment of evacuation logistics likely matters even more than message optimization.

Implications Beyond Ukraine

While our study focused on Ukraine, approximately 50 active conflicts worldwide threaten civilian populations. Our findings suggest a fundamental shift in how international organizations approach emergency evacuations: from persuasion to facilitation.

The lesson is sobering, but actionable. People facing mortal danger do not need convincing that threats are real. They need practical help escaping them. This insight should reshape how humanitarian organizations allocate resources, how militaries plan for civilian protection, and how governments prepare for crisis scenarios.

Conclusion

Effective evacuation during war is not about finding the perfect words; it is about providing clear paths to safety. Our research suggests that even simple additions of logistical information can meaningfully improve an evacuation message’s perceived effectiveness. In contexts where every percentage point of improved evacuation rates translates to lives saved, focusing on practical evacuation support over persuasive messaging represents both an evidence-based and morally imperative policy choice. For the millions of civilians who may face evacuation decisions in current and future conflicts, the message from our research is clear: authorities must move beyond telling people to leave and start showing them exactly how.

References

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.

Estimating Tax Evasion in Europe: Direct vs. Indirect Survey Methods

Stack of €50 euro banknotes in partial shadow, symbolizing hidden cash and tax evasion survey methods.

How can societies accurately gauge the share of the workforce engaged in the shadow economy when direct questions inspire selective silence or evasion? This policy brief presents findings from a new cross-country survey experiment combining direct questions and an indirect “list experiment” method, conducted in Latvia, Italy, and Denmark. Results show that, contrary to expectations, indirect methods did not yield higher estimates of undeclared work compared to direct questions. The research reveals that in environments with high tax morale and a substantial shadow economy, both direct and indirect measurements can be biased. Sharing information about prevailing tax norms with respondents can improve survey consistency, informing future tax evasion measurement and anti-evasion policymaking.

Social Desirability Bias in Tax Evasion Surveys

Surveys on tax evasion often provide respondents with multiple response categories beyond simple “yes” or “no.” For example, the survey for Latvia (Kantar, 2024) found that 3% openly acknowledged undeclared income, but refusal (2%) and “hard to say” responses (4%) illustrate additional uncertainty and possible underreporting due to social desirability bias when respondents consciously avoid disclosing disapproved or illegal acts to maintain a positive self-image or avoid perceived censure. This bias is potentially serious in tax compliance research, where both tax morale and fear of consequences can shape reporting behavior.

Indirect questioning techniques, such as list experiments, aim to reduce social desirability bias by allowing individuals to conceal answers within a broader set of innocuous items (Blair et al., 2020). In a typical list experiment, respondents are randomly assigned to receive either a list of non-sensitive items or the same list with an additional sensitive item; by comparing the mean number of items endorsed across groups, researchers estimate the prevalence of the sensitive behavior without requiring explicit disclosure (Blair & Imai, 2012; Glynn, 2013).

Recent empirical work employing list experimental designs has significantly advanced the understanding of tax evasion dynamics across diverse fiscal and cultural contexts. Fergusson, Molina, and Riaño (2019) analyzed VAT evasion among Colombian consumers and found minimal social desirability bias, with list experiments and direct self-reports yielding similar evasion rates (~20%). They attributed this to the normalization of evasion in high-informality regions, where descriptive norms (perceived prevalence of evasion) outweighed injunctive norms, reducing stigma.

This contrasts with Genest-Grégoire et al. (2022), who detected significant bias in Canadian income tax self-reports: list experiments revealed 13.5% income tax evasion (compared to 5.6% in direct questions) and 28.5% consumption tax evasion (compared to 26.2% in direct questions). The study identified stronger stigma around income tax evasion, particularly due to institutional withholding mechanisms that make income tax evasion more difficult compared to consumption taxes. Authors posit that divergent motivational mechanisms underlie these evasion types: income tax noncompliance triggers stronger moral condemnation due to its association with deliberate fraud, while consumption tax evasion is often rationalized as a “victimless” violation of complex regulations.

Hence, high tax morale, while generally associated with greater compliance, also leads individuals to conceal or misrepresent socially undesirable actions more rigorously, which amplifies social desirability bias in survey responses. This effect is particularly pronounced in environments where tax evasion is strongly stigmatized, as respondents may feel increased pressure to align their self-reports with prevailing moral standards, even if those reports do not reflect their true behavior. Conversely, in contexts where evasion is normalized or perceived as widespread, the stigma associated with noncompliance decreases, potentially making individuals less reluctant to report such behavior.  Nevertheless, both direct and indirect measurement techniques may still fail to accurately capture the true prevalence. This is because reduced stigma alone does not eliminate other sources of bias, including cognitive complexity, survey design imperfections, and strategic respondent behavior, such as misinterpreting instructions or using responses to send political or social signals beyond truthful self-disclosure.

Recognizing these persistent methodological challenges, this policy brief presents evidence from a study employing both direct and indirect questions on tax evasion across three European countries with varying levels of tax morale and shadow economy prevalence. By analyzing how social contexts influence reporting behaviors, the brief provides insights into the effectiveness and limitations of these survey approaches in different normative environments.

Approach

The research used a nationally representative sample of 6,915 respondents from Latvia, Italy, and Denmark, utilizing Norstat online panels in the respective countries. It was administered as an online Computer Assisted Web Interview (CAWI) in May 2024. Respondents in the study were randomly assigned to one of two list experiment conditions: half received a 5-item list including the sensitive tax evasion item, while the other half received a 4-item list without the sensitive item (see Figure 1). Importantly, all respondents—regardless of their list group assignment—were asked a direct question about undeclared income at the end of the survey. This design allows comparison between indirect and direct measures within the same individuals, clarifying reporting patterns and social desirability effects.

Figure 1. Indirect question for the control group of the list experimental study

Notes: The 5-item list for the treatment group included additional activity “Received all or part of the income without paying taxes (received money “off the books”)” and asked to indicate max 5 items. The activities were listed in random order for each respondent.

All participants also completed a placebo list experiment, in which both lists – i.e., containing 4 or 5 items – consisted entirely of non-sensitive behaviors (see Figure 2). Correspondingly, everyone was also asked a direct question about the non-sensitive behavior (“Bought a house or apartment (including on credit)”), thereby mimicking the structure of the tax evasion list experiment. This design allowed controlling for possible cognitive errors in filling out a complicated survey task, such as a list survey question, that are unrelated to social desirability bias.

In addition, half of all respondents were primed to information with actual data on how many citizens in their country consider tax evasion unacceptable, sourced from a recent representative survey that was carried out in January 2024. In this pre-survey, just 39% (i.e., minority) found tax evasion wholly unacceptable in Latvia; 59% in Italy, and 53% in Denmark (i.e., majority). The goal of this priming was to test whether informing respondents about local norms affected reporting patterns.

Figure 2. Placebo list of the study

Notes: The 5-item list for the treatment group included additional activity “Bought a house or apartment (including on credit)” and asked to indicate max 5 items. The activities were listed in random order for each respondent.

Key Findings

Results show that indirect list experiment estimates of undeclared work (4.1% overall) did not significantly differ from direct question estimates (7.2%). Hence, respondents did not find the topic sensitive enough to avoid honest answers in either format.

Priming respondents with information about the unacceptability of tax evasion in their country had no statistically significant effect on the direct measure of admitted undeclared income, nor on aggregate estimates from the indirect list experiment, indicating that willingness to disclose undeclared work remained unchanged regardless of norm priming.

Figure 3. Estimates of tax evasion from the list experiment and direct question

Source: Author’s estimate from the survey results.

However, country-level analysis revealed an anomaly in Italy: the list experiment produced an implausible negative estimate, driven by some respondents who marked zero items in the treatment list but later admitted to undeclared work in direct questioning. While this inconsistent response pattern was most prominent in Italy, the country with the highest tax morale (as based on pre-survey), and the largest shadow economy across the three countries (Medina and Schneider, 2018), it has also been recorded in the other two countries. Specifically, the pattern was observed among 11% of respondents who admitted to tax evasion in the direct question in Italy, compared to 5–7% in Latvia and Denmark.

Considering the complexity and unusual formulation of the question for the list experiment, one might attribute this pattern to a respondent’s confusion or cognitive error. However, this explanation is unlikely because of the responses to the placebo list experiment, where all list items and a direct question are non-sensitive. There, the specific response pattern – respondents reporting zero items on the list question while simultaneously admitting to the direct question – is observed substantially less frequently, indicating a low baseline error rate for misunderstanding or inconsistent reporting on non-sensitive items.

The comparison between the sensitive and placebo list experiment results indicates that the anomalous pattern observed in the tax evasion list experiment is unlikely to be due to confusion with the survey format, but rather represents a deliberate, context-specific form of strategic misreporting. One possible reason for this pattern might be that some Italians who admit to tax evasion in the direct question may believe that inflating shadow economy estimates will spur stronger policy reactions or public debate. In this way, their answers to the survey may represent strategic “signal sending.”

Priming respondents with accurate information about societal norms regarding the unacceptability of tax evasion – an approach referred to as vignette priming – consistently reduced the occurrence of this contradictory response pattern. Fewer respondents reported zero items in the list experiment while admitting to evasion in direct questioning, a change observed universally across the three countries.

Two main interpretations of the effects of such vignette priming can be suggested. The first interpretation, related to the strategic motive discussed above, suggests that vignette priming helps align respondents’ understanding of prevailing social norms on tax evasion. This improved awareness discourages deliberate misreporting, thus improving the overall validity and reliability of the survey’s methodology, even if it does not increase overall admissions of tax evasion itself. An alternative explanation is that vignette priming helps respondents better recognize and correctly count items in the list experiment, thereby improving response accuracy and alignment across question formats.

In other words, norm priming fosters more consistent survey responses, whether by reducing the temptation to manipulate results or by increasing recognition and attention among respondents.

Conclusion

Efforts to estimate tax evasion through surveys must strike a balance between the limitations of direct self-reports and the incomplete protection against bias afforded by indirect methods. This study finds that, in the surveyed countries, list experiments do not yield higher or more accurate prevalence estimates than direct questioning. However, particularly in high-morale environments with substantial shadow economies, some respondents may strategically manipulate survey results in hopes of prompting political action.

Norm priming through vignettes enhances experimental integrity and reduces strategic errors, underscoring the importance of accounting for social context in survey designs. For tax policy makers, measurement should always be validated with error diagnostics and social context cues, and survey formats should be adapted for cross-country comparability and public trust.

Acknowledgements

The study is financed by the European Commission’s Marie Sklodowska-Curie Individual Fellowship Action (Grant agreement ID: 101109679).

References

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.

When Fair Isn’t Fair: Framing Taxes and Benefits

20180325 When Fair Is Not Fair Image 01

Taxes and benefits create incentives for people to adopt or avoid certain behaviours. They create premiums for (socially) preferred states. A premium can be determined by either taxing unwanted behaviour or by subsidizing desired behaviour. The resulting economic incentive for changing one’s behaviour is nominally equivalent under both mechanisms. However, the choice of frame for an incentive to be either described in terms of a tax or as a benefit can strongly influence perceptions of what is fair treatment of different, e.g. income, groups. Using a survey-experiment with Flemish local politicians, we show policy-makers to be highly susceptible to such tax and benefit framing effects.  As such effects may (even unintendedly) lead to sharply different treatment of the same group under the two mechanisms, important questions arise, particularly for the design of new tax and benefit schemes.

The design and implementation of redistributive policies usually evoke much discussion. Opinions, both in public and often also in political debate, tend to be driven by ethical and fairness considerations. However, such concerns can lead to unintended consequences and – at least in terms of ex-ante intended fairness – to ex-post imbalanced incentive structures for different (income) groups.

An important function of taxes and benefits is the creation of premiums for certain behaviours or actions. Either unwanted behaviour may be taxed and thereby sanctioned, or desired behaviour may be encouraged through benefits. Irrespective of the method chosen, an economic incentive is created for individuals to opt for the desired behaviour.

The way such premiums are defined can usually be thought of as a two-step process. First, a baseline for a given behaviour, action, or state is chosen as a reference-point. For instance, baseline behaviours could be to not have retirement savings, to not use safety-certified equipment or follow accepted standards at work, or to not have children. Arguably, these are cases warranting the creation of incentives to encourage people to adopt the socially desirable behaviours of saving money for their old age, working in a safe environment, and having children. The second step, then, requires a choice of mechanism to create an incentive. The mechanism can be to either punish the unwanted behaviour – such as not adhering to safety standards at work – or to grant (cost-reducing) subsidies and benefits for taking the desired action, such as saving for old age or having children.

Importantly, the combination of the chosen reference point and the mechanism to create the incentive can influence the way people think about the fairness of an incentive when the targets belong to different (income) groups. Schelling (1981) demonstrated this point in an in-class experiment, which, somewhat simplified, runs as follows:

Families typically receive some child benefit: they get a certain sum per child. Imagine there are two families, one poor and one rich, both with their first child. What amounts of child benefit should each family get? Should the poor get more than the rich, should both families get the same, or should the rich family get more for having a child than the poor family? Schelling’s students would tend to voice support for either the poor getting more or both families getting the same. After all the rich family is surely already affluent enough to support their child. At the extreme, the rich family would get nothing for having a child, and the poor family quite a lot.

Now think of a world where the standard is to have a child, and couples who do not have a child have this ‘socially undesirable’ behaviour ‘penalised’ through a fee, for instance in the form of a tax. Should the poor couple pay a higher fee, should both couples pay the same, or should the rich couple pay a higher fee? The students now overwhelmingly supported requiring the rich couple to pay more. After all, they have more disposable income. However, in this case, the rich couple receives a lot for having a child (they no longer need to pay the steep fee), whereas the poor family may get no (additional) economic incentive for having a child. The treatment of the same family thus obviously drastically differs between the two frames. At the extreme, the poor family gets quite a lot for changing from having no children to having one child in the first frame, but nothing in the second frame. For the rich family, the situation is the reverse: there is no premium for having a child in the first frame, but potentially quite a high premium for having a child in the second frame.

Does this thought-experiment matter outside the classroom (see also Traub 1999, McCaffery & Baron 2004), beyond the context of child benefit, and among those actually exposed to the design considerations of tax and benefit systems? In a recent paper (Kuehnhanss & Heyndels 2018), we test the occurrence of such framing effects with elected local politicians in Flanders, Belgium, who are involved in the budgetary decision-making in their municipalities.

Framing experiment

We invited 5,928 local politicians to take part in an online survey on economic and social preferences in spring 2016. Participation was voluntary, not incentivised, and questions were not compulsory, allowing respondents to skip them if they so chose. In total, 869 responses to the survey were registered and (N1=) 608 participants provided usable answers to the questions relevant to the framing effect described above.

Participants were randomly allocated to one of two groups, each receiving a slightly different wording of the following question:

“In Belgium couples receive financial benefits from the state. Suppose that it is not relevant how the transfer is funded, and ignore any other benefits, which might come into play. How much [more / less] should a couple [with their first child / without children] receive per month than a couple [without children / with their first child]?”

One group saw the question in the benefit frame with only the italicised phrases in the brackets displayed; the other group saw the question in the tax frame with only the phrases in boldface displayed. In both groups, participants were then asked to fill in amounts they would consider appropriate for each of three couples with different monthly net incomes: €2,000, €4,000, or €6,000, respectively.

With framing effects – and distinct from classic rational choice models – the expectation is that the three couples would be treated differently depending on the phrasing of the question. In the italicised benefit version the amount granted should be decreasing with the income of the family. In the boldface tax version the stated amount should be increasing with the families’ income.

Figure 1. Results child scenario

Source: Kuehnhanss & Heyndels (2018, p.32)

As Figure 1 shows, the results strongly conform to this pattern. The low-income (€2,000) couple is granted an average of €330 in the benefit frame, but only €178 in the tax frame (recall that the premium in the latter arises from no longer receiving less – or ‘paying a fee’ – once there is a child). For the high-income (€6,000) couple, the amounts granted average €132 in the benefit frame, but a much higher €368 in the tax frame.

Environmental taxes and benefits

Child benefit systems are usually a well-established part of countries’ tax and benefit systems. The design of new instruments is more common in policy areas undergoing, for instance, technological change or being newly regulated. A relevant example is policy on the promotion of environmentally friendly behaviour and technologies, e.g. through ‘green’ taxes and subsidies. To test the validity of the hypothesised framing effect, we also included a second scenario in our survey related to the municipal interests of our respondents, namely car taxes. Flemish municipalities receive income from a surcharge levied on the car taxes paid by motorists. Consequently, we asked our participants (N2 = 525, see the paper for details) to imagine the introduction of a new environmental certificate for cars in Belgium, and to provide amounts they would consider appropriate for the difference in annual tax paid on cars with or without the certificate. Specifically, roughly one half of participants was asked how much less the owner of a certified car should have to pay in annual car tax than the owner of a non-certified car (the subsidy frame). The other half was asked how much more the owner of a non-certified car should pay in annual car tax than the owner of a certified car (the tax frame). The question was again asked for three different levels, proxying wealth via the cost of the cars: €15,000, €30,000, and €45,000, respectively.

Figure 2. Results car scenario

Source: Kuehnhanss & Heyndels (2018, p.32)

Figure 2 shows the results. The effect is less pronounced in this scenario, as the slope for the granted amounts in the subsidy frame remains largely flat or slightly increases. Nonetheless, a substantial framing effect remains. In the tax frame, the amount of the premium (i.e. the amount of taxes no longer owed once a certificate is obtained) strongly increases with the cost of the car. Taking the most expensive car (€45,000) as an example, we thus observe differential treatment across frames also in this scenario. In the subsidy frame, the premium for having a certificate is €778, in the tax frame it is a much higher €1,333.

Conclusion

These results suggest a strong and economically meaningful effect of framing among policy-makers with a stake in tax and benefit systems. While the exact mechanism driving the results invites further research, the strongly divergent premiums, and hence distribution of incentives, across baseline frames raise concerns of unintended effects in the design of taxes and benefits. Especially new schemes – e.g. ‘green’ policy, reform, or regulatory expansion – may benefit from increased scrutiny in the design process. Awareness of susceptibilities to framing and its potential influence on the formulation of individual tax and benefit instruments may help to align intended fairness, incentive structures, and redistributive outcomes.

References