Research Seminars

The proliferation of standardized testing has raised concerns about its distortionary effects on both school and student behavior. While previous literature has extensively documented high-powered misconduct by teachers and administrators, there is little systematic evidence on how exam pressure may lead students to commit academic dishonesty. This paper investigates interpersonal student cheating during high school exit exams in Vietnam, a setting where educational success is highly coveted. Using individual-level data from a large province, I leverage the quasi-random assignment of students to test rooms to estimate peer effects on test day. I find that students from low-ranked schools performed better when taking exams with students from elite schools. High-achieving elite peers are particularly valuable. However, the gains were concentrated in multiple-choice and quantitative tests but absent in essay exams. Moreover, the positive effects virtually disappeared after a testing overhaul increased the stakes of the exams. Backed by institutional details, these suspicious patterns provide credible evidence that discreet interpersonal cheating was once prevalent: non-elite students quickly formed networks with elite peers to cheat for their own benefit. It took a major reform to reshape student incentives and eliminate this malpractice

This study examines how parental religiosity influences children’s education. Using Turkish census data for primary-school completion outcomes of individuals born in 1924-1984 and withinyear variations in fasting duration across provinces as a proxy, I find that a 30-minute increase in daily fasting during the enrollment year reduces primary school completion by 0.37 to 0.80 percentage points, with stronger effects for females. These results are not driven by income or teachers’ beliefs. Cumulative exposure to Ramadan before school enrollment confirms these findings. Parental religiosity has consequences for gendered outcomes, including fertility and labor market participation.

How do ties with elite peers affect the social mobility of non-elites who have historicallyfaced social exclusion? Using novel data on high school and university graduates in five colo-nial Indian provinces between 1894 and 1921, I examine the effects of elite peers, defined asupper-caste students, on non-elites in high schools and colleges. Exploiting the plausibly ran-dom variation in the share of elite peers across all graduating cohorts within the same schools,I find that exposure to more elite peers reduces the probability that non-elite graduates, par-ticularly those from merchant castes, complete university or become lawyers. These effectsare driven by social rank rather than economic differences between elites and non-elites. Thenegative effect is strongest in private schools run by local Indian elites and among college stu-dents graduating with the highest grades in their high school examinations. Overall, the resultssuggest that exposure to elite peers in settings with significant social distance between elitesand non-elites may hinder rather than foster upward mobility among non-elites.

The declining share of the working-age population (20-64) has led many countries to introduce social security reforms to extend the working lives of older employees. While reforms such as raising the early retirement age can effectively achieve this goal, they are often perceived as forced. Partial retirement schemes, which allow individuals to work part-time while receiving a significant portion of their previous wages, offer a more flexible alternative. However, the impact of these schemes on overall labor supply remains ambiguous. On one hand, partial retirement may increase labor supply by encouraging part-time work over early retirement; on the other, it may reduce labor supply if full-time workers choose to shift to part-time work. This paper investigates these effects by studying the introduction of a partial retirement scheme for central government employees aged 61-65 in Sweden. The findings show a 6.5%drop in average earnings, suggesting that generous partial retirement terms, which replace a substantial share of prior income, incentivize a shift from full-time to part-time work, thereby reducing the overall labor supply.

Guilt Aversion and Inequity Aversion are pivotal concepts in understanding human behavior in situations involving trust dynamics. Inequity Aversion explains trustworthiness through a preference for fairness, as trustworthiness leads to more equitable distributions. Conversely, Guilt Aversion posits that people act to avoid the guilt associated with betraying others. As both preferences provide justifications for trustworthiness, distinguishing between them solely through observed behavior poses a significant challenge. In this work, I aim to disentangle the effects of Guilt and Inequity Aversion to identify the main driver of pro-social behavior in a theory-driven experiment based on the trust game. I show theoretically that by increasing the stakes for the trustor, the two preferences have opposite predictions on trustworthiness. The experimental design, informed by this theory, features a doubling of the trustor’s payoffs. The results indicate that the preferences for equality are the main determinants of trustworthiness.

A growing body of financial research shows that machine learning–based algorithms consistently outperform traditional financial benchmark models, often yielding significant statistical and economic advantages. However, the prevailing hypothesis within this literature is that these algorithms can replace—rather than complement—fundamental financial analysis. In this research, we explore how machine learning methods can enhance standard quantitative financial models, including well-known capital asset pricing frameworks such as CAPM, FF3, and FF5. In particular, we apply Elastic Net and Random Forest methods to statistically calibrate these financial models, using the traditional OLS approach as a benchmark, for monthly data of S&P sectors from 2000 to 2024. Surprisingly, our findings indicate that out-of-sample predictive performance is largely similar across most statistical methods, effectively ruling out Random Forest as a compelling alternative. Notably, the traditional CAPM with linear regression performs quite well and, given its low computational demands, remains a cost-effective forecasting tool. In conclusion, given the random-walk nature of financial returns, allowing for nonlinearity and interactions does not notably enhance predictive performance.

Extant literature proposes and finds empirical support for both a positive and a negative relationship between market integration and pro-sociality. According to a first strand of literature, market interactions help develop generalized pro-sociality, which extends to complete strangers the sense of particularized pro-sociality that is normally reserved to one’s family, clan, or kins in traditional societies. A second strand of theoretical literature posits that market interactions erode altruism. We test the relationship between market integration and tolerance of inequality – one relevant aspect of pro-sociality – in 30 villages of Bougainville, Papua New Guinea. Since this society is transitioning from self-subsistence to market integration, it provides a suitable setting to test the above hypothesis. We measure tolerance of inequality through the “power-to-take” game, in which two players with different initial allocations make a proposal over how to divide the sum of initial earnings. We measure market integration through the share of calories coming from market purchases vis-à-vis self-subsistence.

Overall, we find no significant relationship between market integration and tolerance of inequality. Rather, behaviour seems highly variable in each village groups. We find propensity for either egalitarian or non-egalitarian divisions both in relatively highly integrated and little integrated villages. Nonetheless, greater market integration seems to affect social norms justifying inequality and other mechanisms supporting cooperation.

International trade flows show strong persistence over time. This is true for yearly data and even more so for higher-frequency data such as monthly data. Standard gravity theory cannot explain the persistence, i.e., why lagged trade flows should enter as an explanatory variable. While some dynamic gravity models have been explored, the dynamics in these models are either driven by country-specific factors (such as capital accumulation or technology) or ad hoc (like assuming bilaterally specific capital). We provide a structural dynamic gravity framework where the persistence stems from firms’ sluggish adjustment of destination-specific prices, akin to sticky pricing a la Calvo (1983). Our theoretical framework provides a micro-foundation for a gravity equation with lagged trade flows as an explanatory variable. Using OECD trade data at high and low frequencies, we document the persistence of trade flows and estimate the parameter governing the share of firms that sluggishly adjust prices. Consistent with the literature on nominal rigidities, we find a high degree of price stickiness at monthly frequency and a lower degree at annual frequency. Our results help to explain the propagation of trade cost shocks to trade, prices, and welfare over the short and long run.

Note: This study has been conducted in collaboration with Mario Larch and Dennis Novy.

Individual preferences for a specific majority threshold can be influenced by voters’ attitudes toward uncertainty. It has been theoretically demonstrated and experimentally verified that a higher majority threshold is associated with risk aversion, serving as a means to protect against the tyranny of the majority (Attanasi, Corazzini & Passarelli 2017). In this paper, we posit that the absence of ex-ante information regarding the likelihood of the voting outcome introduces an additional layer of uncertainty - namely, ambiguity - which motivates decision-makers to seek increased protection.

We model the impact of both the level of ambiguity and ambiguity aversion on the desired majority threshold of a voting lottery in a KMM environment (Klibanoff, Marinacci and Mukerji 2005). We assume that as the number of voters increases, so does the level of complexity – and consequently, the ambiguity – of the voting lottery, which in turn activates ambiguity attitudes. We test our predictions through a series of 32 classroom experiments conducted between 2020 and 2024, involving approximately 1,200 undergraduate and graduate students in Italy and France, with voter group sizes ranging from 7 to 281.

Our findings confirm a positive correlation between risk aversion and the desired majority threshold. Additionally, we provide support for our two novel predictions: first, that the desirable threshold is positively correlated with ambiguity aversion, and second, that it increases with the number of voters through this channel. These results highlight the significance of ambiguity in strategic voting.

We estimate the long-run labor market and health effects of breast cancer among Austrian women. Compared to a random sample of same-aged non-affected women, those diagnosed with breast cancer face a 22.8 percent increase in health expenses, 6.2 percent lower employment, and a wage penalty of 15 percent five years after diagnosis. Although affected women sort into higher quality jobs post-diagnosis, this is offset by a reduction in working hours. We argue that the hours reduction is more likely driven by an increase in the time preference rate, meaning that patients increasingly value the present over the future, rather than by an incapacitation effect or employer discrimination.

Until 2013, Sweden required transgender people to undergo surgical sterilization before changing their legal gender. We analyze whether the removal of this requirement led to an increase in the number of legal gender changes. Additionally, we evaluate whether people who changed legal gender with versus without mandated sterilization had different mental health and labor market trajectories during their gender transition. Our analysis uses population-wide administrative data from 2006 to 2020, including information on legal gender changes, medical records, and socioeconomic characteristics. We find that, starting in the first quarter after the requirement was abolished, three to four times as many people changed legal gender, driven by younger people with worse labor market attachment. Approximately 32.6% of trans women and 55.2% of trans men chose not to have surgery when it was not mandated. Despite this, we find negligible differences in earnings, sick leave, or mental health trajectories between people who changed legal gender before and after the abolishment.

Uncertainty about the long-term clinical and economic impacts of amyloid-PET hinders discussion regarding its potential implementation. This study evaluates the cost-effectiveness of incorporating amyloid-PET into the standard diagnostic workup in a memory clinic setting from healthcare perspective.

Nine hundred participants from the Amsterdam Dementia Cohort who were offered amyloid-PET as part of their diagnostic workup were linked to data from Statistics Netherlands on institutionalization, mortality, and healthcare costs over a five-year period. Inverse probability weighting was applied to balance the PET (n = 440) and no-PET (n = 460) groups. Primary cost-effectiveness outcomes were time in the community (TIC) and time to death (TTD), measured as restricted mean survival times. Incremental Cost-Effectiveness Ratios (ICERs) were calculated by dividing the difference in cumulative costs between the PET and no-PET groups by the difference in TIC and TTD. Uncertainty around the results was estimated using bootstrapping with 5000 repetitions.

Part 1: We consider a specific parametric version of Chicken and two different correlation devices, public and private, with the same expected payoffs in equilibrium, which is also the best correlated equilibrium payoff for the game. Despite our choices of the payoffs in the game, we find in an experiment that "following recommendations from a correlation device" vary significantly within and between our two treatments with two devices.

Part 2: We consider three simple 2x2 games, Symmetric Battle of the Sexes, Modified Battle of the Sexes and Chicken that differ only in one outcome of the game, which we call the "cooperative" outcome. We use a public correlation device which is a convex combination of two pure Nash equilibria for sending recommendations to the players. We find that following recommendations and thereby coordination in the game vary significantly among these three games. We can explain these differences by analysing players' inherent behavioural types to achieve the cooperative outcome in the game.

We investigate subjective longevity beliefs in a large sample of the Swiss adult population, using the Click-and-Drag interface, a tool to empower subjects to intuitively submit full belief distributions. We collect data on longevity beliefs on archetypes, on a series of different health scenarios, and for themselves. We implement both a CDF elicitation task – in line with most of the literature – and a PDF version for the same task. Our results show that participants’ beliefs elicited with a PDF interface were more accurate than those using the CDF interface. We show additionally that providing participants with a visual support in the form of an average longevity distribution, substantially helps to improve accuracy and debias estimates. Moreover, providing visual aid right away clearly outperformed helping after a first unguided estimation. Our findings show the promise of eliciting full distributions, reveal a surprising outperforming of the PDF over the CDF visualization, and show that providing visual guidance is a powerful tool for improving longevity predictions.

Menu-dependence is a feature of a decision process according to which people behave differently not only because of the differences in the payoffs associated with the outcomes of their choices but also because of the payoffs associated with the choices they decided not to make. This phenomenon is involved in many explanations of other-regarding behavior based on the idea of reciprocity: a preference for rewarding the other player for acting on kind intentions and punishing her for acting on unkind intentions. Intentions, in fact, are derived by comparing what a player does and what he could have done and did not. We investigate the role of this mechanism in the context of a simple trust game, by looking at whether, as reciprocity theories predict, the likelihood of a trustworthy response is affected by the kindness of the trustor’s intentions. We find, first, no menu-dependence, in the sense that trustees do not vary their trustworthiness along with the perceived kindness; second, that trustors correctly anticipate trustors’ insensitivity to changes in kindness; third, that decision to repay trust is more intuitive and faster than the self-interested ones and, fourth, the decision to trust comes quicker than the outside option, when there is room for mutual gain. We think that these results may shed new light on the intentions-based explanations of reciprocal and trustworthy behavior.

Recent papers use models of job search to interpret quasi-experiments with heterogeneity in order to understand the effects of unemployment insurance and potential benefit duration (PBD), but disagree about key findings. We argue that amending this approach with analyses that let the data speak without restrictions yields insights into policy relevant parameters and the mechanisms behind effects that do not depend on the interpretative lens and assumptions of a model. The data also casts doubt on key assumptions of common models. We first investigate what we can (not) learn from (quasiexperiments with two interdependent outcomes using a model-free framework that allows for unrestricted heterogeneity. Our discussion shows that one cannot separate direct effects of PBD on wages from indirect effects through duration, but methods to examine their presence are key to understand the channels behind wage effects. We then re-examine the effects of longer PBD in Schmieder, von Wachter and Bender (2016). We first analyze the effects of PBD that quasi-randomization identifies. Duration effects of PBD almost exclusively prolong a few long spells, which helps to explain differences between studies. Dynamic selection into reemployment timing is non-monotonic, but does not change with PBD at short durations so that dynamic treatment effects are identified at these short durations. For wage effects of PBD, we find the conditions under which LATEs of PBD on wages are informative about consequences of PBD extensions and hence useful for policy to hold. We then examine what the data can say about channels and mechanisms behind wage effects. Using dynamic treatment effects and mediation analyses, we find PBD to affect wages directly. In consequence, the effect of duration on wages is not identified and we find at most limited evidence of its relevance. That wage loss operates through the firm fixed effect and not through duration speaks against individual-based causes such as skill depreciation or bargaining. The negative direct effect we find contradicts key assumptions of common models of job search unless there are positive effects on non-wage outcomes for which we find only limited evidence.

In many contests, players are not aware of how many competitors they face. While existing studies examine how disclosing this number affects their productive effort, this paper is the first to consider its impact on destructive behavior. For doing so, I theoretically and experimentally study how revealing the number of contestants affects both effort and sabotage compared to concealing this information. Further, I evaluate the created value by comparing the resulting performances, which are shaped by the combination of the exerted effort and the received sabotage. I show that the overall performance can be higher under concealment, even though the disclosure policy does not affect average effort and sabotage levels. The experimental results largely confirm these theoretical predictions and demonstrate the significance of accounting for the effects of sabotage, as it induces performance differences between the group size disclosure policies. By concealing the number of contestants, a designer can mitigate the welfare-destroying effects of sabotage, without curbing the provision of value-creating effort.

In this paper, we test the idea that religious leaders play a central role in shaping pro-sociality and religious (in)tolerance within their churches. Using controlled allocation tasks, we directly elicit in-group-out-group biases among pastors (N=200) and members of their churches (N=800) in Kenya. We first document remarkable heterogeneity in preferences across religious leaders, with one type of leaders being tolerant and the second type severely discriminating against Muslims and non-religious individuals. Next, we show that preferences of pastors are robustly positively related to the preferences of church members, which gives rise to two prototypical types of church communities, tolerant and parochial ones. In line with recent cultural transmission models, several findings support the interpretation that religious leaders directly influence pro-sociality of their followers: (i) both tolerant and parochial leaders aim to instill their preferences in church members, (ii) church members follow behavior in an experiment that exogenously provides information about leaders’ behavior, and (iii) the preference link is stronger for members with greater exposure to their religious leader. Together, our findings suggest that differences in preferences of religious leaders spillover and create distinct social groups with contrasting moral views how to treat out-group members.

Keywords: Religious leaders, Tolerance, Parochialism, Discrimination, Social preferences, Cultural transmission

We consider the strategic interaction between two sellers facing demand of different customers who are related by a one-sided externality: only the price of one seller affects the other seller’s demand. Because of this externality, both sellers can gain by maximizing their joint profit and sharing it. We assume that cooperation via joint profits maximization is possible only with an exogenously given probability which, however, is varied systematically since we are interested whether sellers would want to render it more likely, if this is possible. So we derive how prices and expected profits of the sellers depend on the likelihood of cooperation as well as on the systematically varied externality parameter. Whereas the expected profit of the monopolist increases monotonically with the cooperation probability, the expected profits of the dependent seller is surprisingly U-shaped: decreasing with more likely cooperation when its probability is small and gaining with more likely cooperation when probability is large. So both sellers are ex-ante better off only when the cooperation probability is high enough. If sellers can only slowly move from independent pricing behavior to cooperation, for instance, to not trigger the attention of the antitrust authority, they may not be able to get off the ground what would justify that antitrust monitoring of one-sided dependent sellers is largely neglected.

This paper investigates the effects of a nation-wide conditional cash transfer program aimed to increase COVID-19 vaccination in Slovakia. Due to relatively low vaccination rates and overcrowding of hospitals during the COVID-19 pandemic, Slovak government decided to offer €200 and €300 cash transfers for individuals older than 60 years, conditional on taking any of the available vaccines at the time. Eligibility criteria of being at least 60 years of age result in sharp discontinuities in treatment assignment. Our results suggest that the program increased vaccination rates in the population. However, overall costs related to the intervention do not appear to outweigh the benefits.

I use deviations from the expected age at menarche to estimate the marginal treatment effects (MTEs) of teen childbearing on schooling and labor outcomes for Ecuadorian mothers and schooling and health outcomes for their firstborn children. Findings suggest that women with unobservable characteristics that make them less likely to become teen mothers are less likely to participate in the labor force, have fewer years of schooling, and are less likely to finish high school if they become teen mothers. Women with values of unobservables that make them more likely to become teen mothers do not have their schooling attainment negatively impacted and increase their labor force participation. I do not find evidence of effects on firstborn children. These findings help reconcile seemingly conflicting evidence from past studies and imply that there is potential to improve women's outcomes by reducing teen childbearing rates when opportunity costs are sufficiently high. However, these findings counter the belief that teen childbearing has been a significant source of intergenerational transmission of low socioeconomic status.

Fierce debate over the feasibility of cardinally measuring utility – or ‘wellbeing’ – with surveys has recently resurfaced. Several prominent papers claimed that when interpreting survey data as strictly ordinal, most of the literature’s results are easily reversed. We systematically assess this claim. To do so, we replicate the universe of wellbeing research published in top economics journals since 2010. In total, we replicate 35 studies, containing 9,183 coefficients. For all coefficients, we assess whether signs of regression coefficients are invariant under all positive monotonic transformations of the scale with which wellbeing is recorded. About 40% of results cannot be reversed with any monotonic transformation of the scale. Comparatively low reversal risks are observed for the effects of income (19%) and unemployment (8%) as key wellbeing determinants. Once we allow for a mild degree of heterogeneity in mean wellbeing within response categories, these figures increase. To aid the robustness of future wellbeing research, we also estimate models of reversal risk. Generally, reversal risk decreases drastically with the statistical significance of the original estimates. Likewise, estimates with a clear exogenous and causal identification strategy also have a significantly lower risk of reversibility.

This paper explores the success of scaling up of state programs. I study the two phases of staggered rollout of the Advanced Placement (AP) Incentives Programs in Texas which aimed to increase AP utilization. The 1997 pilot phase included a small group of high schools, the Scaled-up phase expanded this to half of all Texas high schools in 2001. Using a staggered difference-in-differences approach, I separately estimate the impact of the program in each phase. I find a 70% increase in AP Enrollment and a 40% increase in the number of AP courses for the schools which implemented the program before scaling up. College enrollment and graduation increases by 10% and 3%, as well as a 7% increase in wages. However, there is a null effect for the outcomes of the schools which implemented the program after scaling up. The potential explanation for the disparate effects is that the student demand for the AP courses differed between two treatment arms.

In this paper we study treatment-taking responses to four different medication choices across four different classes of risk. We find that, in general, individuals are rational and prefer treatments with lower risks, but there are significant differences across medication types, especially for vaccines. Much of this variation can be attributed to vaccine hesitancy and illness anxiety, while certain individual characteristics, such as health status, age, and math skills, also affect treatment-taking behaviour.

Note: This is an online seminar event, the presentation will be streamed in the room, allowing attendees to gather together and follow the speaker's presentation.

We estimate the effects of large, positive wealth shocks on marriage and fertility in a sample of Swedish lottery players. For male winners, wealth increases marriage formation and fertility, and there is suggestive evidence that divorce risk goes down. For female winners, the only discernible effect of wealth is that it increases short-run (but not long-run) divorce risk. Overall, the pattern of gendered treatment effects we document closely mirror the gender differences in income gradients in observational data. The gendered effects on divorce risk are consistent with a model where the wealthier spouse retains most of his/her wealth following a marital disruption. In support of this assumption, we show divorce settlements in Sweden often favor the richer spouse.

This paper attempts to study the trends and patterns of gradients in child malnutrition in India based on maternal education, household wealth and birth order. We then examine the role of child gender in explaining these gradients. We analyze data from three rounds of the National Health and Family Survey (NFHS) conducted between 2005 and 2021. We focus on children under 5 years of age, using height-for-age z-score (HAZ) and the proportion of stunted children as measures of child health. For the total sample of children under 5, we show that there are gradients in child health by maternal education, household wealth and birth order, although the latter disappears in a within-sex analysis. However, the gender of the child does not appear to be important in explaining these gradients.

At the end of World War II and as a result of it, an estimated 12 million ethnic Germans were forcibly and often violently displaced from areas in which most of them had lived for many generations. Between 8 and 10 million of them arrived within the new borders of Germany, among them many children. Only recently have economists started to investigate how their displacement affected local economies and the displaced themselves. Even less is known about how those who were displaced as children were affected, which is the subject of this research in progress. Preliminary results show that children who were displaced are more likely to have moved within the last 10 years in young adulthood, a finding that cannot be explained by educational choices, marriage behavior, or other observables. Fragmentary evidence shows that it may be related to growing up without family roots and in smaller social networks, which makes moving away less costly. If these findings hold up, they suggest that even in situations in which refugees and displaced are similar to the hosting population, mobility of offspring is higher and while it may lead to better employment opportunities is at least partially rooted in their social isolation.