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This study examines the role of schools as workplaces in generating heterogeneity in teachers’ mental health.

Teacher mental health is a growing societal and economic concern with important implications for educational quality and student outcomes.

This study examines the role of schools as workplaces in generating heterogeneity in teachers’ mental health. Using comprehensive population-wide Danish register data linking teachers to schools, students, and health care utilization, we document large and persistent differences in mental health outcomes across schools.

These differences reflect causal workplace effects rather than selection, as a quasi-experimental mover design shows: teachers’ mental health deteriorates after moving to schools with worse mental health environments, with effects unfolding over the subsequent years. The variation across schools correlates only to a small degree with observable school and student characteristics. Auxiliary analyses point to unobserved dimensions of workplace quality, such as leadership and organizational climate, as potential drivers of heterogeneity in teacher mental health.

joint with Antonia Entorf and Miriam Gensowski

This study is about the effects of New Horizon, a large-scale national education reform implemented in Israeli elementary schools.

We study the short-run effects of New Horizon, a large-scale national education reform implemented in Israeli elementary schools. The reform combined multiple school-level interventions, including expanded small-group instruction, increased teachers’ on-site working hours, higher salaries, new promotion and professional development requirements, and strengthened school leadership. Using the staggered rollout of the reform, we find that mathematics and English test scores increased by 0.1–0.2 standard deviations within four years, alongside immediate improvements in student–teacher relationships, teachers’ efforts to support students, and classroom behavior. At the same time, teachers reported substantially higher workloads, pointing to short-run adjustment costs that may have contributed to relatively modest achievement gains. Overall, the results suggest that comprehensive, whole-school reforms can improve both academic outcomes and the learning environment, with small-group learning and changes in teachers’ working conditions playing a central role.

Research on migrants and ethno-racial minorities documents that those with higher education often report more experiences of discrimination, usually attributed to heightened expectations of equal treatment, increased exposure to majority institutions, and greater awareness of subtle forms of discrimination. This process is referred to as the “integration paradox”. While this paradox has been examined extensively among migrants and ethno-racial groups, and recently among women, it remains unclear whether similar mechanisms operate among other minorities. Jews constitute a particularly interesting minority to test this phenomenon, as anti-Jewish hostilities and antisemitic incidents are frequent despite low public visibility and relatively high levels of education among Jews on average.

To fill this gap, this study examines the relationship between higher educational attainment and perceived personal discrimination on religious grounds among Jews in Europe and the US, based on data from the second survey on discrimination and hate crime against Jews in the EU 2018 and PEW’s Jewish Americans in 2020 survey. Our findings show that, unlike prior research on ethnic minorities and women, higher education is, on average, associated with lower levels of perceived discrimination among Jews. Deeper analyses reveal that this is mostly the case for those who are religious or visibly Jewish, e.g., by regularly wearing a Kippa. In contrast, there is no significant education effect for those who are not religious or not visible as Jews in everyday life. These results suggest that visibility does not have a uniform effect across minority groups and that the social conditions under which minority status becomes salient are central to understanding when education reduces or amplifies perceptions of discrimination.

The study examines how the desirability of masculine and feminine traits for men and women varies across societal and occupational settings.

Women are often encouraged to display warmth and tenderness in society, while professional success is associated with stereotypically masculine traits such as assertiveness. This creates a potential double bind in which the desirability of gendered traits differs across social and workplace contexts.

Using a large online experiment with U.S. participants (N = 1,867), we examine how the desirability of masculine and feminine traits for men and women varies across societal and occupational settings. We show that women face a sharp shift: feminine traits are highly desirable in society but substantially less at work, particularly in male-dominated industries, alongside a significant increase in the desirability of masculine traits for women even in female-dominated contexts compared to society at large. In contrast, desirability for men’s masculinity remain largely stable, while feminine traits are less desirable outside female-dominated occupations.

We further extend the identity-based framework of Akerlof and Kranton (2000) to interpret these context-dependent trade-offs and their implications for workplace behavior.

Coauthor: Stefano Piasenti

This study is about how carbon prices affect labor market outcomes.

This study is about how carbon prices affect labor market outcomes by exploiting a policy change in the EU Emissions Trading System that led to a sharp rise in permit prices.

Using population-wide employer-employee matched data from the Netherlands and a matched difference-in-differences design, we find no adverse aggregate effects on employment or wages. However, the distributional effects are sizable: workers in firms with large permit surpluses experience wage gains, as do STEM-educated workers-especially those with stronger outside options. Plants employing more STEM workers achieve larger reductions in energy costs, highlighting the role of skills in facilitating the transition to low-carbon technologies.

Our results illustrate that distributional effects of carbon pricing depend on market design and worker skills.

This study comprehensively explores the effect of in-person schooling on contemporaneous juvenile violence.

While investments in schooling generate large private and external returns, negative peer interactions in school may generate substantial social costs.

Using data from four national sources (Uniform Crime Reports, National Incident-Based Reporting System, National Crime Victimization Survey, National Electronic Injury Surveillance System) and a variety of identification strategies, this study comprehensively explores the effect of in-person schooling on contemporaneous juvenile violence. Using a proxy for in-person schooling generated from anonymized smartphone data and leveraging county-level variation in school calendars - including unique, large, localized changes to in-person instruction during the COVID-19 pandemic - we find that in-person schooling is associated with a 28 percent increase in juvenile violent crime. A null finding for young adults is consistent with a causal interpretation of this result.

The effects are largest in larger schools and in jurisdictions with weaker anti-bullying policies, consistent with both concentration effects and a peer quality channel. Back-of-the-envelope calculations suggest that relative to closed K-12 schools, in-person schooling generates $233 million in monthly violent crime costs.

This paper quantifies effects of preferences in home-based long-term care using unique internal data.

This paper quantifies effects of preferences in home-based long-term care using unique internal data from a matchmaking agency that records households' and workers' ex-ante preferences, realized matches, wages, and job durations.

I estimate a structural matching model to recover each party's valuation of match attributes as a function of preferences, and their impact on employment stability. Linking the data to population registers shows that demand is rising fastest where preferences over workers' origin are stronger, while gender preferences will weaken.

Simulations predict welfare changes under varying care worker compositions and suggest that losses from a shift toward distant immigrant workers are modest.

This paper estimates the causal effect of public employment reallocation on local labor markets.

Regional economic disparities within countries have become increasingly large, often surpassing the disparities observed between countries. To address regional inequality, governments have been turning away from standard subsidies and are experimenting with public employment reallocation as a place-based policy.

This paper estimates the causal effect of public employment reallocation on local labor markets. I study the ‘Heimatstrategie,’ which relocates around 3,000 public sector jobs from Munich to economically lagging regions in Bavaria, Germany. Using novel data on 60 agency relocations between 2015 and 2025, I exploit the government’s quantitative selection criteria for receiving municipalities and implement a long-differences design comparing treated Bavarian municipalities to Mahalanobis-matched control municipalities in other German states.

My estimates show that relocations increased private sector employment shares by up to 2.3%, reduced unemployment rates by up to 11.9%, and increased local population by up to 1.6% without harming sending locations. These results provide new causal evidence on public employment multipliers from non-capital city relocations, addressing external validity concerns in the existing literature.

This article examines the economics of paid sick leave from both theoretical and empirical perspectives.

This article examines the economics of paid sick leave from both theoretical and empirical perspectives. Research on paid sick leave has evolved dynamically over the last decade, primarily driven by U.S. sick pay mandates, which have increased paid sick leave access from 63 percent to 77 percent in all U.S. jobs.

We begin by discussing the economic rationales for government regulation, particularly the negative externalities associated with contagious diseases when individuals work while sick. Then, we review economic modeling approaches to study optimal paid sick leave policies. After that, we discuss key trade-offs in the general design of paid sick leave schemes along with trade-offs when setting specific policy parameters.

This presentation reports on recent experimental work aimed at improving survey performance.

This presentation reports on recent experimental work aimed at improving survey performance with respect to the joint optimization of response rates, nonresponse bias, and fieldwork costs in a long-running large-scale household panel. Drawing on the main study of the Socio-Economic Panel (SOEP), including the IAB-SOEP Migration Samples and the IAB-BAMF-SOEP Refugee Survey, I discuss four field experiments designed to identify leverage points for more efficient and less biased data collection.
First, I present two incentive experiments: (1) a study testing the effectiveness of prepaid incentives in combination with post-paid incentives in a panel study, and (2) an experiment evaluating unconditional pre-paid and “early-bird” incentives in a mature panel context. Second, I summarize preliminary findings from two multimode experiments. One assigns respondents at random to one of three interviewing modes: video interviewing (CALVI), interviewer-administered face-to-face (CAPI), or web self-completion (CAWI). The other experiment randomly transitions 50% of households from CAPI to a CAWI-with-CAPI-follow-up design, while the remaining 50% continue in their familiar CAPI mode.

Using evidence from these studies, I outline the derivation of an adaptive mode-assignment strategy for household panels - an approach that tailors data-collection modes to household characteristics and response propensities with the goal of stabilizing data quality while reducing costs. I conclude by highlighting methodological pitfalls encountered in the experiments and by outlining next steps toward fully operational adaptive survey designs.

This presentation draws partly on joint work with colleagues from the SOEP team, researchers at the Federal Institute for Population Research, and GESIS.