We study the impact of delayed school entry on the locus of control (LoC) among Hungarian students, using statutory cutoff dates for school enrollment as a plausibly exogenous variation. Our findings indicate a causal relationship between delayed school entry and an increase in internal LoC, with a policy effect of approximately one-tenth of a standard deviation for 8th-grade students, which corresponds to a one-third standard deviation effect for complier students. The policy implications of these findings are significant, providing evidence that delaying school start could serve as an effective intervention to enhance LoC among students, which is positively associated with many later life outcomes.

In this study, we examine how parents’ educational aspirations for their offspring (referred to as parental preferences) are related to university attendance. Even after controlling for the cognitive abilities of the child, we document a considerable variation in parental preferences, which are, in turn, strongly associated with university attendance. Utilizing regressions based on machine learning techniques, we also find that parental preferences exert a large and significant effect on university
attendance, even when accounting for factors that influence parental preferences, including parental education, household characteristics, effort, expectations, and the child’s cognitive and non-cognitive abilities.

We study the role that firms play in social insurance benefit uptake after their workers experience health shocks. Social insurance in our setting, Hungary, is universal and comprehensive, thus allowing us to quantify the impact of firms on benefit uptake and labor market outcomes on top of the social safety net. Using matched employer-employee administrative data linked to individual-level health records, we find that firm responses to worker health shocks are heterogeneous: workers hit by a health shock at high-quality firms are less likely to take up disability insurance or exit the labor force than those at low-quality firms.

A main driver of the gender wage gap is that women earn a lower firm-specific wage premium than men. We document the role of flexible wage components in driving both within-firm and between-firm gender differences in firm premia. For this purpose, we link wage survey data on performance payments and overtime to an administrative linked employer-employee dataset from Hungary. We find that the gender gap in firm premia is negligible at firms that do not pay either performance payments or overtime, while it is more than 11 percent at firms where all employees receive performance- and overtime payments. These patterns are also present when we control for differences in the labor productivity of firms or after composition differences are accounted for using AKM models. Finally, a decomposition exercise shows that performance payments and overtime payments contribute 60 percent to the gender gap in firm premia and 25 percent to the overall gender gap.

We study the impact of a large payroll tax cut for older workers on employment and wages in Hungary. By exploiting administrative data and applying a difference-in-differences empirical strategy, we document a modest employment increase equivalent to a labor demand elasticity of -0.3 and a pass-through rate of 22%. These average effects mask large heterogeneity across different firms. Employment mainly increases at low-productivity, low-paying firms, while no jobs are created at high-productivity, high-paying firms. At the same time, the tax cut is passed through to wages only at high-productivity, high-paying firms, while low-productivity, low-paying firms do not share the benefits of the tax cut with their workers. These results point to important heterogeneity in the incidence of payroll tax cuts across firms, highlighting that workers at different firms benefit differently from payroll taxes. They also demonstrate that payroll taxes can have a significant impact on the composition of jobs in the labor market.