Disability benefits are costly and tend to reduce labor supply.  While costs can be reduced by careful targeting, correcting past eligibility rules or assessment procedures may entail welfare costs. We study a major reform in Hungary that reassessed the health and working capacity of a large share of beneficiaries. Leveraging age and health cutoffs in the reassessment, we estimate employment responses to loss or reduction of benefits. We find that among those who left disability insurance due to the reform, 57% were employed in the primary labor market and 38% had neither employment nor benefit income. The consequences of leaving disability insurance sharply differed by pre-reform employment status. 62% of those without pre-reform employment did not work after exiting disability insurance, whereas this ratio was only 14% for those who had some employment in the pre-reform year. The gains of the reform in activating beneficiaries were small and strongly driven by pre-reform employment status. This points to the importance of combining financial incentives with broader labor market programs that increase employability.

We study variation in healthcare utilization across geographies and socioeconomic groups in Hungary. Exploiting migration across geographic regions and relying on high-quality administrative data on healthcare use and income we show that the role of place-specific supply factors is heterogeneous across types of care and across socioeconomic groups. Overall, place-specific factors account for 68% of the variation in outpatient spending and 35% of the variation in drug spending, but almost none of the variation in inpatient spending. Place effects explain four-fifth of outpatient spending variation for non-employed working-age individuals, but less than two-fifth for individuals with above-median wage incomes. There is a positive association between place effects and outpatient capacity, especially for low-income individuals. These results suggest that access to healthcare varies especially for low-income people even in a context with universal coverage.

In Hungary, employees could claim sickness insurance benefit within 3 days of job-loss, which would enable them to extend their benefit duration by up to 90 days. The maximum number of days of this ‘passive sickness benefit’ was halved in 2007. We first investigate whether claiming passive sickness benefit was related to the monetary advantage relative to claiming unemployment insurance benefits. Then, we explore the effect of potential benefit duration on the transitions to stable employment relying on the variation induced by the policy change. Relying on high quality longitudinal matched administrative data we can estimate these relationships while using controls for employment histories and healthcare spending. On the one hand, we find that passive sickness benefit claiming behavior was indeed correlated with the financial gains. On the other hand, we find only a very small and insignificant immediate effect on transitions to employment when maximum benefit duration was cut by 45 days. However, we find that job finding hazard on the week after benefit exhaustion increased more for individuals who were not on sick leave just prior to job-loss. Our finding is suggestive that a non-negligible proportion of this group were subject to moral hazard.

Using data for 201 regions (NUTS 2) in Europe, we examine the mortality burden of the COVID-19 pandemic and how the mortality inequalities between regions changed between 2020 and 2022. We show that over the three years of the pandemic, not only did the level of excess mortality rate change considerably, but also its geographical distribution. Focusing on life expectancy as a summary measure of mortality conditions, we find that the variance of regional life expectancy increased sharply in 2021. This was due to a much higher-than-average excess mortality in regions with lower pre-pandemic life expectancy. While the life expectancy inequality has returned to its pre-pandemic level in 2022, the observed life expectancy in almost all regions is far below that expected without the pandemic.

This paper investigates how the evolution of local labour market structure enables or constrains workers as regards escaping low-wage jobs. Drawing on the network-based approach of evolutionary economic geography, we employ a detailed individual-level panel dataset to construct skill-relatedness networks for 72 functional labour market regions in Sweden. Subsequent fixed-effect panel regressions indicate that increasing density of skill-related high-income jobs within a region is conducive to low-wage workers moving to better-paid jobs, hence facilitating labour market upgrading through diversification. While metropolitan regions offer a premium for this relationship, it also holds for smaller regions, and across various worker characteristics.