This paper contributes to the empirical literature on the employment effects of minimum wages. We analysed the introduction of a statutory minimum wage in Germany in 2015 exploiting cross-sectional variation of the minimum wage affectedness. We construct two variables that measure the affectedness for approximately 300 state-industry combinations based on aggregate monthly income data. The estimation strategy consists of two steps. We test for (unidentified) structural breaks in a model with cross-section specific trends to control for state-industry specific developments prior to 2015. In a second step, we test whether the trend deviations are correlated with the minimum wage affectedness. To identify the minimum wage effect on employment, we assume that the minimum wage introduction is exogenous. Our results point towards a negative effect on marginal employment and a positive effect on socially insured employment. Furthermore, we analyse if the increase in socially insured employment is systematically related to the reduction of marginal employment but do not detect evidence.

Zahlreiche Studien zeigen, dass unfreiwillige Arbeitsplatzverluste zu hohen und langfristigen Einkommensverlusten bei betroffenen Arbeitnehmern führen. Die vorliegende Studie verwendet Befragungsdaten des Sozio-oekonomischen Panels (SOEP), um erstmals umfassend zu untersuchen, ob und in welchem Ausmaß Verluste im individuellen Arbeitseinkommen durch alternative Einkommensquellen, Reaktionen anderer Haushaltsmitglieder und durch staatliche Umverteilung ausgeglichen werden. Die Ergebnisse zeigen, dass Verdienstverluste vor allem durch staatliche Umverteilung kompensiert werden, wohingegen andere Kanäle nur eine untergeordnete Rolle spielen. Ein Vergleich internationaler empirischer Evidenz zu den Verdienstausfällen nach Arbeitsplatzverlusten spricht nicht dafür, dass staatliche Umverteilung den Anreiz, Verluste durch eigene Anstrengungen selbst auszugleichen, vermindert.

In this paper we analyze the relationship between turnover-driven growth and subjective well-being. Our model of innovation-led growth and unemployment predicts that: (i) the effect of creative destruction on expected individual welfare should be unambiguously positive if we control for unemployment, less so if we do not; (ii) job creation has a positive and job destruction has a negative impact on well-being; (iii) job destruction has a less negative impact in areas with more generous unemployment insurance policies; and (iv) job creation has a more positive effect on individuals that are more forward-looking. The empirical analysis using cross sectional MSA (metropolitan statistical area)-level and individual-level data provide empirical support to these predictions.

Using survey data from the German Socio-Economic Panel (SOEP), this paper analyses to what extent alternative income sources, reactions within the household context, and redistribution by the state attenuate earnings losses after job displacement. Applying propensity score matching and fixed effects estimations, we find high individual earnings losses after job displacement and only limited convergence. Income from selfemployment slightly reduces the earnings gap and severance payments buffer losses in the short run. On the household level, we find substantial and rather persistent losses in per capita labour income. We do not find that increased labour supply by other household members contributes to the compensation of the income losses. Most importantly, our results show that redistribution within the tax and transfer system substantially mitigates income losses of displaced workers both in the short and the long run whereas other channels contribute only little.

This paper analyzes the role of common data problems when identifying structural breaks in small samples. Most notably, we survey small sample properties of the most commonly applied endogenous break tests developed by Brown et al. (J R Stat Soc B 37:149–163, 1975) and Zeileis (Stat Pap 45(1):123–131, 2004), Nyblom (J Am Stat Assoc 84(405):223–230, 1989) and Hansen (J Policy Model 14(4):517–533, 1992), and Andrews et al. (J Econ 70(1):9–38, 1996). Power and size properties are derived using Monte Carlo simulations. We find that the Nyblom test is on par with the commonly used F type tests in a small sample in terms of power. While the Nyblom test’s power decreases if the structural break occurs close to the margin of the sample, it proves far more robust to nonnormal distributions of the error term that are found to matter strongly in small samples although being irrelevant asymptotically for all tests that are analyzed in this paper.