The term structure of equity and its cyclicality are key to understand the risks drivingequilibrium asset prices. We propose a general equilibrium model that jointly  explainsfour important features of the term structure of equity: (i) a negative unconditionalterm premium, (ii) countercyclical term premia, (iii) procyclical equity yields, and (iv)premia to value and growth claims respectively increasing and decreasing with thehorizon. The economic mechanism hinges on the interaction between heteroskedasticlong-run growth — which helps price long-term cash flows and leads to countercyclicalrisk premia — and homoskedastic short-term shocks in the presence of limited marketparticipation — which produce sizeable risk premia to short-term cash flows. The slopedynamics hold irrespective of the sign of its unconditional average. We provide empirical support to our model assumptions and predictions.

I study how labour market power affects firm wage differences using German manufacturing sector firm-level data (1995-2016). In past decades, labour market power increasingly moderated rising between-firm wage inequality. This is because high-paying firms possess high and increasing labour market power and pay wages below competitive levels, whereas low-wage firms pay competitive wages. Over time, large, high-wage, high-productivity firms generate increasingly large labour market rents while selling on competitive product markets. This provides novel insights on why such “superstar firms” are profitable and successful. Using micro-aggregated data covering most economic sectors, I validate my results for ten other European countries.

I study how labour market power affects firm wage differences using German manufacturing sector firm-level data (1995-2016). In past decades, labour market power increasingly moderated rising between-firm wage inequality. This is because high-paying firms possess high and increasing labour market power and pay wages below competitive levels, whereas low-wage firms pay competitive wages. Over time, large, high-wage, high-productivity firms generate increasingly large labour market rents while selling on competitive product markets. This provides novel insights on why such “superstar firms” are profitable and successful. Using micro-aggregated data covering most economic sectors, I validate my results for ten other European countries.

Using survey data from the German Socio‐Economic Panel (SOEP), this paper analyses the extent to which 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 that income from self‐employment reduces the earnings gap only slightly and severance payments buffer losses in the short run. On the household level, we find little evidence for an added worker effect whereas redistribution by the state within the tax and transfer system mitigates income losses substantially.

In this paper, a simple integrated model for the joint assessment of epidemic and economic dynamics is developed. The model can be used to discuss mitigation policies like shutdown and testing. Since epidemics cause output losses due to a reduced labor force, temporarily reducing economic activity in order to prevent future losses can be welfare enhancing. Mitigation policies help to keep the number of people requiring intensive medical care below the capacity of the health system. The optimal policy is a mixture of temporary partial shutdown and intensive testing and isolation of infectious persons for an extended period of time.

Job creation is one of the most important aspects of entrepreneurship, but we know relatively little about the hiring patterns and decisions of start‐ups. Longitudinal data from the Integrated Longitudinal Business Database (iLBD), Kauffman Firm Survey (KFS), and the Growing America through Entrepreneurship (GATE) experiment are used to provide some of the first evidence in the literature on the determinants of taking the leap from a nonemployer to employer firm among start‐ups. Several interesting patterns emerge regarding the dynamics of nonemployer start‐ups hiring their first employee. Hiring rates among the universe of nonemployer start‐ups are very low, but increase when the population of nonemployers is focused on more growth‐oriented businesses such as incorporated and employer identification number businesses. If nonemployer start‐ups hire, the bulk of hiring occurs in the first few years of existence. After this point in time, relatively few nonemployer start‐ups hire an employee. Focusing on more growth‐ and employment‐oriented start‐ups in the KFS, we find that Asian‐owned and Hispanic‐owned start‐ups have higher rates of hiring their first employee than white‐owned start‐ups. Female‐owned start‐ups are roughly 10 percentage points less likely to hire their first employee by the first, second, and seventh years after start‐up. The education level of the owner, however, is not found to be associated with the probability of hiring an employee. Among business characteristics, we find evidence that business assets and intellectual property are associated with hiring the first employee. Using data from the largest random experiment providing entrepreneurship training in the United States ever conducted, we do not find evidence that entrepreneurship training increases the likelihood that nonemployers hire their first employee.

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.

I use data from the German Socio-Economic Panel Study (SOEP) to analyze the relationship between height and wages in a sample of young German workers. My results show that the crude height wage premium documented in the literature is explained by unobserved heterogeneity on the sibling level. This contradicts the findings of a labor market height premium in Germany using OLS and Hausman-Taylor estimators as well as the Swedish finding of a height effect remaining after controlling for sibling fixed effects. 

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.

Using data from the OECD Regional Well-Being Index – a set of quality-of-life indicators measured at the sub-national level, we construct a set of composite well-being indices. We analyse the extent to which the choice of five alternative aggregation methods affects the well-being ranking of regions. We find that regional inequality in these composite measures is lower than regional inequality in gross-domestic product (GDP) per capita. For most aggregation methods, the rank correlation across regions appears to be quite high. It is also shown that using alternative indicators instead of GDP per capita would only have a small effect on the set of regions eligible for aid from EU Structural Funds. The exception appears to be an aggregation based on how individual dimensions of welfare relate to average life satisfaction across regions, which would substantially change both the ranking of regions and which regions would receive EU funds.