Exploiting the executive compensation reform for state-owned enterprises (SOEs) in China that enforce strict pay restrictions, this study examines whether and how pay restrictions affect firms’ labor investment inefficiency. We find that SOEs experience a decrease in abnormal labor investment following the reform relative to non-SOEs, particularly in over-investment in labor. Our results show that the reform is associated with lower labor investment inefficiency through strengthened internal governance and mitigated internal social comparison. In addition, pay restrictions specifically curb firms’ tendency to over-hire. Further analysis reveals that imposing pay restrictions on executives enhances labor quality and also promotes employee well-being. This study offers novel policy insights by showing how pay restrictions to SOE executives can reduce vertical agency costs and investment inefficiency and enhance workforce quality and well-being in weak institutional environments.

Firm training is widely regarded as crucial for protecting workers from automation, yet there is a lack of empirical evidence to support this belief. Using internationally harmonized data from over 90,000 workers across 37 industrialized countries, we construct an individual-level measure of automation risk based on tasks performed at work. Our analysis reveals substantial within-occupation variation in automation risk, overlooked by existing occupation-level measures. To assess whether firm training mitigates automation risk, we exploit within-occupation and within-industry variation. Additionally, we employ entropy balancing to re-weight workers without firm training based on a rich set of background characteristics, including tested numeracy skills as a proxy for unobserved ability. We find that training reduces workers’ automation risk by 3.8 percentage points, equivalent to 8% of the average automation risk. The training-induced reduction in automation risk accounts for 15% of the wage returns to firm training. Firm training is effective in reducing automation risk and increasing wages across nearly all countries, underscoring the external validity of our findings. Training is similarly effective across gender, age, and education groups, suggesting widely shared benefits rather than gains concentrated in specific demographic segments.

Firm training is widely regarded as crucial for protecting workers from automation, yet there is a lack of empirical evidence to support this belief. Using internationally harmonized data from over 90,000 workers across 37 industrialized countries, we construct an individual-level measure of automation risk based on tasks performed at work. Our analysis reveals substantial within-occupation variation in automation risk, overlooked by existing occupation-level measures. To assess whether firm training mitigates automation risk, we exploit within-occupation and within-industry variation. Additionally, we employ entropy balancing to re-weight workers without firm training based on a rich set of background characteristics, including tested numeracy skills as a proxy for unobserved ability. We find that training reduces workers’ automation risk by 3.8 percentage points, equivalent to 8% of the average automation risk. The training-induced reduction in automation risk accounts for 15% of the wage returns to firm training. Firm training is effective in reducing automation risk and increasing wages across nearly all countries, underscoring the external validity of our findings. Training is similarly effective across gender, age, and education groups, suggesting widely shared benefits rather than gains concentrated in specific demographic segments.

This paper studies whether common ownership affects the direction of technological change. We develop a task-based model in which commonly owned firms internalize wage externalities from labor market rivals, increasing incentives to automate. We establish causality by exploiting institutional investor mergers in a dynamic DiD design, using U.S. data on institutional ownership, establishment-level employment, and automation patents. When institutional investor mergers increase common ownership among labor market rivals, the annual probability of those firms producing an automation patent increases by 3.79 percentage points and employment growth falls by 3.8 percentage points on average. Both effects disappear without labor market overlap.

We study the consequences of the Covid-19 pandemic and related policy support on productivity. We employ an extensive micro-distributed exercise to access otherwise unavailable individual data on firm performance and government subsidies. Our cross-country evidence for five EU countries shows that the pandemic led to a significant short-term decline in aggregate productivity and the direct support to firms had only a limited positive effect on productivity developments. A thorough comparative analysis of the distribution of employment and overall direct subsidies, considering separately also relative firm-level size of support and the probability of being supported, reveals ambiguous cross-country results related to the firm-level productivity and points to the decisive role of other firm characteristics.

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.

Income inequality has been a major concern of economic policy makers for several years. Can minimum wages help to mitigate inequality? In 2015, the German government introduced a nationwide statutory minimum wage to reduce income inequality by improving the labour income of low-wage employees. However, the employment effects of wage increases depend on time and region specific conditions and, hence, they cannot be known in advance. Because negative employment effects may offset the income gains for low-wage employees, it is important to evaluate minimum-wage policies empirically. We estimate the employment effects of the German minimum-wage introduction using panel regressions on the state-industry-level. We find a robust negative effect of the minimum wage on marginal and a robust positive effect on regular employment. In terms of the number of jobs, our results imply a negative overall effect. Hence, low-wage employees who are still employed are better off at the expense of those who have lost their jobs due to the minimum wage.

We study the effect of job displacement due to bankruptcies on earnings and employment prospects of displaced workers and analyse whether extended potential unemployment benefit duration (PBD) ameliorates the negative consequences of job loss. Using German administrative linked employer-employee data, we find that job loss has long-lasting negative effects on earnings and employment. Displaced workers also more often end up in irregular employment relationships (part-time, marginal part-time employment, and temporary agency work) than their non-displaced counterparts. Applying a regression discontinuity approach that exploits a three months PBD extension at the age threshold of 50 we find hardly any effects of longer PBD on labour market outcomes of displaced workers.

Knapp 8% der Beschäftigten in den Handwerksbetrieben Sachsen-Anhalts verdienten vor der Einführung des gesetzlichen Mindestlohns zu Beginn des Jahres 2015 brutto weniger als 8,50 Euro je Stunde. Allerdings differiert die Betroffenheit stark. In den besonders betroffenen Gewerken war zu befürchten, dass die durch den Mindestlohn induzierte Kostensteigerung zu einem spürbaren Beschäftigungsabbau führt. In diesem Kontext werden drei Fragen untersucht: (1) Wie hoch war die Mindestlohnbetroffenheit im Handwerk in Sachsen-Anhalt? (2) Welche – über die Lohnkostenerhöhung hinausgehenden – Effekte hatte die Mindestlohneinführung in den Handwerksbetrieben? (3) Welche Ausweichreaktionen haben die Handwerksbetriebe unternommen, um die höhere Kostenbelastung zu bewältigen? Die Untersuchungen basieren auf den von den Handwerkskammern Halle und Magdeburg durchgeführten Konjunkturumfragen, die in Kooperation mit dem IWH um zusätzliche Fragen zur Mindestlohneinführung erweitert wurden. Die Ergebnisse der Schätzungen zeigen keine signifikanten Beschäftigungseffekte infolge der Einführung des gesetzlichen Mindestlohns. Vielmehr haben die Handwerksbetriebe vor allem mit Preiserhöhungen reagiert.

This paper examines the effects of the minimum wage introduction in Germany in 2015 on the skilled crafts sector in Saxony-Anhalt.

Using novel survey data on the skilled crafts sector in Saxony-Anhalt, we examine three questions: (1) How many employees are affected by the minimum wage introduction in the skilled crafts sector in Saxony-Anhalt? (2) What are the effects of the minimum wage introduction? (3) How did firms react to wage increase?

We find that about 8 % of all employees in the skilled crafts sector in Saxony-Anhalt are directly affected by the minimum wage introduction. A difference-in-difference estimation reveals no significant employment effects of the minimum wage introduction. We test for alternative adjustment strategies and observe a significant increase of output prices.