Wir untersuchen die kurz- und langfristigen Auswirkungen eines starken Anstiegs chinesischer Importe auf Wahlergebnisse in Europa. Populistische sowie links- und rechtsextreme Parteien gewannen erst viele Jahre nach dem Höhepunkt des China-Schocks bedeutenden Zuwachs an Wählerstimmen. Wir zeigen, dass die Auswirkungen von Importschocks überwiegend zugunsten populistischer Parteien ausfallen. In geringerem Maße profitieren in der kurzen Frist zudem linksextreme Parteien, langfristig hingegen rechtsextreme Parteien. Die Effekte auf das Wahlverhalten sind jedoch moderat und wir schlussfolgern, dass Importschocks den Aufstieg der politischen Ränder nur in begrenztem Maße erklären können.

This field experiment investigates the causal impact of mothers’ perceptions of gender norms on their employment attitudes and labor-supply expectations. We provide mothers of young children in Germany with information about the prevailing gender norm regarding maternal employment in their city. At baseline, over 70% of mothers incorrectly perceive this gender norm as too conservative – the most pronounced misperception among the various gender norms we examine. Our randomized information treatment improves the accuracy of these perceptions, significantly reducing the share of mothers who perceive gender norms as overly conservative. The treatment also shifts mothers’ own labormarket attitudes in a more liberal direction. Leveraging the fact that we assessed attitudes in a prior survey, we show that specifically the shifted attitude is a strong predictor of mothers’ future labor-market participation. Consistently, treated mothers are more likely to plan an increase in their working hours, particularly those with existing support to facilitate their employment.

This paper provides a comprehensive analysis of the forecastability of the real price of natural gas in the United States at the monthly frequency considering a universe of models that differ in their complexity and economic content. Our key finding is that considerable reductions in mean-squared prediction error relative to a random walk benchmark can be achieved in real time for forecast horizons of up to two years. A particularly promising model is a six-variable Bayesian vector autoregressive model that includes the fundamental determinants of the supply and demand for natural gas. To capture real-time data constraints of these and other predictor variables, we assemble a rich database of historical vintages from multiple sources. We also compare our model-based forecasts to readily available model-free forecasts provided by experts and futures markets. Given that no single forecasting method dominates all others, we explore the usefulness of pooling forecasts and find that combining forecasts from individual models selected in real time based on their most recent performance delivers the most accurate forecasts.

The IAB Job Vacancy Survey is a quarterly and representative establishment survey on labor demand and recruitment processes in Germany. The survey identifies the overall stock of vacancies in the German labor market, including those vacancies that are not reported to the Federal Employment Agency (FEA). The first module of the questionnaire collects information about the number and structure of vacancies, future personnel requirements, about the current economic situation and the expected development of participating establishments. The second module enquires about employer attitudes and firm use of current labor market instruments as well as the employer handling of people disadvantaged in the labor market. The third module asks for information about the last new hire and the last case of a failed recruitment effort. The Research Data Centre of the Federal Employment Agency offers the data sets of the survey waves from 2000 onwards.

Standard labor market models assume that workers hold accurate beliefs about the external wage distribution, and hence their outside options with other employers. We test this assumption by comparing German workers’ beliefs about outside options with objective benchmarks. First, we find that workers wrongly anchor their beliefs about outside options on their current wage: workers that would experience a 10% wage change if switching to their outside option only expect a 1% change. Second, workers in low-paying firms underestimate wages elsewhere. Third, in response to information about the wages of similar workers, respondents correct their beliefs about their outside options and change their job search and wage negotiation intentions. Finally, we analyze the consequences of anchoring in a simple equilibrium model. In the model, anchored beliefs keep overly pessimistic workers stuck in low-wage jobs, which gives rise to monopsony power and labor market segmentation.

We analyze how skill transferability and the local industry mix affect the adjustment costs of workers hit by a trade shock. Using German administrative data and novel measures of economic distance we construct an index of labor market absorptiveness that captures the degree to which workers from a particular industry are able to reallocate into other jobs. Among manufacturing workers, we find that the earnings loss associated with increased import exposure is much higher for those who live in the least absorptive regions. We conclude that the local industry composition plays an important role in the adjustment processes of workers.

Diese Studie untersucht, wie die betrieblichen Erträge zwischen deutschen Industrieunternehmen und ihren Beschäftigten aufgeteilt werden. Dafür werden Energiepreisänderungen auf Unternehmensebene und die daraus resultierenden Veränderungen im Unternehmensertrag betrachtet. Wir finden heraus, dass höhere Energiepreise die Löhne drücken und dass ein Rückgang bei den Erträgen um 10% zu einem Rückgang der Löhne um 2% führt. Dieser Zusammenhang ist asymmetrisch, was bedeutet, dass die Löhne nicht von Senkungen der Energiepreise profitieren, aber durch Energiepreiserhöhungen sinken. Kleine Unternehmen geben Schwankungen im Ertrag stärker an die Beschäftigten weiter als Großunternehmen.

The recent advances in automation technology, robotics in particular, have sparked a heated debate over the future of labor and human society at large. The ongoing process of robotization may engender profound impacts on various segments of the labor market. Given the far-reaching implications of robots, it is thus very important to understand the scale and scope of robot use and characteristics of robot users. However, the main challenge is the limited availability of robot data at the microeconomic level (Raj and Seamans, 2018). Due to the data constraint, the bulk of the existing literature relies on cross-country industry-level data from the International Federation of Robotics (IFR). The lack of micro-level robot data makes it difficult to paint a comprehensive picture of robotization in industrial settings, and perhaps more importantly, to assess how within-industry firm level heterogeneity manifests itself in robot use and adoption.

This article examines how collective bargaining through unions and workplace codetermination through works councils relate to labor market imperfections and how labor market imperfections relate to employer wage premia. Based on representative German plant data for the years 1999-2016, the authors document that 70% of employers pay wages below the marginal revenue product of labor and 30% pay wages above that level. Findings further show that the prevalence of wage markdowns is significantly smaller when organized labor is present, and that the ratio of wages to the marginal revenue product of labor is significantly larger. Finally, the authors document a close link between labor market imperfections and mean employer wage premia, that is, wage differences between employers corrected for worker sorting.