This paper studies the labor market impact of structural change by distinguishing between industry- and occupation-based measures of manufacturing and service employment. Using German data from 1975–2019, we find that 67% of manufacturing jobs lost in manufacturing industries are offset by new manufacturing jobs in service industries. Linking these aggregate patterns to worker-level outcomes, we show ...
World Economic Outlook Chapter on industrial policies Countries are increasingly using industrial policy to reshape their economies by supporting strategic sectors and firms. Motivations include boosting productivity, reducing reliance on imports—especially in energy—and enhancing resilience. Industrial policies can help jump-start domestic industries, but their efficacy is sensitive to sector...
As professional exchange is a prerequisite for excellence in research, policy consulting, early career development and infrastructure provision, it plays an important role in DIW Berlin’s work. National and international networks enrich the institute’s scientific research while holding researchers to global academic standards. DIW Berlin’s research departments and SOEP actively partake in collaborative ...
We describe the joint permanent health distribution of parents and children in Germany using 25 years of data from the Socio-Economic Panel. We derive three main results: First, a ten percentile increase in parental permanent health is associated with a 2.3 percentile increase in their child’s health. Second, employing our anchoring method, we find that a percentile point increase in permanent health ...
This study explores the relationship between artificial intelligence (AI) and workers’ wellbeing and mental health using longitudinal survey data from Germany (2000-2020). We construct a measure of individual exposure to AI technology based on the occupation in which workers in our sample were first employed and explore an event study design and a difference-in-differences approach to compare AI-exposed ...
Diese Dissertation beschäftigt sich mit Methoden zur Behandlung von nicht-ignorierbaren fehlenden Daten und Stichprobenverzerrungen – zwei häufig auftretenden Problemen bei der Analyse von Umfragedaten. Beide Datenprobleme können die Qualität der Analyseergebnisse erheblich beeinträchtigen und zu irreführenden Inferenzen über die Population führen. Daher behandle ich innerhalb von drei verschiedenen ...
The price of institutional long-term care is a key determinant of the demand for both formal and informal long-term care. In this paper, we examine how the regional unemployment rate as a proxy for macroeconomic conditions influences these prices. Our analysis draws on administrative data that provide detailed information on all nursing homes and ambulatory care services, as well as all recipients ...
Health information about vaccinations is communicated via various sources of information and is crucial for vaccination decisions. Information sources such as interpersonal sources, traditional print and digital media as well as social media offer information about the risks and benefits of vaccination. During health crises such as the COVID-19 pandemic was, some information sources provide hanging ...
An increasing number of social science surveys use split questionnaire designs to reduce questionnaire length, presenting only a subset of several questionnaire modules to each respondent while leaving out others. This approach results in large amounts of planned missing data that necessitates imputation. Research shows that imputation is most effective when each module covers various topics. Yet, ...
