The IAB’s Sample of Integrated Labour Market Biographies (SIAB) and the Socio-Economic Panel (SOEP) are the two data sets most commonly used to analyze wage inequality in Germany. While the SIAB is based on administrative reports by employers to the social security system, the SOEP is a survey data set in which respondents self-report their wages. Both data sources have their specific advantages and ...
Social mobility and equal opportunity are key to thriving societies and economies. In the aftermath of the pandemic and in the context of increasing prices, calls for policymakers to address social and economic inequalities are intensifying. The recently launched Observatory on Social Mobility and Equal Opportunity not only brings together all OECD data points, but also displays the impact of...
Energy prices have risen sharply as a result of the coronavirus pandemic as well as the Russian attack on Ukraine in February 2022. The resulting consumer price inflation is forcing the European Central Bank (ECB) to act in accordance with its mandate. However, the ECB expresses doubts that it will be able to have an impact on the price increases. As this Weekly Report based on an analysis of structural ...
Health shocks limit individuals’ participation in the labor market and pose a major risk to household welfare. In this paper, we derive two novel health shock indicators using machine learning based on sick days and hospitalizations: one for transitory and one for persistent shocks. In an event study framework, we show their respective effects on employment, yearly working hours, and labor earnings, ...
Survey evidence shows that the magnitude of the tax liability plays a role in value judgements about which groups deserve tax breaks. We demonstrate that the German tax-transfer system conflicts with a welfarist inequality averse social planner. It is consistent with a planner who is averse to both inequality and high tax liabilities. The tax-transfer schedule reflects non-welfarist value judgements ...
The outbreak of COVID‐19 has sparked a sudden demand for fast, frequent and accurate data on the societal impact of the pandemic. This demand has highlighted a divide in survey data collection: Most probability‐based social surveys, which can deliver the necessary data quality to allow valid inference to the general population, are slow, infrequent and ill‐equipped to survey people during a lockdown. ...
