The Mannheim Enterprise Panel linked to the Establishment History Panel (MUP-BHP) is made up of cross-sectional data sets from 2010 onwards. Each cross-section includes all limited liability companies (GmbH) from the Mannheim Company Panel (MUP) and their permanent establishments throughout Germany that are recorded in the Establishment History Panel (BHP) (BeH) as of 31.12. This linking of establishments and businesses is based on a record linkage of the address data of the MUP held by the Leibniz Centre for European Economic Research and the business address data at the IAB. The individual cross-sectional data sets contain information on the establishments and companies as well as an additional file on shareholders. The data sets can be linked to form a panel. This data report describes the Mannheim Enterprise Panel linked to the Establishment History Panel (MUP-BHP) 2010-2020.

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.

We study changes in business dynamism in Europe after 2000 using novel micro-aggregated data that we collected for 19 European countries. In all countries, we document a broad-based decline in job reallocation rates that concerns most economic sectors and size classes. This decline is mainly driven by dynamics within sectors, size, and age classes rather than by compositional changes. Large and mature firms experience the strongest decline in job reallocation rates. Simultaneously, the employment shares of young firms decline. Consistent with US evidence, firms’ employment has become less responsive to productivity shocks. However, the dispersion of firms’ productivity shocks has decreased too. To enhance our understanding of these patterns, we derive and apply a novel firm-level framework that relates changes in firms’ sales, market power, wages, and production technology to firms’ responsiveness and job reallocation.

We study the impact of stricter and more harmonized banking regulation along the income distribution using household survey data for 25 EU countries. Exploiting country-level heterogeneity in the implementation of European Banking Union directives allows us to control for confounders and identify effects. Our results show that these regulatory reforms aimed at increasing financial system resilience affected households heterogeneously. More stringent regulation reduces income growth for low-income households due to employment exits. Yet it tends to increase growth rates at the top of the distribution both for employee and self-employed income.

I study how labor market power affects firm wage differences using German manufacturing sector firm-level data (1995-2016). In past decades, labor market power increasingly moderated rising between-firm wage differences. This is because high-paying firms possess high and increasing labor market power and pay wages below competitive levels, whereas low-wage firms pay competitive or even above competitive wages. Over time, large, high-wage, high-productivity firms generate increasingly large labor market rents while charging comparably low product markups. This provides novel insights on why such top firms are profitable and successful. Using micro-aggregated data covering most economic sectors, I validate key results for multiple European countries.

While access to high-quality microdata is essential for economic research and policy evaluation, effective access to such data remains limited in Europe. It varies from country to country, with uneven information on access procedures. This is a major obstacle to social science research, including research on European competitiveness and the effects of climate change, inequality, globalization, and digitalization. The objective of this paper, which is based on a brainstorming exercise coordinated by CEPR and CompNet, is to assess the status quo and discuss a series of proposals for improving access to Microdata for economic research. We underline the need for developing the relevant tools for extended access to and use of European business statistics microdata. Building such tools entails both establishing the requested microdata and creating a body facilitating cross-country access to the established databases with harmonized content.