JBNST - Vol. 243/3-4 - 2023

In this paper, we zoom in on the firm level of German merchandise foreign trade, using a novel data base with information on the export and import value by firm, country, product and year for the period 2011–2019. Problems arising from the consolidated reporting of taxable entities and the reporting thresholds present in intra-EU trade have been largely eliminated through redistributions conducted by DESTATIS. Using the data, we examine how global German firms are by looking at the joint distribution of the number of products they trade and the number of countries they trade with. Moreover, we examine the importance of firms mainly engaged in trade intermediation, as opposed to production. Most importantly, we provide a rich description of heterogeneity among German firms by decomposing their trade relationships into intensive margins (value of trade) and extensive margins (number of firms, products and countries). We describe the distributions for each margin, distinguishing intra-EU and extra-EU trade as well as different firm types (producers, wholesalers, retailers). Finally, we reveal strong positive correlations between and within importing and exporting margins, supporting the presence of firm-level complementarities implied by recent theory.

Poor coverage of top incomes in surveys, also referred to as the “missing rich” problem, leads to severe underestimation of income inequality. At the regional level this shortcoming is even more eminent due to small regional sample sizes. Tax records contain more accurate income information at the top and cover all regions equally well. Top-income correction approaches tackle the missing rich problem by imputing top incomes from tax to survey data. While existing methods focus on adjustments at the national level, our paper provides corrections of the regional income distributions in survey data by exploiting the tax data’s regional variability. We impute top incomes in the survey data from the German Microcensus based on region-specific Pareto and generalized Pareto distributions estimated from tax records. The combined survey and tax data provide new estimates of regional income inequality in Germany. Our findings indicate that inequality between and within the regions is much larger than previously understood with the magnitude of the adjustment depending on the federal states’ level of inequality in the tail.

The manufacturing sector accounts for a substantial share of the German gross domestic product, employment and carbon emissions. Therefore, reducing its energy use and carbon emissions is of crucial importance to Germany’s energy Transition. In this paper, we analyse energy use patterns in German manufacturing between 2003 and 2017, using rich administrative micro-data. We find that although the manufacturing sector has been faced with rising energy costs as a share of total costs, energy use has not declined except briefly during the economic crisis. We also find that energy intensity, and to a larger degree, carbon intensity follow a decreasing trend between 2003 and 2017. The stronger response of the latter variable can be attributed to changes in the fuel mix.

In this article, we examine structural changes in minimum wage and low wage labor following the introduction and first increase of the German minimum wage. Changes in the impact that workers face earning gross hourly wages below the minimum-wage or low-wage thresholds are identified by comparing individual, company and sectoral characteristics based on the Structure of Earnings Surveys (SESs) 2014 and 2018. The SES is a mandatory survey of companies that provides information on wages and working hours for approximately 1 million jobs and nearly 70,000 companies across all industries. Using these rich data, we present the first systematic analysis of how structural changes in individual-, company-, and industry-level determinants affect minimum- and low-wage workers. Using descriptive analysis, we first summarize the changing pattern in jobs, companies, and industries after the introduction of minimum wage. Second, we use random intercept-only models to estimate the explanatory power at the individual, company, and industry levels in 2014 and 2018. Third, we perform logistic and linear regression estimations to assess the changing trends in having a minimum- or low-wage job and the distance between a worker’s actual earnings and the minimum- and low-wage thresholds. We conclude that the minimum wage had an elevator effect on minimum wage labor. However, compositional effects regarding the minimum-wage and low-wage workforce were evident in terms of individual and company factors. There was a selective redistribution of minimum wage employees into slightly higher wage ranges. Furthermore, convergence seems to have occurred predominantly among sectors, as their explanatory power for lower wages declined.

Micro-data on robots have been very sparse in Germany so far. Consequently, a dedicated section has been introduced in the IAB Establishment Panel 2019 that includes questions on the number and type of robots used. This article describes the background and development of the survey questions, provides information on the quality of the data, possible checks and steps of data preparation. The resulting data is aggregated on industry level and compared with the frequently used robot data by the International Federation of Robotics (IFR) which contains robot supplier information on aggregate robot stocks and deliveries.

I present the first database of historical local population figures for all Germany. The German Local Population Database (GPOP) includes total population in 1871, 1910, 1939, 1946, 1961, 1987, 1996, 2011, and 2019 for the universe of all German municipalities, counties, and states at consistent contemporary boundaries (31 December 2019). The database was hand-collected and assembled from more than 50 sources. The data reflect 150 years of regional development and disparities in Germany. For example, East and West Germany are heavily diverging in population since 1945; and the divide was not reversed but even doubled after reunification.

SARS-CoV-2, the coronavirus, spread across Germany within just a short period of time. Seroepidemiological studies are able to estimate the proportion of the population with antibodies against SARS-CoV-2 infection (seroprevalence) as well as the level of undetected infections, which are not captured in official figures. In the seroepidemiological study Corona Monitoring Nationwide (RKI-SOEP-2), biospecimens and interview data were collected in a nationwide population-based subsample of the Socio-Economic Panel (SOEP). By using laboratory-analyzed blood samples to detect antibodies to the SARS-CoV-2 virus, we were able to identify a history of vaccination or infection in study participants. By combining these results with survey data, we were able to identify groups within the population that are at increased risk of infection. By linking the RKI-SOEP-2 survey data with data from other waves of the SOEP survey, we will be able to examine the medium- to long-term impacts of the COVID-19 pandemic, including effects of long COVID, in diverse areas of life. Furthermore, the data provide insight into the population’s willingness to be vaccinated as well as related attitudes and conditions. In sum, the RKI-SOEP-2 survey data offer a better understanding of the scope of the epidemic in Germany and can help in identifying target groups for infection control in the present and future pandemics.

The ZEW Financial Market Survey is a monthly panel survey among financial market experts that was launched in December 1991. The survey focuses on the experts’ expectations about international financial markets and macroeconomic developments. We describe the ZEW Financial Market Survey and the resulting research dataset, which is available for free for academic researchers, is large and includes long individual time series (99,001 responses by 2002 respondents, as of September 2021), and contains rich information on the financial market experts collected over the years and which can be combined with the data on expectations.