Markus M. Grabka

Objective:To evaluate the socioeconomic patterns of SARS-CoV-2 antigen contacts through infection, vaccination or both (“hybrid immunity”) after 1 year of vaccination campaign.Methods:Data were derived from the German seroepidemiological Corona Monitoring Nationwide study (RKI-SOEP-2;n= 10,448; November 2021–February 2022). Combining serological and self-report data, we estimated adjusted prevalence ratios (PR) of SARS-CoV-2 infection, COVID-19 vaccination, basic immunization (at least two SARS-CoV-2 antigen contacts through vaccination and/or infection), and three antigen contacts by education and income.Results:Low-education groups had 1.35-times (95% CI 1.01–1.82) the risk of SARS-CoV-2 infection compared to high-education groups. COVID-19 vaccination (at least one dose) and basic immunization decreased with lower education and income. Low-education and low-income groups were less likely to have had at least three antigen contacts (PR low vs. high education: 0.74, 95% CI 0.65–0.84; PR low vs. high income: 0.66, 95% CI 0.57–0.77).Conclusion:The results suggest a lower level of protection against severe COVID-19 for individuals from low and medium socioeconomic groups. Pandemic response and vaccination campaigns should address the specific needs and barriers of these groups.

This study describes the first wave of the IAB-BiB/FReDA-BAMF-SOEP Survey on Ukrainian Refugees in Germany, a unique panel dataset based on over 11,000 interviews conducted between August and October 2022. The aim of the IAB-BiB/FReDA-BAMF-SOEP Survey is to provide a data-infrastructure for theory-driven and evidence-based research on various aspects of integration among Ukrainian refugees in Germany, the second most important destination country in the EU after Poland, hosting over a million people who arrived in Germany shortly after the Russian invasion of Ukraine. Based on the survey, this study also provides first insights into demographic, educational, linguistic, occupational, and social characteristics of this population. The analyses revealed that the refugee population comprised mostly young and educated individuals, with a significant proportion of females without partners and female-headed separated families. While German language skills were limited, about half of Ukrainian refugees had attended or were attending language courses. However, the integration process faced significant challenges, as the participation of children in day-care was relatively low, and the self-reported life satisfaction was markedly below the average of the German population. The study highlights the need for targeted policy measures to address such issues. Additionally, policies may aim at harnessing the high potential of the Ukrainian refugees for the German labor market. Given that a substantial proportion would like to stay in Germany permanently, policymakers should take note of these findings and aim to facilitate their long-term integration process to ensure that these refugees may thrive in Germany.

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 disadvantages. The objective of this study is to describe and compare the evolution of wage inequality for these two types of data. For this purpose, different sample restrictions are applied. The comparison without any harmonization of the data shows different levels and trends. When the information is largely harmonized, comparable trends and similar levels emerge.

Seit Kriegsbeginn sind mehr als eine Million Menschen aus der Ukraine nach Deutschland geflohen. Erste repräsentative Erkenntnisse über deren Lebenssituation und Zukunftspläne ermöglicht die Studie „Geflüchtete aus der Ukraine in Deutschland (IAB-BiB/FReDA-BAMF-SOEP-Befragung)“, eine gemeinsame Studie des Instituts für Arbeitsmarkt- und Berufsforschung (IAB), des Bundesinstituts für Bevölkerungsforschung (BiB), des Forschungszentrums des Bundesamts für Migration und Flüchtlinge (BAMF-FZ) und des Sozio-oekonomischen Panels (SOEP) am Deutschen Institut für Wirtschaftsforschung (DIW Berlin). Es wurden für diese Studie 11.225 geflüchtete Ukrainerinnen und Ukrainer in der Zeit zwischen August und Oktober 2022 befragt.

We examine the gender wealth gap with a focus on pension wealth and statutory pension rights. By taking into account employment characteristics of women and men, we are able to identify the extent to which the redistributive effect of pension rights reduces the gender wealth gap. The data for our analysis come from the German Socio-Economic Panel (SOEP), one of the few surveys that collects information on wealth and pension entitlements at the individual level. Pension wealth data are available in the SOEP for 2012 only. While the relative raw gender wealth gap is about 35% (or 31,000 euros) when analysing the standard measure of net worth, it shrinks to 28% when pension wealth is added. This reduction is due to redistributive elements such as caregiver credits provided through the statutory pension scheme. Results of a recentred influence functions (RIF) decomposition show that pension wealth reduces the gap substantially in the lower half of the distribution. At the 90th percentile, the gender wealth gap in net worth and in augmented wealth remains more stable at roughly 27–30%.

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.

This article describes the development of the needs-weighted net household income of persons in private households in Germany since the year 2000. It also focuses on the presentation of the prevalence and amount of credit debts of private households. The central result is that the share of repayments for loans in Germany has been declining overall since 2000. In particular, the share of households that spend more than 30 % of their household net income on loan repayments has halved over the last 20 years. Despite this overall positive development, there is a risk that the problem of over-indebtedness in Germany could increase again since on the one hand, many self-employed people have suffered high turnover losses due to the containment measures of the coronavirus pandemic, while on the other, the ECB could raise nominal interest rates due to tightened inflation, which would lead to a considerable financial burden for indebted households.