Abstract. The causes and consequences of the intergenerational persistence of inequality are a topic of great interest among various fields in economics. However, until now, issues of data availability have restricted a broader and cross-national perspective on the topic. Based on rich sets of harmonized household survey data, we contribute to filling this gap computing time series for several indexes of relative and absolute intergenerational education mobility for 18 Latin Ameri can countries over 50 years, and making them publicly available. We find that intergenerational mobility has been rising in Latin America, on average. This pattern seems to be driven by the high upward mobility of children from low-educated families; at the same time, there is substantial immobility at the top of the distribution. Significant cross-country differences are observed and are associated with income inequality, poverty, economic growth, public educational expenditures and assortative mating.JE L D63, I24, J62, O15.

The rapid spread of COVID-19 forced policy-makers to swiftly find solutions to reduce infection rates and keep mortality as low as possible. Empirical analyses on the effectiveness of control measures are hereby of primary importance. School closures were among the earliest measures enacted by the governments of most countries. However, while schools are now reopening in many countries, the impact of school closures on the course of the epidemic is still an open question. Adopting parametric and non-parametric synthetic control methods we estimate the effectiveness of pro-active school closures, and other early social distancing interventions, in three countries that reacted relatively early during the course of the pandemic. Our findings suggest that these interventions were effective at reducing the mortality rate of COVID-19, especially when enacted early.

The shock on human capital caused by COVID-19 is likely to have long lasting consequences, especially for children of low-educated families. Applying a counterfactual exercise we project the effects of school closures and other lockdown policies on the intergenerational persistence of education in 17 Latin American countries. First, we retrieve detailed information on school lockdowns and on the policies enacted to support education from home in each country. Then, we use these information to estimate the potential impact of the pandemic on schooling, high school completion, and intergenerational associations. In addition, we account for educational disruptions related to household income shocks. Our findings show that, despite that mitigation policies were able to partly reduce instructional losses in some countries, the educational attainment of the most vulnerable could be seriously affected. In particular, the likelihood of children from low educated families to attain a secondary schooling degree could fall substantially.

Using harmonized household survey data, we analyze long‐run social mobility in the United States, the United Kingdom, and Germany, and test recent theories of multigenerational persistence of socioeconomic status. In this country comparison setting, we find evidence against a universal law of social mobility. Our results show that the long‐run persistence of socioeconomic status and the validity of a first‐order Markov chain in the intergenerational transmission of human capital is country‐specific. Furthermore, we find that the direct and independent effect of grandparents' social status on grandchildren's status tends to vary by gender and institutional context.

Devising appropriate policy measures for the integration of refugees is high on the agenda of many governments. This paper focuses on the social integration of families seeking asylum in Germany between 2013 and 2016. Exploiting differences in services availability across counties as an exogenous source of variation, we evaluate the effect of early education attendance by refugee children on their parents' integration. We find a significant and substantial positive effect, in particular on the social integration of mothers. The size of the estimate is on average around 52% and is mainly driven by improved language proficiency and employment prospects.

We show that measures of inequality of opportunity (IOP) fully consistent with the IOP theory of Roemer (1998) can be straightforwardly estimated by adopting a machine learning approach, and apply our method to analyze the development of IOP in Germany during the past three decades. Hereby, we take advantage of information contained in 25 waves of the Socio‐Economic Panel. Our analysis shows that in Germany IOP declined immediately after reunification, increased in the first decade of the century, and slightly declined again after 2010. Over the entire period, at the top of the distribution we always find individuals who resided in West Germany before the fall of the Berlin Wall, whose fathers had a high occupational position, and whose mothers had a high educational degree. East German residents in 1989, with low‐educated parents, persistently qualify at the bottom.

This series presents research findings based either directly on data from the German SocioEconomic Panel Study (SOEP) or using SOEP data as part of an internationally comparable data set (e.g. CNEF, ECHP, LIS, LWS, CHER/PACO). SOEP is a truly multidisciplinary household panel study covering a wide range of social and behavioral sciences: economics, sociology, psychology, survey methodology, econometrics and applied statistics, educational science, political science, public health, behavioral genetics, demography, geography, and sport science.The decision to publish a submission in SOEPpapers is made by a board of editors chosen by the DIW Berlin to represent the wide range of disciplines covered by SOEP. There is no external referee process and papers are either accepted or rejected without revision. Papers appear in this series as works in progress and may also appear elsewhere. They often represent preliminary studies and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be requested from the author directly.Any opinions expressed in this series are those of the author(s) and not those of DIW Berlin.Research disseminated by DIW Berlin may include views on public policy issues, but the institute itself takes no institutional policy positions. Abstract. Past studies have found that parental background has a considerable impact on educational decisions. Our knowledge is, however, still limited regarding educational transitions later in life, such as into tertiary education. Is parental background a predominant factor in this relatively late educational decision, or do individual talent and determination have an impact of their own? We address this question by decomposing the probability of success -regarded by rational choice models in sociology as a major component in the explanation of educational choices -as a function of observable and unobservable characteristics, using school grades and subjective perceptions about future educational success. To control for the overall effect of family background, a sibling analysis is performed. The data is derived from the German Socioeconomic Panel (SOEP), where we can follow those pupils who participated in the survey at the age of 17 later in life. Our results are twofold. Parental background (through school grades) exerts a strong influence at the time of transition to university; however, subjective perceptions also have an effect that is independent of parental background.

Antibiotic resistance represents a major global concern. The rapid spread of opportunistically pathogenic carbapenemase-encoding bacteria (CEB) requires clinicians, researchers, and policy-makers to swiftly find solutions to reduce transmission rates and the associated health burden. Epidemiological data is key to planning control measures. Our study aims to contribute by providing an analysis of 397 unique CEB isolates detected in a tertiary hospital in Germany. We propose new findings on demographic variables to support preventive sanitary precautions in routine clinical practice. Data on detected CEB was combined with patient’s demographic and clinical information for each isolate. Multiple regression techniques were applied to estimate the predictive quality of observed differences. Our findings confirm the role of age and gender in CEB colonization patterns and indicate a role for ethnicity and domicile. Also, carbapenemase-encoding A. baumannii was most frequently introduced to the hospital, while the risk of colonization with VIM-encoding P. aeruginosa rose with the length of hospital stay. P. aeruginosa remains an important complication of prolonged hospital stays. The strong link to hospital-wastewater may have implications for hospital-built environments. A. baumannii can be efficiently controlled from spreading at hospital admission. OXA-encoding CEB being harder to detect in routine screening, targeted preventive measures, such as culture media selective for carbapenem-resistant bacteria, would be opportune for patients from selected regions. The CEB differences linked to ethnicity found in our study may further be supporting the tailoring of diagnostic approaches, as well as health policies upon confirmation by other studies and a better understanding of their global distribution.