Suchergebnisse

This paper provides causal evidence on long-term consequences of Jewish expulsions in Nazi Germany on the educational attainment and political outcomes of German children. We combine a unique city-level dataset on the fraction of Jewish population residing in Germany before the Nazi Regime with individual survey data from the German Socio-Economic Panel (GSOEP). Our identification strategy exploits the plausibly exogenous city-by-cohort variation in the Jewish population in Germany as a unique quasi-experiment. We find that the persecution of Jewish professionals had significant, long-lasting detrimental effects on the human capital and political development of Germans who were at school-age during the Nazi Regime. First, these children have 0.4 fewer years of schooling on average in adulthood. Second, these children are less likely to go to college or have a graduate degree. Third, they are less likely to have interest in politics as adults. These results survive using alternative samples and specifications, including controlling for Second World War, Nazi and Communist Party support and unemployment effects.

As the number of cases increases globally, governments and authorities have continued to use mobility restrictions that were, and still are, the only effective tool to control for the viral transmission. Yet, the relationship between public orders and behavioral parameters of social distancing observed in the community is a complex process and an important policy question. The evidence shows that adherence to public orders about the social distancing is not stable and fluctuates with degree of spatial differences in information and the level of risk aversion. This study aims to uncover the behavioural parameters of change in mobility dynamics in major Canadian cities and questions the role of people's beliefs about how contagious the disease is on the level of compliancy to public orders. Our findings reveal that the degree of social distancing under strict restrictions is bound by choice, which is affected by the departure of people's beliefs from the public order about how severe the effects of disease are. Understanding the dynamics of social distancing thus helps reduce the growth rate of the number of infections, compared to that predicted by epidemiological models.