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This paper provides an overview of economic inequality in Germany from the fourteenth to the nineteenth centuries. It represents the first attempt at reconstructing long-term trends in wealth inequality in a central European area. It builds upon the data produced by the German Historical School, which from the late nineteenth century pioneered inequality studies, but also adds new archival information for selected communities and areas. Overall during the early modern period inequality was found to be increasing, as seems to have been the case in most of the European continent, but with an important local specificity: the terribly destructive Thirty Years’ War (1618-48), together with the plague epidemic of 1627-29, are found to have caused a temporary but significant phase of reduction in inequality. This is in stark contrast to other European areas for which information is available, from Italy to the Low Countries, where during 1500-1800 inequality growth was monotonic. Some evidence of a drop in inequality is also found after the Black Death of 1348-49, but in at least part of Germany inequality growth seems to have resumed immediately after that plague. Our findings contribute to deepen and to nuance our knowledge of long-term inequality trends in preindustrial Europe, and offer new material to current debates on the determinants of inequality change in western societies, past and present.

Proportional electoral rules favour the election of women with respect to majoritarian ones. This is consistent with the fact that in majoritarian systems personal exposure of the candidate is more relevant than in proportional systems and that women tend to be averse to such exposure. To test the effects of electoral rules on women’s representation and the quality of politicians, we collect panel data on the universe of Italian politicians from all levels of government over the period 1987-2013 and analyse an Italian reform which, in 2005, changed the electoral rule for national elections from (mostly) majoritarian to proportional, but did not affect subnational level elections. We find that this reform increased the number of women elected, while not decreasing the quality of politicians. We provide evidence of a negative selection effect under proportional rules: the elected women are not the best candidates and the quality of elected politicians could have increased (rather than remain constant) if the best female candidates had been elected. Our results are stronger in gender traditional regions, suggesting that culture matters in terms of how electoral rules affect female political representation.

When exposed to similar migration flows, countries with different institutional systems may respond with different levels of openness. We study in particular the different responses determined by different electoral systems. We find that Winner Take All countries would tend to be more open than countries with PR when all other policies are kept constant, but, crucially, if we consider the endogenous differences in redistribution levels across systems, then the openness ranking may switch.

OBJECTIVE: In this study we test whether perceived stability of employment and perceived resilience to potential job loss affect fertility intentions, net of individual level risk attitudes and considering variation in the local macroeconomic conditions. BACKGROUND: The role of employment uncertainty as a fertility driver has been explored in a number of studies with a limited set of constructs, and with inconclusive results. A key reason for this heterogeneous pattern is that scholars did not recognize the multidimensionality and the prospective nature of employment uncertainty. We address these oversights by considering two key dimensions of employment uncertainty: perceived stability of employment and perceived resilience to potential job loss. METHOD: Our study is conducted using the newly-released 2017 OECD Italian Trustlab survey and its built-in module on self-assessed employment uncertainty (N=521). We perform multivariate analysis using ordered logistic regression. RESULTS: Perception of employment resilience was a powerful predictor of fertility intentions, whereas perception of employment stability had only a limited impact. The observed relationship between resilience and fertility intentions was robust to the inclusion of person-specific risk attitude and it did not depend on aggregate-level variables, such as unemployment and fixed-term contract rates in the area of residence. CONCLUSION: With this paper, we argue that the notion of resilience is crucial for making sense of economic prospects in connection to fertility planning.

Recent developments in applications of network analysis to history are leading to a new way of thinking about how social and economic actors interacted in the past. Focus on the social tie has resulted in increased interest in relational instruments that have not previously been taken into great consideration. This article analyses some of these instruments, and particularly godparenthood and marriage witnessing, as ways to establish formal and public ties. It shows that formalisation, ritualisation and publicity of ties were used by entrepreneurs to establish trust with their business associates, in situations when information was asymmetric or when institutions were perceived as inefficient in guaranteeing mutual good behaviour. The paper underlines both factors of continuity and factors of change over time, from the Middle Ages to today, paying particular attention to the consequences of Reformation and Counter-Reformation on one hand, and of Industrial Revolution and Modernization on the other. It shows, in the light of the most recent literature, that much of what we think to know about the declining importance, for social and economic activity, of family ties and of weaker ties such as godparenthood, is actually a kind of prejudice originating from a twentieth-century ideology of the market in which ancient practices struggle to find a place but are not abandoned.

Discussion on the disproportionate impact of COVID-19 on African Americans has been at center stage since the outbreak of the epidemic in the United States. To present day, however, lack of race-disaggregated individual data has prevented a rigorous assessment of the extent of this phenomenon and the reasons why blacks may be particularly vulnerable to the disease. Using individual and georeferenced death data collected daily by the Cook County Medical Examiner, we provide first evidence that race does affect COVID-19 outcomes. The data confirm that in Cook County blacks are overrepresented in terms of COVID-19 related deaths since—as of June 16, 2020—they constitute 35 percent of the dead, so that they are dying at a rate 1.3 times higher than their population share. Furthermore, by combining the spatial distribution of mortality with the 1930s redlining maps for the Chicago area, we obtain a block group level panel dataset of weekly deaths over the period January 1, 2020-June 16, 2020, over which we establish that, after the outbreak of the epidemic, historically lower-graded neighborhoods display a sharper increase in mortality, driven by blacks, while no pretreatment differences are detected. Thus, we uncover a persistence influence of the racial segregation induced by the discriminatory lending practices of the 1930s, by way of a diminished resilience of the black population to the shock represented by the COVID-19 outbreak. A heterogeneity analysis reveals that the main channels of transmission are socioeconomic status and household composition, whose influence is magnified in combination with a higher black share.

Using age specific fertility rates of Italian and Swedish women aged between 15 and 49 years old I examine the presence of fertility postponement in period and cohort outputs. Period data consist of standard five-year age group rates ranging from 1960 to 2005. Cohort data are arranged on age specific year groups born between years 1930-1970. The method used in this work is based upon quadratic spline interpolation procedure, developed by Carl P. Schmertmann (2003), in which three index ages determine the schedules shape. The recent fertility postponing behavior is investigated through the help of five index ages, which show the dynamics of postponement both in cohort and period data.

We study a setting where anti-discrimination legislation gives rise to adverse selection in the labor market. Firms rely on nonlinear compensation contracts to screen workers who differ in their family/career orientation. This results in a la- bor market equilibrium where career-oriented workers are offered an inefficiently low duration of parental leave. In addition, family-oriented workers are offered lower wages as compared to their equally skilled career-oriented counterparts. We demonstrate the usefulness of mandatory parental leave rules in mitigating the distortion in the labor market and derive conditions under which a Pareto im- provement is possible. We also characterize the optimal parental leave policy and highlight the possibility for parental leave legislation to eliminate the wage penalty of family-oriented workers by supporting pooling employment contracts.

The generous Nordic model of welfare is commonly viewed as an exceptional success, in terms of both equality and economic growth. However, it recently became evident that subgroups of the population with weak labour market attachment and high welfare dependency, such as lone mothers, were vastly overrepresented among the poor. This prompted a workfare reform of the Norwegian welfare system for lone mothers: activity requirements were brought in, time limits imposed and benefit levels raised. To evaluate the reform we introduce an estimator that, unlike the much used difference-in-difference approach, accounts for the fact that policy changes are typically phased in gradually rather than coming into full effect immediately. The results were striking: the workfare reform has not only led to increased earnings and educational attainment but also reduced poverty.

The aim of this paper is to assess the quality of the ranking of institutions obtained with multilevel techniques in presence of different model misspecifications and data structures. Through a Monte Carlo simulation study, we find that it is quite hard to obtain a reliable ranking of the whole effectiveness distribution while, under various experimental conditions, it is possible to identify institutions with extreme performances. Ranking quality increases with increasing intra class correlation coefficient and/or overall sample size. Furthermore, multilevel models where the between and within cluster components of first-level covariates are distinguished perform significantly better than both multilevel models where the two effects are set to be equal and the fixed effect models.