Do Immigrants Suffer More From Job Loss? Unemployment and Subjective Well-being in Germany

This study asks whether immigrants suffer more from unemployment than German natives. Differences between these groups in pre-unemployment characteristics, the type of the transition into unemployment, and the consequences of this transition suggest that factors intensifying the negative impact of unemployment on subjective well-being are more concentrated in immigrants than in natives. Based on longitudinal data from the German Socio-Economic Panel Study (1990–2014; N = 34,767 persons aged 20 to 64; N = 210,930 person-years), we used fixed-effects models to trace within-person change in subjective well-being across the transition from employment into unemployment and over several years of continued unemployment. Results showed that immigrants’ average declines in subjective well-being exceeded those of natives. Further analyses revealed gender interactions. Among women, declines were smaller and similar among immigrants and natives. Among men, declines were larger and differed between immigrants and natives. Immigrant men showed the largest declines, amounting to one standard deviation of within-person change over time in subjective well-being. Normative, social, and economic factors did not explain these disproportionate declines. We discuss alternative explanations for why immigrant men are most vulnerable to the adverse effects of unemployment in Germany.     

Maximum flows in generalized processing networks

Processing networks (cf. Koene in Minimal cost flow in processing networks: a primal approach, 1982) and manufacturing networks (cf. Fang and Qi in Optim Methods Softw 18:143–165, 2003) are well-studied extensions of traditional network flow problems that allow to model the decomposition or distillation of products in a manufacturing process. In these models, so called flow ratios \(\alpha _e \in [0,1]\) are assigned to all outgoing edges of special processing nodes. For each such special node, these flow ratios, which are required to sum up to one, determine the fraction of the total outgoing flow that flows through the respective edges. In this paper, we generalize processing networks to the case that these flow ratios only impose an upper bound on the respective fractions and, in particular, may sum up to more than one at each node. We show that a flow decomposition similar to the one for traditional network flows is possible and can be computed in strongly polynomial time. Moreover, we show that there exists a fully polynomial-time approximation scheme (FPTAS) for the maximum flow problem in these generalized processing networks if the underlying graph is acyclic and we provide two exact algorithms with strongly polynomial running-time for the problem on series–parallel graphs. Finally, we study the case of integral flows and show that the problem becomes \({\mathcal {NP}}\)-hard to solve and approximate in this case.     

Gender Differences in Subjective Well-Being: Comparing Societies with Respect to Gender Equality

These analyses explore the relationship between gender inequality and subjective well-being. The hypothesis was tested as to whether societal gender inequality is related to the size of gender differences in subjective well-being in various societies. Results come from comparative data sets (World Values Survey, involving 57 countries; OASIS project, involving Norway, England, Germany, Spain and Israel). The size of gender differences varied with the extent of societal gender inequality and the cultural attitudes regarding gender equality in different countries. Including individual resources like education and income in the analyses reduced the size of gender and country differences. Gender differences in subjective well-being could therefore be related to gender specific access to goal relevant resources.     

Parents' Death and Adult Well‐being: Gender,Age, and Adaptation to Filial Bereavement

The authors investigated how filial bereavement affects the subjective well‐being of adult children. They used data from the German Socio‐Economic Panel Study to examine temporal profiles of life satisfaction in 2,760 adult children ages 17–70 who moved through the stages of anticipation of, reaction to, and adaptation to a parent's death. Fixed effects models covering up to 11 yearly measurements per respondent revealed that the negative effects of parental loss on life satisfaction varied substantially by gender and age. First, daughters who lost their mothers experienced the deepest drops in life satisfaction. Second, negative effects were stronger if filial bereavement was “off time”: children who lost a parent in younger adulthood experienced steeper declines in life satisfaction. Daughters who are untimely bereaved of their mothers did not fully adapt even several years after the death.     

Bildung und Übergang in den Ruhestand

On the basis of administrative data from the Research Data Centre (FDZ-RV) of the German Federal Pension Insurance, we examine the effects education has on the timing of retirement for employees in East and West Germany in 2007. The large sample size of the Scientific Use File of the pension inflow statistics (n = 29933) allows a differentiated analysis considering multiple dimensions. Using key demographic indicators such as sex, region, length of career and pension payments, we demonstrate the effects of the level of education on the age of retirement, measured in years between 60 and 65 or older. Our analysis shows that high skilled retire later than low skilled employees. The difference is smaller than one year. But the beginning of the high skilled careers is round about two years later, with higher pension payments. Based on this findings, we discuss to which extent skills can lengthen the lifetime career with respect to pull and push factors.     

Between Mechanism Talk And Mechanism Cult: New Emphases in Explanatory Sociology And Empirical Research

The study of mechanisms has received increased attention in recent years and contributed to the formation of so-called ‘analytical sociology’ that has put the idea of social mechanisms at its core. We discuss the crucial characteristics of mechanism-based explanations and their relation to the longstanding tradition of explanatory sociology. Looking at the widespread and growing number of references to ‘mechanisms’ in the current research literature, we identify typical deviations from the ideal of a mechanism-based explanation. Many references come down to mechanism talk insofar as it is not explicated in detail how and why particular inputs tend to result in particular outputs. To this end, researchers have to give a detailed verbal account of how exactly a mechanism is thought to unfold under specified conditions, or to specify a formal generative model which can be analysed analytically or by simulation. This agenda has been at the core of methodological individualism, sociological rational choice theory, and explanatory sociology for some time, but has received a new coat of whitewash by analytical sociology. This more recent theoretical movement offers a fresh problem-centred agenda based on the well-known macro-micro-macro model and could inspire a new generation of research that places greater weight on analysing social dynamics than on developing theories of action. However, we submit that, rather than constituting a competing approach, these impulses should be located within the longstanding and multifaceted explanatory agenda in sociology. Avoiding any form of mechanism cult and choosing from the full toolbox of explanatory/analytical sociology will be crucial to answer key questions in established areas of sociological research.     

Ambiguity in the Cross-Section of Expected Returns: An Empirical Assessment

This article estimates and tests the smooth ambiguity model of Klibanoff, Marinacci, and Mukerji based on stock market data. We introduce a novel methodology to estimate the conditional expectation, which characterizes the impact of a decision maker’s ambiguity attitude on asset prices. Our point estimates of the ambiguity parameter are between 25 and 60, whereas our risk aversion estimates are considerably lower. The substantial difference indicates that market participants are ambiguity averse. Furthermore, we evaluate if ambiguity aversion helps explaining the cross-section of expected returns. Compared with Epstein and Zin preferences, we find that incorporating ambiguity into the decision model improves the fit to the data while keeping relative risk aversion at more reasonable levels. Supplementary materials for this article are available online.