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In this chapter, we investigate the effects of vulnerability on income and employment in Bosnia and Herzegovina, Croatia, Montenegro, and Serbia using a unique 2004 UNDP dataset. Treating the collapse of the former Yugoslavia as a natural experiment, we compare three groups that have been differently affected by the wars and post-war distress: the majority as the benchmark, the ex ante and ex post vulnerable Roma people, and the ex ante equal but ex post vulnerable refugees and internally displaced people (RIDPs). Our findings reveal significant negative effects of vulnerability on income and employment. RIDPs seem to be about as negatively affected as Roma across the four states, which indicate that vulnerability inflicted by relatively recent displacement may have similar effects as vulnerability rooted deep in the past. When we look at education as one of the key determinants of socio-economic outcomes, both groups exhibit similarly substandard educational outcomes of children and significant inertia in intergenerational transfer of human capital. Our findings highlight the need for policies that not only tackle vulnerability as such, but address the spillover effects of current vulnerability on future educational attainment.

The changes in women’s and men’s work lives have been considerable in recent decades. Yet much of the recent research on gender differences in employment and earnings has been of a more snapshot nature rather than taking a longer comparative look at evolving patterns. In this paper, we use 50 years (1964–2013) of US Census Annual Demographic Files (March Current Population Survey) to track the changing returns to human capital (measured as both educational attainment and potential work experience), estimating comparable earnings equations by gender at each point in time. We consider the effects of sample selection over time for both women and men and show the rising effect of selection for women in recent years. Returns to education diverge for women and men over this period in the selection-adjusted results but converge in the OLS results, while returns to potential experience converge in both sets of results. We also create annual calculations of synthetic lifetime labor force participation, hours, and earnings that indicate convergence by gender in worklife patterns, but less convergence in recent years in lifetime earnings. Thus, while some convergence has indeed occurred, the underlying mechanisms causing convergence differ for women and men, reflecting continued fundamental differences in women’s and men’s life experiences.

Early models of the functional distribution of income assume constant labor productivity among all individuals. Not until human capital theory developed did scholars take into account how productivity varied across workers. According to early human capital models, this variation came about because each individual invested differently in education and training. Those acquiring greater amounts of schooling and on-the-job training earned more. However, these models neglected why one person would get training while another would not. One explanation is individual heterogeneity. Some individuals are smarter, some seek risk, some have time preferences for the future over the present, some simply are lucky by being in the right place at the right time, and some are motivated by the pay incentives of the jobs they are in. This volume contains 10 chapters, each dealing with an aspect of earnings. Of these, the first three deal directly with earnings distribution, the next four with job design and remuneration, the next two with discrimination, and the final chapter with wage rigidities in the labor market.