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This book offers a comprehensive empirical analysis of continuing vocational training in Germany. Specific issues concerning continuing training that are debated in academia as well as in public are discussed. Wage and productivity effects of training are analyzed, explicitly accounting for the heterogeneity of training participants. In addition, evidence is given on whether positive externalities of continuing training exist.

Empirical work on continuing training in Germany provides surprisingly divergent evidence on the incidence of training. This makes comparison of econometric analyses of the impact of training on labour market outcomes di?cult. Three large German data sets are used here to bring to light the data issue concerning continuing training. Differences in the definition and consequences for economic research are discussed. In detail, training incidence, determinants of training and the correlation between continuing vocational training and wages are examined. Results are compared in order to analyse in how far differences in estimated wage effects of continuing vocational training are due to the data set used and to how the training variable is set up.

This paper considers training, mobility decisions and wages together to test for the specificity of human capital contained in continuing training courses. We empirically analyse the relationship between training, mobility and wages in two ways. First, we examine the correlation between training and mobility. In a second step, we consider wage effects of mobility taking training participation into account. First, we find that training participation is negatively correlated with the mobility decision and that training participation decreases the probability of individuals to change the job. Second, we find that wages are lower for job changers for the group of training participants, so wages decrease when trained individuals are mobile. Finally, training participation negatively affects the individuals's subjective valuation of the quality of their last job change. Taken together, these results suggest that there is some specific human capital, which is incorporated into training and lost when moving between jobs.

AbstractWorker remittances constitute an increasingly important channel for the transfer of resources to developing countries. Behind foreign direct investment, remittances are the second‐largest source of external funding for developing countries. Yet, literature on worker remittances has traditionally focused on the impact of remittances on income distribution within countries, on the determinants of remittances at a micro‐level, or on the effects of migration and remittances for specific countries or regions. Macroeconomic determinants and effects of remittances have received more attention only recently. Hence, the focus of this paper is on the macroeconomic determinants of remittances and on differences in these determinants between remittances and other capital flows. We find that remittances respond more to demographic variables while private capital flows respond more to macroeconomic conditions.

On the basis of a theoretical model, we argue that higher aggregate unemployment affects individual returns to education. We therefore include aggregate unemployment and an interaction term between unemployment and the individual education level in a standard Mincer equation. Our results show that an increase in regional unemployment by 1% decreases the returns to education by 0.005 percentage points. This implies that higher skilled employees are better sheltered from labour market changes with respect to their jobs but encounter larger wage changes than less skilled employees. Differences in regional unemployment can in addition almost fully explain the observed large differences in regional returns to education. We use representative individual data and regional panel variation in unemployment between different German regions and for different employee groups. We demonstrate that our results are robust with respect to aggregation bias, time lags and potential endogeneity of the unemployment variable.