Wage Effects of On-the-Job Training: A Meta-Analysis

A meta-analysis is used to study the average wage effects of on-the-job training. This study shows that the average reported wage effect of on-the-job training, corrected for publication bias, is 2.6 per cent per course. The analyses reveal a substantial heterogeneity between training courses, while wage effects reported in studies based on instrumental variables and panel estimators are substantially lower than estimates based on techniques that do not correct for selectivity issues. Appropriate methodology and the quality of the data turn out to be crucial to determine the wage returns.on-the-job training, meta-analysis, publication bias

Wage effects of on-the-job training; a meta-analysis

A meta-analysis is used to study the average wage effects of on-the-job training. This study showsthat the average reported wage effect of on-the-job training, corrected for publication bias, is2.6 per cent per course. The analyses reveal a substantial heterogeneity between training courses,while wage effects reported in studies based on instrumental variables and panel estimators aresubstantially lower than estimates based on techniques that do not correct for selectivity issues.Appropriate methodology and the quality of the data turn out to be crucial to determine the wagereturns.labour economics ;

Wage effects of on-the-job training. A meta-analysis

A meta-analysis is used to study the average wage effects of on-the-job training. This study shows that the average reported wage effect of on-the-job training, corrected for publication bias, is 2.6 per cent per course. The analyses reveal a substantial heterogeneity between training courses, while wage effects reported in studies based on instrumental variables and panel estimators are substantially lower than estimates based on techniques that do not correct for selectivity issues. Appropriate methodology and the quality of the data turn out to be crucial to determine the wage returns.Economics ;

The role of innovations in secondary school performance - Evidence from a conditional efficiency model

This paper studies the influence of educational innovations on school performance. We apply a tailored, fully nonparametric conditional efficiency model to study secondary school efficiency in the netherlands. The application uses official school data and a self-collected questionnaire on recent innovations in schools. In the nonparametric model, it is assumed that schools aim to maximize educational attainments of students under a budget constraint. The results suggest that innovations are positively related to efficiency. We find that profiling, pedagogic, process and education chain innovations are significantly related to school efficiency, whereas innovations in the professionalization of teachers are insignificantly related to school efficiency. Furthermore, the number of locations per school and the number of schools per governing body are negatively and significantly related to school efficiency. School type and region significantly influence school efficiency, whereas share of disadvantaged students, degree of urbanization and student/teacher ratio do not have significant influence

Does residential mobility improve educational outcomes? Evidence from the Netherlands

This paper explores the impact of residential mobility on educational outcomes. By considering a large dutch city with substantial internal residential mobility, we examine how residential mobility influences the decision of students to drop out of school. The paper exploits a rich administrative dataset with extensive information on educational, individual, family, housing and moving characteristics of students. It combines a matching design with a multivariate regression analysis, such that the evaluation draws on a well-comparable control group for the treated students. Accounting for individual, family, educational, neighborhood and housing characteristics, as well as for school and year fixed effects, we observe that residential mobility increases the probability of school dropout in the first few years after moving. The estimated effect changes, however, to a lower risk of early school leaving after an initial period, and then changes again to a higher risk after 6 years. This effect remains, regardless the level of education the students attended, or whether the student moves to a better or a worse neighborhood

Effectively Involving Low-SES Parents in Human Capital Development: Evidence from a Field Experiment

In this paper we analyze the effect of involving parents in human capital investment. We study the effect of a parental app on student effort in a digital homework practice tool, and its effect on subsequent human capital development. The randomized field experiment includes more than 2000 7-9 grade students of 2 schools and we specifically focus on different socio-economic status (SES) groups. The results indicate that parental involvement via an app positively affects effort and human capital development of 7th and 8th grade students, but not of 9th grade students. The positive effects are mainly driven by low-SES students and are larger for males