Measures of Active Labor Market Policy - such as training, wage subsidies, public employment measures, and job search assistance - are widely used in European countries to combat unemployment. Little, however, is known about what each country can learn from experiences in other countries. This study provides novel insight on this important policy issue by discussing the role of the European Commission's Employment Strategy, reviewing the experiences made in European states, and giving the first ever quantitative assessment of the existing cross-country evidence, answering the question "what labor market program works for what target group under what (economic and institutional) circumstances?." Using an innovative meta-analytical approach, the authors find that rather than contextual factors such as labor market institutions or the business cycle, it is almost exclusively the program type that matters for program effectiveness: While direct employment programs in the public sector appear detrimental, wage subsidies and "Services and Sanctions" can be effective in increasing participants' employment probability.

Measures of Active Labor Market Policy - such as training, wage subsidies, public employment measures, and job search assistance - are widely used in European countries to combat unemployment. This study provides novel insight on this important policy issue by discussing the role of the European Commission's Employment Strategy, reviewing the experiences made in European states, and giving the first ever quantitative assessment of the existing cross-country evidence.

Using newly collected and existing data and modern econometric approaches, this book analyses the gender wage gap as well as less explored dimensions of discrimination such as religion, sexual orientation, and physical appearance. Part One focuses on gender. Using a newly collected database for Italy, it analyses the relevance of transition from school to work, and in particular the choice of college major, in determining the gender earning gap. It also analyses the role of family and of discrimination on the job as a potential source of this gap, using additional data from Spain and the US. Part Two analyses different forms of discrimination towards individuals in the labor market. In particular, it examines the potential for discrimination of sexual orientation, religion, and physical appearance and weight. The analysis is conducted by means of a survey of the existing literature and by an empirical analysis, using European data as well as Italian data collected through an experimental design.

This book addresses statistical issues related to linear panel data models with the joint occurrence of unobserved heterogeneity and measurement errors- in-variables. Specifically, it is concerned with hypothesis testing and estimation techniques in a static and in a dynamic framework respectively. The relevance of such issues for applied studies is emphasized. Different case-studies are analyzed.