Program evaluations often focus on average treatment effects. However, average treatment effects miss important aspects of policy evaluation, such as the impact on inequality and whether treatment harms some individuals. A growing literature develops methods to evaluate such issues by examining...

Lifelong learning is often promoted in ageing societies, but little is known about its returns or governments' ability to advance it. This paper evaluates the effects of a large-scale randomized field experiment issuing vouchers for adult education in Switzerland. We find no significant average...

The guide outlines the main evaluation challenges associated with ALMP's, and shows how to obtain rigorous impact estimates using two leading evaluation approaches. The most credible and straightforward evaluation method is a randomized design, in which a group of potential participants is...

This chapter describes the main impact evaluation methods, both experimental and quasi-experimental, and the statistical model underlying them. Some of the most important methodological advances to have recently been put forward in this field of research are presented. We focus not only on the...

The evaluation of labor market policies has become an important issue in many European countries. In recent years, many of them have opened their administrative databases for evaluation studies. The advantages of administrative data are straightforward: they are accurate, contain a large number...

This paper contributes to the literature on macroeconometric evaluation of active labour market policies (ALMP) by considering the regional effects on both the matching process and the job-seeker rate. We use an unique new data set on all Austrian job-seekers between 2001 to 2007 and apply GMM...

Many countries support business start-ups to spur economic growth and reduce unemployment with different programmes. Evaluation studies of such programmes commonly rely on the conditional independence assumption (CIA), allowing a causal interpretation of the results only if all relevant...

We use a new and exceptionally rich administrative data set for Germany to evaluate the employment effects of a variety of public sponsored training programs in the early 2000s. Building on the work of Sianesi (2003, 2004), we employ propensity score matching methods in a dynamic, multiple...

This paper estimates the impact of a health insurance reform on health outcomes in urban China. Using the China Health and Nutrition Survey we find that this reform increases the rate of health insurance coverage significantly among workers in Non-State Owned Enterprises. The double difference...

This paper studies the role of training vouchers and caseworkers in public training programs. Using a rich administrative data set, we apply matching and regression methods to measure the effect of the Hartz reform in Germany, which introduced training vouchers and imposed more selective...