Microeconometric Evaluation Of Labour Market Policies

The evaluation of labour market and other public policies has become increasingly important in recent years. In an era of tight government budgets, a thorough analysis of these measures is imperative. This book provides a comprehensive overview and assessment of the most relevant microeconometric evaluation methods. It focuses on the popular propensity score matching method and gives extensive guidance for its implementation. In the second part of the book, this method is used to evaluate the employment effects of job creation schemes on the participating individuals in Germany. Based on a large administrative dataset of over 11,000 participants, the study allows to draw policy-relevant conclusions for the first time.

Empirical measurement of impacts of active labour market programmes has started to become a central task of economic researchers. New improved econometric methods have been developed that will probably influence future empirical work in various other fields of economics as well. This volume contains a selection of original papers from leading experts, among them James J. Heckman, Noble Prize Winner 2000 in economics, addressing these econometric issues at the theoretical and empirical level. The theoretical part contains papers on tight bounds of average treatment effects, instrumental variables estimators, impact measurement with multiple programme options and statistical profiling. The empirical part provides the reader with econometric evaluations of active labour market programmes in Canada, Germany, France, Italy, Slovak Republic and Sweden.

This book argues that active labour market policies are necessary to improve the position of the unemployed but have so far performed relatively poorly. The contributing authors seek ways to improve active labour market policy and consider three means of doing so: improving the quality by better targeting and by better-designed measures, more efficient implementation and delivery, and better performance by benchmarking the various implementation agencies involved.

After unification large amounts of money were spent to retrain the East Germany labour force in order to ease the transition to the new market economy. This book uses microeconometric methods and individual data to evaluate the impact of these training programmes on the participants' labour market situation. It discusses the appropriate evaluation methodology as well as the effectiveness of the actual programmes for the individual participants. The empirical results suggest that the public sector sponsored training programmes were fairly ineffective. In contrast, the training organized and paid by the enterprises caused considerable earnings growings.

Most governments in today's market economies spend significant sums of money on labour market programmes. The declared aims of these programmes are to increase the re-employment chances of the unemployed. This book investigates which active labour market programmes in Poland are value for money and which are not. To this end, modern statistical methods are applied to both macro- and microeconomic data. It is shown that training programmes increase, whereas job subsidies and public works decrease the re-employment opportunities of the unemployed. In general, all active labour market policy effects are larger in absolute size for men than for women. By surveying previous studies in the field and outlining the major statistical approaches that are employed in the evaluation literature, the book can be of help to any student interested in programme evaluation irrespective of the paticular programme or country concerned.

This paper presents a meta-analysis of recent microeconometric evaluations of active labor market policies. Our sample contains 199 separate "program estimates"--Estimates of the impact of a particular program on a specific subgroup of participants - drawn from 97 studies conducted between 1995 and 2007. For about one-half of the sample we have both a short-term program estimate (for a one-year post-program horizon) and a medium- or long-term estimate (for 2 or 3 year horizons). We categorize the estimated post-program impacts as significantly positive, insignificant, or significantly negative. By this criterion we find that job search assistance programs are more likely to yield positive impacts, whereas public sector employment programs are less likely. Classroom and on-the-job training programs yield relatively positive impacts in the medium term, although in the short-term these programs often have insignificant or negative impacts. We also find that the outcome variable used to measure program impact matters. In particular, studies based on registered unemployment are more likely to yield positive program impacts than those based on other outcomes (like employment or earnings). On the other hand, neither the publication status of a study nor the use of a randomized design is related to the sign or significance of the corresponding program estimate. Finally, we use a subset of studies that focus on post-program employment to compare meta-analytic models for the "effect size" of a program estimate with models for the sign and significance of the estimated program effect. We find that the two approaches lead to very similar conclusions about the determinants of program impact.