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Long-run effects of public sector sponsored training in west germany

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TLDR
In this paper, the effects of different types of training programmes over a horizon of more than seven years were identified using bias corrected weighted multiple neighbors matching, and they found that all programmes have negative effects in the short run and positive effects over a four years.
Abstract
Between 1991 and 1997 West Germany spent on average about 3.6 bn Euro per year on public sector sponsored training programmes for the unemployed. We base our empirical analysis on a new administrative data base that plausibly allows for selectivity correction by microeconometric matching methods. We identify the effects of different types of training programmes over a horizon of more than seven years. Using bias corrected weighted multiple neighbours matching we find that all programmes have negative effects in the short run and positive effects over a horizon of about four years. However, for substantive training programmes with duration of about two years gains in employment probabilities of more than 10% points appear to be sustainable, but come at the price of large negative lock-in effects.

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Recent developments in the econometrics of program evaluation

TL;DR: In the last two decades, much research has been done on the econometric and statistical analysis of such causal effects as discussed by the authors, which has reached a level of maturity that makes it an important tool in many areas of empirical research in economics, including labor economics, public finance, development economics, industrial organization, and other areas in empirical microeconomics.
Journal ArticleDOI

Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review

TL;DR: In this article, the authors review the state of the art in estimating average treatment effects under various sets of assumptions, including exogeneity, unconfoundedness, or selection on observables.
Posted Content

Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review

TL;DR: In this paper, the authors review the state of the art in estimating average treatment effects under various sets of assumptions, including exogeneity, unconfoundedness, or selection on observables.
Journal ArticleDOI

The effectiveness of European active labor market programs

TL;DR: In this article, a meta-analysis based on a data set that comprises 137 program evaluations from 19 countries was conducted to answer the question "What program works for what target group under what (economic and institutional) circumstances?" and the empirical results of the meta analysis are surprisingly clear-cut: Rather than contextual factors such as labor market institutions or the business cycle, it is almost exclusively the program type that seems to matter for program effectiveness.
Posted ContentDOI

The Effectiveness of European Active Labor Market Policy

TL;DR: In this paper, the authors used a meta-analytical framework to evaluate the effectiveness of active labor market policies in European countries and found 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.
References
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Journal ArticleDOI

The central role of the propensity score in observational studies for causal effects

Paul R. Rosenbaum, +1 more
- 01 Apr 1983 - 
TL;DR: The authors discusses the central role of propensity scores and balancing scores in the analysis of observational studies and shows that adjustment for the scalar propensity score is sufficient to remove bias due to all observed covariates.
Journal ArticleDOI

Estimating causal effects of treatments in randomized and nonrandomized studies.

TL;DR: A discussion of matching, randomization, random sampling, and other methods of controlling extraneous variation is presented in this paper, where the objective is to specify the benefits of randomization in estimating causal effects of treatments.
Book

The Design of Experiments

R. A. Fisher
Journal ArticleDOI

Propensity score-matching methods for nonexperimental causal studies

TL;DR: In this article, the authors consider causal inference and sample selection bias in nonexperimental settings in which few units in the nonex-experiment comparison group are comparable to the treatment units, and selecting a subset of comparison units similar to treatment units is difficult because units must be compared across a high-dimensional set of pre-treatment characteristics.
Book ChapterDOI

The Economics and Econometrics of Active Labor Market Programs

TL;DR: In this paper, the authors examine the impacts of active labor market policies, such as job training, job search assistance, and job subsidies, and the methods used to evaluate their effectiveness.
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