NDLI: The microeconometric estimation of treatment effects

Content Provider	Springer Nature Link
Author	Caliendo, Marco Hujer, Reinhard
Copyright Year	2006
Abstract	The need to evaluate the performance of active labour market policies is not questioned any longer. Even though OECD countries spend significant shares of national resources on these measures, unemployment rates remain high or even increase. We focus on microeconometric evaluation which has to solve the fundamental evaluation problem and overcome the possible occurrence of selection bias. When using non-experimental data, different evaluation approaches can be thought of. The aim of this paper is to review the most relevant estimators, discuss their identifying assumptions and their (dis-)advantages. Thereby we will present estimators based on some form of exogeneity (selection on observables) as well as estimators where selection might also occur on unobservable characteristics. Since the possible occurrence of effect heterogeneity has become a major topic in evaluation research in recent years, we will also assess the ability of each estimator to deal with it. Additionally, we will also discuss some recent extensions of the static evaluation framework to allow for dynamic treatment evaluation.
Starting Page	199
Ending Page	215
Page Count	17
File Format	PDF
ISSN	00026018
Journal	AStA Advances in Statistical Analysis
Volume Number	90
Issue Number	1
e-ISSN	16140176
Language	English
Publisher	Springer-Verlag
Publisher Date	2006-01-01
Publisher Place	Berlin, Heidelberg
Access Restriction	Subscribed
Subject Keyword	Evaluation effect heterogeneity matching dynamic treatments JEL C40, H43, J68 Probability Theory and Stochastic Processes Statistics Statistics for Business/Economics/Mathematical Finance/Insurance Econometrics
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability

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