Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/33651
Authors: 
Caliendo, Marco
Hujer, Reinhard
Year of Publication: 
2005
Series/Report no.: 
IZA Discussion Papers 1653
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.
Subjects: 
evaluation
effect heterogeneity
matching
dynamic treatments
JEL: 
C40
H43
J68
Document Type: 
Working Paper

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