Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/185323 
Erscheinungsjahr: 
2018
Schriftenreihe/Nr.: 
IZA Discussion Papers No. 11863
Verlag: 
Institute of Labor Economics (IZA), Bonn
Zusammenfassung: 
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 the distributional impacts of programs and policies. This toolkit reviews methods to do so, focusing on their application to randomized control trials. The paper emphasizes two strands of the literature: estimation of impacts on outcome distributions and estimation of the distribution of treatment impacts. The article then discusses extensions to conditional treatment effect heterogeneity, that is, to analyses of how treatment impacts vary with observed characteristics. The paper offers advice on inference, testing, and power calculations, which are important when implementing distributional analyses in practice. Finally, the paper illustrates select methods using data from two randomized evaluations.
Schlagwörter: 
distribution of treatment effects
impacts on outcome distributions
heterogeneous treatment effects
distributional impact analysis
policy evaluation
random control trials
JEL: 
C18
C21
C54
C93
D39
Dokumentart: 
Working Paper

Datei(en):
Datei
Größe
1.38 MB





Publikationen in EconStor sind urheberrechtlich geschützt.