Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/35701 
Erscheinungsjahr: 
2009
Schriftenreihe/Nr.: 
IZA Discussion Papers No. 4237
Verlag: 
Institute for the Study of Labor (IZA), Bonn
Zusammenfassung: 
An important goal when analyzing the causal effect of a treatment on an outcome is to understand the mechanisms through which the treatment causally works. We define a causal mechanism effect of a treatment and the causal effect net of that mechanism using the potential outcomes framework. These effects provide an intuitive decomposition of the total effect that is useful for policy purposes. We offer identification conditions based on an unconfoundedness assumption to estimate them, within a heterogeneous effect environment, and for the cases of a randomly assigned treatment and when selection into the treatment is based on observables. Two empirical applications illustrate the concepts and methods.
Schlagwörter: 
Causal inference
causal mechanisms
post-treatment variables
principal stratification
JEL: 
C13
C21
C14
Persistent Identifier der Erstveröffentlichung: 
Dokumentart: 
Working Paper

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