Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/35960 
Erscheinungsjahr: 
2010
Schriftenreihe/Nr.: 
IZA Discussion Papers No. 4689
Verlag: 
Institute for the Study of Labor (IZA), Bonn
Zusammenfassung: 
We examine instrumental variables estimation in situations where the instrument is only observed for a sub-sample, which is fairly common in empirical research. Typically, researchers simply limit the analysis to the sub-sample where the instrument is non-missing. We show that when the instrument is non-randomly missing, standard IV estimators require strong, auxiliary assumptions to be consistent. In many (quasi)natural experiments, the auxiliary assumptions are unlikely to hold. We therefore introduce alternative IV estimators that are robust to non-randomly missing instruments without auxiliary assumptions. A Monte-Carlo study illustrates our results.
Schlagwörter: 
Instrumental variables
partially missing instruments
sample selection
sub-sample estimation
JEL: 
C31
C34
Dokumentart: 
Working Paper

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