Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/20567 
Erscheinungsjahr: 
2004
Schriftenreihe/Nr.: 
IZA Discussion Papers No. 1301
Verlag: 
Institute for the Study of Labor (IZA), Bonn
Zusammenfassung: 
This paper investigates the method of matching regarding two crucial implementation choices, the distance measure and the type of algorithm. We implement optimal full matching - a fully efficient algorithm - and present a framework for statistical inference. The implementation uses data from the NLSY79 to study the effect of college education on earnings. We find that decisions regarding the matching algorithm depend on the structure of the data: In the case of strong selection into treatment and treatment effect heterogeneity a full matching seems preferable. If heterogeneity is weak, pair matching suffices.
Schlagwörter: 
matching algorithms
optimal full matching
selection into treatment
JEL: 
C61
C14
Dokumentart: 
Working Paper

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