Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/18572
Title: Assessing the performance of matching algorithms when selection into treatment is strong
Keywords: C14
C61
ddc:330
Matching algorithms
optimal full matching
selection into treatment
Mikroökonometrie
Matching
Bildungsertrag
Schätzung
Theorie
Vereinigte Staaten
Issue Date: 16-Oct-2013
Publisher: 
Description: 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.
URI: http://koha.mediu.edu.my:8181/xmlui/handle/10419/18572
Other Identifiers: http://hdl.handle.net/10419/18572
ppn:396464890
Appears in Collections:EconStor

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