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Title:Assessing the Performance of Matching Algorithms When Selection into Treatment Is Strong PDF Logo
Authors:Augurzky, Boris
Kluve, Jochen
Issue Date:2004
Series/Report no.:IZA Discussion paper series 1301
Abstract: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.
Subjects:matching algorithms
optimal full matching
selection into treatment
JEL:C61
C14
Document Type:Working Paper
Appears in Collections:IZA Discussion Papers, Forschungsinstitut zur Zukunft der Arbeit (IZA)

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