Assessing the performance of matching algorithms when selection into treatment is strong
By: by Boris Augurzky, Jochen Kluve.
Contributors: Kluve, Jochen.
Series: Discussion paper ;; no. 1301; Discussion paper (Forschungsinstitut zur Zukunft der Arbeit : Online) ;; no. 1301
Publisher: IZA
Published: 2004
Place of publication: Bonn, Germany
Language: eng
Format: Electronic resource
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"--Forschungsinstitut zur Zukunft der Arbeit web site.
Notes: Also available in print.
Includes bibliographical references.
Title from PDF file as viewed on 5/3/2005.
System requirements: Adobe Acrobat Reader.
Mode of access: World Wide Web.