A PRIMER ON PROPENSITY SCORE MATCHING ESTIMATORS

Katja Vinha

No 1928, Documentos CEDE from Universidad de los Andes, Facultad de Economía, CEDE

Abstract: Nonparametric matching estimators are frequently applied in evaluation studies. The general idea of the methodology is to determine the impact of treatment on the treated using information from treated and from similar non-treated observations to build a counterfactual of no treatment. I discuss the methodology for both the binary treatment case as well as for the multiple treatment case.

Keywords: Propensity score matching; binary treatment; multiple treatments (search for similar items in EconPapers)
JEL-codes: C14 (search for similar items in EconPapers)
Pages: 28
Date: 2002-02-20
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Persistent link: https://EconPapers.repec.org/RePEc:col:000089:001928

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