A PRIMER ON PROPENSITY SCORE MATCHING ESTIMATORS

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.

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Year of publication:	2002-02-20
Authors:	Vinha, Katja
Institutions:	UNIVERSIDAD DE LOS ANDES-CEDE
Subject:	Propensity score matching \| binary treatment \| multiple treatments

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Series:	DOCUMENTOS CEDE.
Type of publication:	Book / Working Paper
Language:	English
Notes:	2 pages long
Classification:	C14 - Semiparametric and Nonparametric Methods
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005767840