Propensity Score Matching Methods for Non-Experimental Causal Studies

Discussion Papers from Columbia University, Department of Economics

Abstract: This paper considers causal inference and sample selection bias in non-experimental settings in which: (i) few units in the non-experimental comparison group are comparable to the treatment units; (ii) selecting a subset of comparison units similar to the treatment units is difficult because units must be compared across a high-dimentional set of pretreatment characteristics. We propose the use of propensity score matching methods, and implement them using data from the NSW experiment.

Keywords: MATCHING; EVALUATION; ECONOMIC MODELS (search for similar items in EconPapers)
JEL-codes: C80 C81 C14 (search for similar items in EconPapers)
Date: 1998
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Related works:
Working Paper: Propensity Score Matching Methods for Non-experimental Causal Studies (1998)
Working Paper: Propensity score matching methods for non-experimental causal studies (2002)
Journal Article: Propensity Score-Matching Methods For Nonexperimental Causal Studies (2002)
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