Show simple item record Millimet, Daniel Tchernis, Rusty 2006-10-17T15:42:36Z 2006-10-17T15:42:36Z 2006-10-17T15:42:36Z
dc.identifier.uri en
dc.identifier.uri en
dc.description.abstract The use of propensity score methods for program evaluation with non-experimental data typically requires the propensity score be estimated, often with a model whose specification is unknown. While theoretical results suggest that estimators utilizing more flexible propensity score specifications perform better, this has not filtered into applied research. Here, we provide Monte Carlo evidence indicating the benefits of over-specifying the propensity score when using weighting estimators, as well as using normalized weights. We illustrate these results with an application assessing the environmental effects of GATT/WTO membership. We find that membership has a mixed impact, and that under-fitting the propensity score yields misleading inference in several cases. en
dc.format.extent 724356 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.relation.ispartofseries CAEPR Working Paper en
dc.relation.ispartofseries 2006-013 en
dc.relation.isversionof This paper can also be found on SSRN. en
dc.relation.isversionof This paper can also be found on RePEc. en
dc.subject CAEPR en
dc.subject Center for Applied Economics and Policy Research en
dc.subject Treatment Effects en
dc.subject Propensity Score en
dc.subject Specification en
dc.subject WTO en
dc.subject Environment en
dc.title On the Specification of Propensity Scores: with an Application to the WTO-Environment Debate en
dc.type Working Paper en

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