On the Specification of Propensity Scores: with Applications to the Analysis of Trade Policies
AbstractThe use of propensity score models 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 benefits of over-specifying the propensity score that are robust across a number of different covariate structures and estimators. We illustrate these results with two applications, one assessing the environmental effects of GATT/WTO membership and the other assessing the impact of euro adoption on bilateral trade.
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Bibliographic InfoPaper provided by Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington in its series Caepr Working Papers with number 2006-013_Updated.
Length: 48 pages
Date of creation: Jan 2008
Date of revision:
Treatment Effects; Program Evaluation; WTO; Environment; Currency Union;
Other versions of this item:
- Millimet, Daniel L. & Tchernis, Rusty, 2009. "On the Specification of Propensity Scores, With Applications to the Analysis of Trade Policies," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(3), pages 397-415.
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- F18 - International Economics - - Trade - - - Trade and Environment
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