EconPapers    
Economics at your fingertips  
 

Matching As An Econometric Evaluation Estimator

James Heckman, Hidehiko Ichimura and Petra Todd

The Review of Economic Studies, 1998, vol. 65, issue 2, 261-294

Abstract: This paper develops the method of matching as an econometric evaluation estimator. A rigorous distribution theory for kernel-based matching is presented. The method of matching is extended to more general conditions than the ones assumed in the statistical literature on the topic. We focus on the method of propensity score matching and show that it is not necessarily better, in the sense of reducing the variance of the resulting estimator, to use the propensity score method even if propensity score is known. We extend the statistical literature on the propensity score by considering the case when it is estimated both parametrically and nonparametrically. We examine the benefits of separability and exclusion restrictions in improving the efficiency of the estimator. Our methods also apply to the econometric selection bias estimator.

Date: 1998
References: Add references at CitEc
Citations: View citations in EconPapers (1905)

Downloads: (external link)
http://hdl.handle.net/10.1111/1467-937X.00044 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oup:restud:v:65:y:1998:i:2:p:261-294.

Access Statistics for this article

The Review of Economic Studies is currently edited by Thomas Chaney, Xavier d’Haultfoeuille, Andrea Galeotti, Bård Harstad, Nir Jaimovich, Katrine Loken, Elias Papaioannou, Vincent Sterk and Noam Yuchtman

More articles in The Review of Economic Studies from Review of Economic Studies Ltd
Bibliographic data for series maintained by Oxford University Press (joanna.bergh@oup.com).

 
Page updated 2024-12-15
Handle: RePEc:oup:restud:v:65:y:1998:i:2:p:261-294.