Show Summary Details

Page of

PRINTED FROM OXFORD HANDBOOKS ONLINE ( © Oxford University Press, 2018. All Rights Reserved. Under the terms of the licence agreement, an individual user may print out a PDF of a single chapter of a title in Oxford Handbooks Online for personal use (for details see Privacy Policy and Legal Notice).

date: 17 May 2021

Abstract and Keywords

The popularity of matching techniques has increased considerably during the last decades. They are mainly used for matching treatment and control units to estimate causal treatment effects from observational studies or for integrating two or more data sets that share a common subset of covariates. In focusing on causal inference with observational studies, we discuss multivariate matching techniques and several propensity score methods, like propensity score matching, subclassification, inverse-propensity weighting, and regression estimation. In addition to the theoretical aspects, we give practical guidelines for implementing these techniques and discuss the conditions under which these techniques warrant a causal interpretation of the estimated treatment effect. In particular, we emphasize that the selection of covariates and their reliable measurement is more important than the choice of a specific matching strategy.

Keywords: Matching, propensity scores, observational study, Rubin Causal Model, potential outcomes, propensity score subclassification, inverse-propensity weighting, propensity score regression estimation, sensitivity analyses

Access to the complete content on Oxford Handbooks Online requires a subscription or purchase. Public users are able to search the site and view the abstracts and keywords for each book and chapter without a subscription.

Please subscribe or login to access full text content.

If you have purchased a print title that contains an access token, please see the token for information about how to register your code.

For questions on access or troubleshooting, please check our FAQs, and if you can''t find the answer there, please contact us.