{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T20:06:42Z","timestamp":1787170002961,"version":"build-2736575974"},"reference-count":24,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2024,11,21]],"date-time":"2024-11-21T00:00:00Z","timestamp":1732147200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["DMS-2210561"],"award-info":[{"award-number":["DMS-2210561"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["SES-2241575"],"award-info":[{"award-number":["SES-2241575"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["SES-2019363"],"award-info":[{"award-number":["SES-2019363"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["DMS-2210019"],"award-info":[{"award-number":["DMS-2210019"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,1,16]]},"abstract":"<jats:title>Summary<\/jats:title>\n                  <jats:p>In two influential contributions, Rosenbaum (2005, 2020a) advocated for using the distances between componentwise ranks, instead of the original data values, to measure covariate similarity when constructing matching estimators of average treatment effects. While the intuitive benefits of using covariate ranks for matching estimation are apparent, there is no theoretical understanding of such procedures in the literature. We fill this gap by demonstrating that Rosenbaum\u2019s rank-based matching estimator, when coupled with a regression adjustment, enjoys the properties of double robustness and semiparametric efficiency without the need to enforce restrictive covariate moment assumptions. Our theoretical findings further emphasize the statistical virtues of employing ranks for estimation and inference, more broadly aligning with the insights put forth by Peter Bickel in his 2004 Rietz lecture.<\/jats:p>","DOI":"10.1093\/biomet\/asae062","type":"journal-article","created":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T23:24:08Z","timestamp":1731453848000},"source":"Crossref","is-referenced-by-count":2,"title":["On Rosenbaum\u2019s rank-based matching estimator"],"prefix":"10.1093","volume":"112","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0493-7506","authenticated-orcid":false,"given":"Matias D","family":"Cattaneo","sequence":"first","affiliation":[{"name":"Department of Operations Research and Financial Engineering, Princeton University , Sherrerd Hall, Charlton Street , Princeton, New Jersey 08544,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fang","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Statistics, University of Washington , Padelford Hall , Seattle, Washington 98195,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhexiao","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Statistics, University of California , Berkeley, 367 Evans Hall , Berkeley, California 94720,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2024,11,21]]},"reference":[{"key":"2025112020022026500_asae062-B1","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1111\/j.1468-0262.2006.00655.x","article-title":"Large sample properties of matching estimators for average treatment effects","volume":"74","author":"Abadie","year":"2006","journal-title":"Econometrica"},{"key":"2025112020022026500_asae062-B2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1198\/jbes.2009.07333","article-title":"Bias-corrected matching estimators for average treatment effects","volume":"29","author":"Abadie","year":"2011","journal-title":"J. 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