{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T14:03:48Z","timestamp":1763388228252,"version":"3.45.0"},"reference-count":24,"publisher":"The Econometric Society","issue":"6","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100007346","name":"Armstrong Flight Research Center","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007346","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100005246","name":"Institute of Education Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100005246","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000269","name":"Economic and Social Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000269","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ECTA"],"abstract":"<jats:p>Empirical research typically involves a robustness\u2010efficiency tradeoff. A researcher seeking to estimate a scalar parameter can invoke strong assumptions to motivate a restricted estimator that is precise but may be heavily biased, or they can relax some of these assumptions to motivate a more robust, but variable, unrestricted estimator. When a bound on the bias of the restricted estimator is available, it is optimal to shrink the unrestricted estimator towards the restricted estimator. For settings where a bound on the bias of the restricted estimator is unknown, we propose adaptive estimators that minimize the percentage increase in worst\u2010case risk relative to an oracle that knows the bound. We show that adaptive estimators solve a weighted convex minimax problem and provide lookup tables facilitating their rapid computation. Revisiting some well\u2010known empirical studies where questions of model specification arise, we examine the advantages of adapting to\u2014rather than testing for\u2014misspecification.<\/jats:p>","DOI":"10.3982\/ecta21991","type":"journal-article","created":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T14:00:52Z","timestamp":1763388052000},"page":"1981-2005","source":"Crossref","is-referenced-by-count":0,"title":["Adapting to Misspecification"],"prefix":"10.3982","volume":"93","author":[{"given":"Timothy B.","family":"Armstrong","sequence":"first","affiliation":[{"name":"Department of Economics, University of Southern California"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patrick","family":"Kline","sequence":"additional","affiliation":[{"name":"Department of Economics, University of California, Berkeley"},{"name":"NBER"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liyang","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Economics, University College London"},{"name":"CEMFI"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2359","published-online":{"date-parts":[[2025]]},"reference":[{"issue":"4","key":"ecta200835-bib-0001","doi-asserted-by":"crossref","first-page":"979","DOI":"10.2307\/2937954","volume":"106","author":"Angrist","year":"1991","journal-title":"Q. 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