{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T01:52:56Z","timestamp":1774317176943,"version":"3.50.1"},"reference-count":66,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,3,16]]},"abstract":"<jats:title>Summary<\/jats:title>\n               <jats:p>Regression discontinuity designs assess causal effects in settings where treatment is determined by whether an observed running variable crosses a prespecified threshold. Here, we propose a new approach to identification, estimation and inference in regression discontinuity designs that uses knowledge about exogenous noise (e.g., measurement error) in the running variable. In our strategy, we weight treated and control units to balance a latent variable, of which the running variable is a noisy measure. Our approach is driven by effective randomization provided by the noise in the running variable, and complements standard formal analyses that appeal to continuity arguments while ignoring the stochastic nature of the assignment mechanism.<\/jats:p>","DOI":"10.1093\/biomet\/asaf003","type":"journal-article","created":{"date-parts":[[2025,2,17]],"date-time":"2025-02-17T07:48:26Z","timestamp":1739778506000},"source":"Crossref","is-referenced-by-count":2,"title":["Noise-induced randomization in regression discontinuity designs"],"prefix":"10.1093","volume":"112","author":[{"given":"Dean","family":"Eckles","sequence":"first","affiliation":[{"name":"Sloan School of Management, Massachusetts Institute of Technology , 100 Main Street , Cambridge, Massachusetts 02142,","place":["USA"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7767-2583","authenticated-orcid":false,"given":"Nikolaos","family":"Ignatiadis","sequence":"additional","affiliation":[{"name":"Department of Statistics and Data Science Institute, University of Chicago , 5747 South Ellis Avenue , Chicago, Illinois 60637,","place":["USA"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Wager","sequence":"additional","affiliation":[{"name":"Stanford Graduate School of Business, Stanford University , 655 Knight Way , Stanford, California 94305,","place":["USA"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Han","family":"Wu","sequence":"additional","affiliation":[{"name":"Two Sigma Investments , 100 Avenue of the Americas , New York, New York 10013,","place":["USA"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2025,2,17]]},"reference":[{"key":"2025062423122918000_asaf003-B1","doi-asserted-by":"crossref","first-page":"1331","DOI":"10.1080\/01621459.2015.1012259","article-title":"Wanna get away? 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