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We show that, provided the observed running variable (i) correctly classifies treatment assignment and (ii) affects the conditional means of potential outcomes smoothly, ignoring the measurement error nonetheless yields an estimate with a causal interpretation: the average treatment effect for units whose observed running variable equals the cutoff. Possibly after doughnut trimming, these assumptions accommodate a variety of settings where support of the measurement error is not too wide. An empirical application illustrates the results for both sharp and fuzzy designs.<\/jats:p>","DOI":"10.1002\/jae.2974","type":"journal-article","created":{"date-parts":[[2023,3,30]],"date-time":"2023-03-30T01:17:47Z","timestamp":1680139067000},"page":"735-750","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["When can we ignore measurement error in the running variable?"],"prefix":"10.1002","volume":"38","author":[{"given":"Yingying","family":"Dong","sequence":"first","affiliation":[{"name":"Department of Economics University of California Irvine  Irvine California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2482-7796","authenticated-orcid":false,"given":"Michal","family":"Koles\u00e1r","sequence":"additional","affiliation":[{"name":"Department of Economics Princeton University  Princeton New Jersey USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2023,3,29]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1162\/qjec.2010.125.2.591"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1093\/qje\/qjr037"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177730090"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.3982\/ECTA14434"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.3982\/QE1199"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1093\/qje\/qjr042"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1111\/ecin.12225"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1080\/07350015.2020.1737081"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1257\/aer.99.5.2209"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.3982\/ECTA11757"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.3982\/ECTA11224"},{"key":"e_1_2_7_13_1","doi-asserted-by":"publisher","DOI":"10.1201\/9781420010138"},{"key":"e_1_2_7_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeconom.2017.06.010"},{"key":"e_1_2_7_15_1","doi-asserted-by":"publisher","DOI":"10.1257\/pol.20160439"},{"key":"e_1_2_7_16_1","doi-asserted-by":"publisher","DOI":"10.1002\/jae.2369"},{"key":"e_1_2_7_17_1","unstructured":"Eckles D. 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