{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T16:11:24Z","timestamp":1785427884869,"version":"3.56.0"},"reference-count":18,"publisher":"Cambridge University Press (CUP)","license":[{"start":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T00:00:00Z","timestamp":1767312000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Econom. Theory"],"abstract":"<jats:p>\n                    This article presents novel methods and theories for estimation and inference about parameters in statistical models using machine learning for nuisance parameter estimation when data are dyadic. We propose a dyadic cross-fitting method to remove over-fitting biases under arbitrary dyadic dependence. Together with the use of Neyman orthogonal scores, this novel cross-fitting method enables root-\n                    <jats:italic>n<\/jats:italic>\n                    consistent estimation and inference robustly against dyadic dependence. We demonstrate its versatility by applying it to high-dimensional network formation models and reexamine the determinants of free trade agreements.\n                  <\/jats:p>","DOI":"10.1017\/s0266466625100273","type":"journal-article","created":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T08:52:15Z","timestamp":1767343935000},"page":"1-22","source":"Crossref","is-referenced-by-count":0,"title":["DOUBLE\/DEBIASED MACHINE LEARNING FOR DYADIC DATA"],"prefix":"10.1017","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5196-3155","authenticated-orcid":false,"given":"Harold D.","family":"Chiang","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/01y2jtd41","id-type":"ROR","asserted-by":"publisher"}],"name":"University of Wisconsin-Madison"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3391-6966","authenticated-orcid":false,"given":"Yukun","family":"Ma","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/022kthw22","id-type":"ROR","asserted-by":"publisher"}],"name":"University of Rochester"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8900-3440","authenticated-orcid":false,"given":"Joel B.","family":"Rodrigue","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02vm5rt34","id-type":"ROR","asserted-by":"publisher"}],"name":"Vanderbilt University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5712-651X","authenticated-orcid":false,"given":"Yuya","family":"Sasaki","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02vm5rt34","id-type":"ROR","asserted-by":"publisher"}],"name":"Vanderbilt University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2026,1,2]]},"reference":[{"key":"S0266466625100273_r16","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-811771-2.00008-0"},{"key":"S0266466625100273_r18","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2545-2"},{"key":"S0266466625100273_r5","doi-asserted-by":"publisher","DOI":"10.1214\/17-AOS1671"},{"key":"S0266466625100273_r14","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2021.2000868"},{"key":"S0266466625100273_r10","doi-asserted-by":"publisher","DOI":"10.3982\/ECTA10771"},{"key":"S0266466625100273_r12","doi-asserted-by":"publisher","DOI":"10.3982\/ECTA16294"},{"key":"S0266466625100273_r2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeconom.2007.01.013"},{"key":"S0266466625100273_r7","doi-asserted-by":"publisher","DOI":"10.1080\/07350015.2016.1166116"},{"key":"S0266466625100273_r13","doi-asserted-by":"publisher","DOI":"10.1080\/07350015.2021.1895815"},{"key":"S0266466625100273_r11","doi-asserted-by":"publisher","DOI":"10.1111\/ectj.12097"},{"key":"S0266466625100273_r9","doi-asserted-by":"publisher","DOI":"10.1111\/1468-0262.00461"},{"key":"S0266466625100273_r6","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/asu056"},{"key":"S0266466625100273_r3","doi-asserted-by":"publisher","DOI":"10.1016\/0047-259X(81)90099-3"},{"key":"S0266466625100273_r1","doi-asserted-by":"publisher","DOI":"10.1111\/1468-0262.00470"},{"key":"S0266466625100273_r15","author":"Graham","year":"2020"},{"key":"S0266466625100273_r17","volume-title":"Probabilistic symmetries and invariance principles","author":"Kallenberg","year":"2006"},{"key":"S0266466625100273_r4","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-1996(03)00079-5"},{"key":"S0266466625100273_r8","doi-asserted-by":"publisher","DOI":"10.1214\/08-AOS620"}],"container-title":["Econometric Theory"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S0266466625100273","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T08:52:16Z","timestamp":1767343936000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0266466625100273\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,2]]},"references-count":18,"alternative-id":["S0266466625100273"],"URL":"https:\/\/doi.org\/10.1017\/s0266466625100273","relation":{},"ISSN":["0266-4666","1469-4360"],"issn-type":[{"value":"0266-4666","type":"print"},{"value":"1469-4360","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,2]]}}}