{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T16:34:27Z","timestamp":1786120467318,"version":"build-2736575974"},"reference-count":32,"publisher":"Informa UK Limited","license":[{"start":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T00:00:00Z","timestamp":1785974400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/doi.org\/10.1080\/policies-text-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72232002"],"award-info":[{"award-number":["72232002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Journal of the American Statistical Association"],"DOI":"10.1080\/01621459.2026.2696607","type":"journal-article","created":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T13:38:39Z","timestamp":1783345119000},"page":"1-12","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":0,"title":["Double\/Debiased Machine Learning for Treatment Effects in Dynamic Panels"],"prefix":"10.1080","author":[{"given":"Peikai","family":"Wu","sequence":"first","affiliation":[{"name":"Department of Statistics and Data Science, Fudan University","place":["Shanghai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiguo","family":"Xiao","sequence":"additional","affiliation":[{"name":"Department of Statistics and Data Science, Fudan University","place":["Shanghai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"301","published-online":{"date-parts":[[2026,8,6]]},"reference":[{"key":"e_1_3_5_2_1","doi-asserted-by":"publisher","DOI":"10.1086\/700936"},{"key":"e_1_3_5_3_1","doi-asserted-by":"publisher","DOI":"10.1515\/9781400829828"},{"key":"e_1_3_5_4_1","doi-asserted-by":"publisher","DOI":"10.1093\/0199245282.001.0001"},{"key":"e_1_3_5_5_1","doi-asserted-by":"publisher","DOI":"10.1093\/ectj\/utae014"},{"key":"e_1_3_5_6_1","unstructured":"Bakhitov E. (2022) \u201cAutomatic Debiased Machine Learning in Presence of Endogeneity \u201d Technical Report working paper. Available at https:\/\/edbakhitov.com\/assets\/pdf\/jmp_edbakhitov.pdf."},{"key":"e_1_3_5_7_1","first-page":"103","article-title":"\u201cSeries Estimation of Partially Linear Panel Data Models with Fixed Effects,\u201d","volume":"3","author":"Baltagi B. H.","year":"2002","unstructured":"Baltagi, B. H., and Li, D. (2002), \u201cSeries Estimation of Partially Linear Panel Data Models with Fixed Effects,\u201d Annals of Economics and Finance, 3, 103\u2013116.","journal-title":"Annals of Economics and Finance"},{"key":"e_1_3_5_8_1","doi-asserted-by":"publisher","DOI":"10.1111\/1475-679X.12559"},{"key":"e_1_3_5_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeconom.2020.12.001"},{"key":"e_1_3_5_10_1","doi-asserted-by":"publisher","DOI":"10.3386\/w32117"},{"key":"e_1_3_5_11_1","unstructured":"Chernozhukov V. and Fern\u00e1ndez-Val I. (2017) Linear Panel Data Models under Strict and Weak Exogeneity Lecture Notes Cambridge MA: Massachusetts Institute of Technology. Available at https:\/\/ocw.mit.edu\/courses\/14-382-econometrics-spring-2017\/049489cf2ae5d050409ee2c5cbd5346f_MIT14_382S17_lec8.pdf."},{"key":"e_1_3_5_12_1","doi-asserted-by":"publisher","DOI":"10.1257\/aer.p20171038"},{"key":"e_1_3_5_13_1","doi-asserted-by":"publisher","DOI":"10.1111\/ectj.12097"},{"key":"e_1_3_5_14_1","doi-asserted-by":"publisher","DOI":"10.3982\/ECTA16294"},{"key":"e_1_3_5_15_1","doi-asserted-by":"publisher","DOI":"10.3982\/ECTA18515"},{"key":"e_1_3_5_16_1","unstructured":"Chernozhukov V. Hansen C. Kallus N. Spindler M. and Syrgkanis V. (2024) \u201cApplied Causal Inference Powered by ML and AI \u201d available at https:\/\/arxiv.org\/abs\/2403.02467."},{"key":"e_1_3_5_17_1","doi-asserted-by":"publisher","DOI":"10.1093\/ectj\/utaf011"},{"key":"e_1_3_5_18_1","doi-asserted-by":"publisher","DOI":"10.1257\/aer.20181169"},{"key":"e_1_3_5_19_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1986.10478274"},{"key":"e_1_3_5_20_1","volume-title":"Econometrics","author":"Hansen B.","year":"2022","unstructured":"Hansen, B. (2022), Econometrics, Princeton: Princeton University Press."},{"key":"e_1_3_5_21_1","volume-title":"Causal Inference: What If, Chapman & Hall\/CRC Monographs on Statistics & Applied Probab","author":"Hernan M. A.","year":"2024","unstructured":"Hernan, M. A., and Robins, J. M. (2024), Causal Inference: What If, Chapman & Hall\/CRC Monographs on Statistics & Applied Probab, Boca Raton, FL: CRC Press."},{"key":"e_1_3_5_22_1","doi-asserted-by":"publisher","DOI":"10.1017\/pan.2020.33"},{"key":"e_1_3_5_23_1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139025751"},{"key":"e_1_3_5_24_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1368-423X.2008.00243.x"},{"key":"e_1_3_5_25_1","article-title":"\u201cEstimating Continuous Treatment Effects in Panel Data Using Machine Learning with an Agricultural Application,\u201d","author":"Klosin S.","year":"2022","unstructured":"Klosin, S., and Vilgalys, M. (2022), \u201cEstimating Continuous Treatment Effects in Panel Data Using Machine Learning with an Agricultural Application,\u201d arXiv preprint arXiv:2207.08789.","journal-title":"arXiv preprint"},{"key":"e_1_3_5_26_1","doi-asserted-by":"publisher","DOI":"10.1002\/jae.1017"},{"key":"e_1_3_5_27_1","article-title":"\u201cHeterogeneous Intertemporal Treatment Effects via Dynamic Panel Data Models,\u201d","author":"Marx P.","year":"2024","unstructured":"Marx, P., Tamer, E., and Tang, X. (2024), \u201cHeterogeneous Intertemporal Treatment Effects via Dynamic Panel Data Models,\u201d arXiv preprint arXiv:2410.19060.","journal-title":"arXiv preprint"},{"key":"e_1_3_5_28_1","first-page":"128","volume-title":"Center for the Statistics and the Social Sciences","author":"Richardson T. S.","year":"2013","unstructured":"Richardson, T. S., and Robins, J. M. (2013), \u201cSingle World Intervention Graphs (SWIGS): A Unification of the Counterfactual and Graphical Approaches to Causality,\u201d in Center for the Statistics and the Social Sciences, University of Washington Series, working paper, 128."},{"key":"e_1_3_5_29_1","doi-asserted-by":"publisher","DOI":"10.2307\/1912705"},{"key":"e_1_3_5_30_1","doi-asserted-by":"publisher","DOI":"10.1037\/h0037350"},{"key":"e_1_3_5_31_1","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176344064"},{"key":"e_1_3_5_32_1","doi-asserted-by":"publisher","DOI":"10.3982\/QE1670"},{"key":"e_1_3_5_33_1","doi-asserted-by":"publisher","DOI":"10.1108\/S0731-905320160000036014"}],"container-title":["Journal of the American Statistical Association"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/01621459.2026.2696607","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.tandfonline.com\/doi\/full-xml\/10.1080\/01621459.2026.2696607","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/01621459.2026.2696607","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T21:37:18Z","timestamp":1786052238000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/01621459.2026.2696607"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,6]]},"references-count":32,"alternative-id":["10.1080\/01621459.2026.2696607"],"URL":"https:\/\/doi.org\/10.1080\/01621459.2026.2696607","relation":{},"ISSN":["0162-1459","1537-274X"],"issn-type":[{"value":"0162-1459","type":"print"},{"value":"1537-274X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,6]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=uasa20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=uasa20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2025-06-13","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-06-13","order":1,"name":"revised","label":"Revised","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-06-24","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-08-06","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}