{"id":42391,"date":"2025-08-22T10:18:02","date_gmt":"2025-08-22T14:18:02","guid":{"rendered":"https:\/\/www.bu.edu\/cise\/?page_id=42391"},"modified":"2025-10-12T10:58:59","modified_gmt":"2025-10-12T14:58:59","slug":"cise-seminar-alberto-abadie-massachusetts-institute-of-technology","status":"publish","type":"page","link":"https:\/\/www.bu.edu\/cise\/cise-seminar-alberto-abadie-massachusetts-institute-of-technology\/","title":{"rendered":"CISE Seminar: Alberto Abadie, Massachusetts Institute of Technology"},"content":{"rendered":"

Date: October 24, 2025
\nTime: 3:00pm \u2013 4:00pm
\nLocation: 665 Commonwealth Ave., CDS 1101<\/span><\/p>\n

Alberto Abadie<\/b><\/span>
\nProfessor of Economics<\/span><\/strong><\/span>
\nMassachusetts Institute of Technology<\/span><\/strong><\/span><\/h4>\n

\"\"<\/strong><\/p>\n

Doubly Robust Inference in Causal Latent Factor Models<\/i> (joint with A. Agarwal, R. Dwivedi, and A. Shah)<\/strong><\/p>\n

This article introduces a new estimator of average treatment effects under unobserved confounding in modern data-rich environments featuring large numbers of units and outcomes. The proposed estimator is doubly robust, combining outcome imputation, inverse probability weighting, and a novel cross-fitting procedure for matrix completion. We derive finite-sample and asymptotic guarantees, and show that the error of the new estimator converges to a mean-zero Gaussian distribution at a parametric rate. Simulation results demonstrate the relevance of the formal properties of the estimators analyzed in this article.<\/p>\n

Dr. Abadie<\/strong> is an econometrician and empirical microeconomist with broad disciplinary interests. He received his Ph.D. in Economics from MIT in 1999. Upon graduating, he joined the faculty at the Harvard Kennedy School, where he was promoted to full professor in 2005. He returned to MIT in 2016, where he is a Professor of Economics.<\/p>\n

His research areas include econometrics, causal inference, and program evaluation. His methodological research focuses on econometric methods to estimate causal effects, particularly the effects of public policies, such as labor market, education, and health policy interventions. He has served as Editor of the Review of Economics and Statistics<\/em> and Associate Editor of AER: Insights<\/em>, Econometrica<\/em>, and the Journal of Business and Economic Statistics<\/em>. He is a Fellow of the Econometric Society and a Member of the American Academy of Arts and Sciences.<\/p>\n

Faculty Host: <\/strong>Jinglong Zhao
\nStudent Host:<\/strong> Onur Okuducu<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Date: October 24, 2025 Time: 3:00pm \u2013 4:00pm Location: 665 Commonwealth Ave., CDS 1101 Alberto Abadie Professor of Economics Massachusetts Institute of Technology Doubly Robust Inference in Causal Latent Factor Models (joint with A. Agarwal, R. Dwivedi, and A. Shah) This article introduces a new estimator of average treatment effects under unobserved confounding in modern […]<\/p>\n","protected":false},"author":25166,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/no-sidebars.php","meta":[],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/pages\/42391"}],"collection":[{"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/users\/25166"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/comments?post=42391"}],"version-history":[{"count":5,"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/pages\/42391\/revisions"}],"predecessor-version":[{"id":42917,"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/pages\/42391\/revisions\/42917"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/media?parent=42391"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}