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Activity Details

271 * Tue, 8/1/2017, 8:30 AM - 10:20 AM CC-317
Methodological Challenges for Handling Unmeasured Confounders in Causal Inference with Social Science Data — Invited Papers
Social Statistics Section , Business and Economic Statistics Section , Section on Statistics in Epidemiology
Organizer(s): Hyunseung Kang, Economics, Stanford Graduate School of Business, Stanford University
Chair(s): Hyunseung Kang, Economics, Stanford Graduate School of Business, Stanford University
8:35 AM Inference in an Instrumental Variables Model with Heterogeneous Treatment Effects and Many Instruments Michal Kolesar, Princeton University ; Kirill Evdokimov, Princeton University
9:00 AM When Should We Use Linear Fixed Effects Regression Models for Causal Inference with Longitudinal Data? Kosuke Imai, Princeton University ; In Song Kim, MIT
9:25 AM Recovering Causal Effects from an Experimental Benchmark Using Multilevel Matching Luke Keele, Georgetown University ; Samuel Pimentel, Wharton
9:50 AM "Methodological Challenges for Handling Unmeasured Confounders in Causal Inference with Social Science Data — Reagan M Rose, Harvard University ; Luke Miratrix, Harvard University ; Aaron Kaufman, Harvard University ; Jason Anastasopoulos, University of Georgia
 
 
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