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