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Causal Complexity: Effect Heterogeneity, Mediation, and Generalization
Fri, September 6, 2:00 to 3:30pm, Pennsylvania Convention Center (PCC), 111ASession Submission Type: Created Panel
Session Description
This panel showcases advances aimed at better understanding treatment effect heterogeneity and mechanisms in political science. The papers address challenges in evaluating policy interventions, critique conventional practices for analyzing heterogenous treatment effects, study the properties of individualized treatment regimes, and propose innovative approaches to causal mediation and the generalization of experimental findings.
Sub Unit
Individual Presentations
Experimental Evaluation of Individualized Dynamic Treatment Rules - Jiongyi Cao, Tsinghua University; Kosuke Imai, Harvard University; Michael Lingzhi Li, Harvard Business School
You Should (Probably) Not Split Your Sample - Iasmin Goes, Colorado State University; Daniel Weitzel, Colorado State University
On the Difficulty of Establishing Causal Mechanisms without Mediation - Matthew Blackwell, Harvard University; Ruofan Ma, Harvard University; Aleksei Opacic
Adapting Field Experiments to Improve Generalizabilit - Raymond Duch, CESS Nuffield