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January 2019

Kosuke Imai, Harvard University

January 23, 2019 @ 12:00 pm - 1:30 pm
CCPR Seminar Room, 4240 Public Affairs Building, Los Angeles, CA, 90095, United States, 5201 Sumner Ave United States

Title: Matching Methods for Causal Inference with Time-Series Cross-Section Data Abstract: Matching methods aim to improve the validity of causal inference in observational studies by reducing model dependence and offering intuitive diagnostics. While they have become a part of standard tool kit for empirical researchers across disciplines, matching methods are rarely used when analyzing time-series cross-section (TSCS) data, which consist of a relatively large number of repeated measurements on the same units. We develop a methodological framework that enables the…

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