Causal Inference in Theory and Practice

オオクボ, ショウキ

Okubo, Shoki

オオサカ ダイガク ダイガクイン ニンゲン カガク ケンキュウカ シャカイガク ニンゲンガク ジンルイガク ケンキュウシツ

Sociology, Anthropology and Philosophy, Graduate School of Human Sciences, Osaka University

ランダム化比較実験

操作変数法

RDD

DiD

Causal Inference

Randomized Controlled Trial

Instrumental Variables

Regression Discontinuity Design

Differences-in-Differences

This paper introduces theory and practice of causal inference and discusses how to esti- mate causal effects. We fi rst discuss how randomized experiments allows us to assess causal effects and then turn to observational studies. We lay out the assumptions needed for causal inference and describe the leading analysis methods, including regression, instrumental vari- ables, regression discontinuity and differences-in-differences.