Paradox in Propensity Score Matching Estimation and the Average Treatment Effect on the Treated

• 영문명: Paradox in Propensity Score Matching Estimation and the Average Treatment Effect on the Treated
• 발행기관: 한국계량경제학회
• 저자명: Chirok Han Beomsoo Kim
• 간행물 정보: 『한국계량경제학회 학술대회 논문집』2009년 공동학술대회, 1~8쪽, 전체 8쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2008.11.30

영문 초록

In the study we examine the existence of the paradox that using the true propensity scores makes the propensity score matching estimator worse than using the estimated propensity scores in the estimation of the average treatment effect on the treated (ATT). Using a parametric specification of propensity score and standard GMM framework, we show that a variant of the paradox exists in the estimation of ATT as well. We also compare using the average treatment and using the average propensity in intuitive infeasible estimation of ATT and show that nothing dominates the other.

목차

1 Introduction

2 Paradox in Estimation of Average Treatment Effects

3 Average Propensity or Average Participation

4 Concluding Remarks