A GMM interpretation of the paradox in the inverse probability weighting estimation of the average treatment effect on the treated

C-Tier
Journal: Economics Letters
Year: 2011
Volume: 110
Issue: 2
Pages: 163-165

Score contribution per author:

0.503 = (α=2.01 / 2 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

By treating one nuisance parameter as two distinct parameters and using some moment conditions twice, we provide an explanation to a paradox in the inverse probability weighting estimation of the average treatment effect on the treated.

Technical Details

RePEc Handle
repec:eee:ecolet:v:110:y:2011:i:2:p:163-165
Journal Field
General
Author Count
2
Added to Database
2026-01-25