Inverse Probability Tilting for Moment Condition Models with Missing Data

Bryan Graham, Cristine Pinto and Daniel Egel

The Review of Economic Studies, 2012, vol. 79, issue 3, 1053-1079

Abstract: We propose a new inverse probability weighting (IPW) estimator for moment condition models with missing data. Our estimator is easy to implement and compares favourably with existing IPW estimators, including augmented IPW estimators, in terms of efficiency, robustness, and higher-order bias. We illustrate our method with a study of the relationship between early Black--White differences in cognitive achievement and subsequent differences in adult earnings. In our data set, the early childhood achievement measure, the main regressor of interest, is missing for many units. Copyright , Oxford University Press.

Date: 2012
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Working Paper: Inverse Probability Tilting for Moment Condition Models with Missing Data (2008)
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