Partial Identification of Marginal Treatment Effects with discrete instruments and misreported treatment

Abstract

This paper provides partial identification results for the marginal treatment effect ($MTE$) when the binary treatment variable is potentially misreported and the instrumental variable is discrete. Identification results are derived under different sets of nonparametric assumptions. The identification results are illustrated in identifying the marginal treatment effects of food stamps on health.

References in corpus (2)

• Identifying the effect of a mis-classified, binary, endogenous regressor
• Crime and Mismeasured Punishment: Marginal Treatment Effect with Misclassification