Threshold Crossing Models and Bounds on Treatment Effects: A Nonparametric Analysis

Joint with: Econometrics Workshop

This paper considers the evaluation of the average treatment effect of a binary endogenous

regressor on a binary outcome when one imposes a threshold crossing model on both the endogenous regressor and the outcome variable but without imposing parametric functional form or distributional assumptions. Without parametric restrictions, the average effect of the binary

endogenous variable is not generally point identified. This paper constructs sharp bounds on the average effect of the endogenous variable that exploit the structure of the threshold crossing models and any exclusion restrictions. We also develop methods for inference on the resulting

bounds.

For more information, contact Jere Behrman.