Working Paper: NBER ID: w14002
Authors: Jean-Pierre Florens; James J. Heckman; Costas Meghir; Edward J. Vytlacil
Abstract: We use the control function approach to identify the average treatment effect and the effect of treatment on the treated in models with a continuous endogenous regressor whose impact is heterogeneous. We assume a stochastic polynomial restriction on the form of the heterogeneity but, unlike alternative nonparametric control function approaches, our approach does not require large support assumptions.
Keywords: No keywords provided
JEL Codes: C21; C31
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| control function approach (E61) | average treatment effect (ATE) (C22) |
| control function approach (E61) | treatment effect on the treated (TT) (C22) |
| smoothness and measurable separability of treatment and control variables (C32) | average treatment effect (ATE) (C22) |
| smoothness and measurable separability of treatment and control variables (C32) | treatment effect on the treated (TT) (C22) |