Identification of Treatment Effects Using Control Functions in Models with Continuous, Endogenous Treatment and Heterogeneous Effects /

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 alternat...

Ausführliche Beschreibung

1. Verfasser:

Florens, J. P.

Körperschaft:

National Bureau of Economic Research

Weitere Verfasser:

Heckman, James J., Meghir, Costas, Vytlacil, Edward J.

Format:

Elektronisch E-Book

Sprache:

Englisch

Veröffentlicht:

Cambridge, Mass. National Bureau of Economic Research 2008.

Zusammenfassung:

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.

Umfang:

1 online resource: illustrations (black and white);

Anmerkungen:

May 2008.

Schlagworte:

Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions

Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions • Social Interaction Models