Testing exclusion restrictions at infinity in the semiparametric selection model

Arbeitspapier

The control function in the semiparametric selection model is zero at infinity. This paper proposes additional restrictions of the same type and shows how to use them to test assumed exclusion restrictions necessary for root N estimation of the model. The test is based on the estimated control function and its derivative and takes the form of a GMM step that occurs at infinity. Alternative estimation of the parameters are proposed which do not rely on exclusion restrictions, extending available results for the estimation of the intercept at infinity. Simulations are implemented.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: IZA Discussion Papers ; No. 2035

Classification and Topics

• Classification: Wirtschaft ; Semiparametric and Nonparametric Methods: General ; Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models ; Multiple or Simultaneous Equation Models: Truncated and Censored Models; Switching Regression Models
• Subject: policy evaluation ; sample selection ; exclusion restriction ; semi parametric estimation

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Crépon, Bruno
• Event: Veröffentlichung
• (who): Institute for the Study of Labor (IZA)
• (where): Bonn
• (when): 2006

Further information

• Handle: http://hdl.handle.net/10419/33487
• Last update: 10.03.2025, 11:44 AM CET