Estimating a class of triangular simultaneous equations models without exclusion restrictions
AbstractThis paper provides a control function estimator to adjust for endogeneity in the triangular simultaneous equations model where there are no available exclusion restrictions to generate suitable instruments. Our approach is to exploit the dependence of the errors on exogenous variables (e.g. heteroscedasticity) to adjust the conventional control function estimator. The form of the error dependence on the exogenous variables is subject to restrictions, but is not parametrically specified. In addition to providing the estimator and deriving its large-sample properties, we present simulation evidence which indicates the estimator works well.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Econometrics.
Volume (Year): 154 (2010)
Issue (Month): 2 (February)
Contact details of provider:
Web page: http://www.elsevier.com/locate/jeconom
Triangular semiparametric models Heteroscedasticity Identification;
Other versions of this item:
- Roger Klein & Francis Vella, 2005. "Estimating a class of triangular simultaneous equations models without exclusion restrictions," CeMMAP working papers CWP08/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Klein, Roger & Vella, Francis, 2006. "Estimating a Class of Triangular Simultaneous Equations Models Without Exclusion Restrictions," IZA Discussion Papers 2378, Institute for the Study of Labor (IZA).
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
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