ESTIMATION OF A SEMIPARAMETRIC TRANSFORMATION MODEL IN THE PRESENCE OF ENDOGENEITY

Vanhems, Anne;Van Keilegom, Ingrid
(2019) Econometric Theory — Vol. 35, n° 1, p. 73-110 (2018)

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Abstract
We consider a semiparametric transformation model, in which the regression function has an additive nonparametric structure and the transformation of the response is assumed to belong to some parametric family. We suppose that endogeneity is present in the explanatory variables. Using a control function approach, we show that the proposed model is identified under suitable assumptions, and propose a profile estimation method for the transformation. The proposed estimator is shown to be asymptotically normal under certain regularity conditions. A simulation study shows that the estimator behaves well in practice. Finally, we give an empirical example using the U.K. Family Expenditure Survey.
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Vanhems, A., & Van Keilegom, I. (2019). ESTIMATION OF A SEMIPARAMETRIC TRANSFORMATION MODEL IN THE PRESENCE OF ENDOGENEITY. Econometric Theory, 35(1), 73-110. https://doi.org/10.1017/s0266466618000026 (Original work published 2018)