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Specification and estimation of semiparametric multiple-index models

By Bas Donkers and Marcia M. A. Schafgans


We propose an easy to use derivative-based two-step estimation procedure for semiparametric index models, where the number of indexes is not known a priori. In the first step various functionals involving the derivatives of the unknown function are estimated using nonparametric kernel estimators, in particular the average outer product of the gradient (AOPG). By testing the rank of the AOPG we determine the required number of indexes. Subsequently, we estimate the index parameters in a method of moments framework, with moment conditions constructed using the estimated average derivative functionals. The estimator readily extends to multiple equation models and is shown to be root-N-consistent and asymptotically normal

Topics: HB Economic Theory
Publisher: Cambridge University Press
Year: 2008
DOI identifier: 10.1017/S0266466608080626
OAI identifier:
Provided by: LSE Research Online
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