Semi-parametric Estimation in a Single-index Model with Endogenous Variables

Semi-parametric Estimation in a Single-index Model with Endogenous Variables

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Article ID: iaor201780
Volume: 44
Issue: 1
Start Page Number: 168
End Page Number: 191
Publication Date: Mar 2017
Journal: Scandinavian Journal of Statistics
Authors: , ,
Keywords: simulation
Abstract:

We consider a semiparametric single‐index model and suppose that endogeneity is present in the explanatory variables. The presence of an instrument is assumed, that is, non‐correlated with the error term. We propose an estimator of the parametric component of the model, which is the solution of an ill‐posed inverse problem. The estimator is shown to be asymptotically normal under certain regularity conditions. A simulation study is conducted to illustrate the finite sample performance of the proposed estimator.

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