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Semiparametric Specification Testing of Non-nested Econometric Models

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Author Info
Delgado, Miguel A
Stengos, Thanasis

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Abstract

The authors propose a specification test of a parametrically specified nonlinear model against a weakly specified nonnested alternative. They estimate the alternative model by using nonparametric regression (nearest neighbors). The test is based on the tstatistic of an artificial regression. Monte Carlo simulations suggest that the test has good power and size characteristics. Copyright 1994 by The Review of Economic Studies Limited.

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Publisher Info
Article provided by Blackwell Publishing in its journal Review of Economic Studies.

Volume (Year): 61 (1994)
Issue (Month): 2 (April)
Pages: 291-303
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Handle: RePEc:bla:restud:v:61:y:1994:i:2:p:291-303

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  1. Russell Davidson & James G. MacKinnon, 2001. "Artificial Regressions," Working Papers 1038, Queen's University, Department of Economics. [Downloadable!]
    Other versions:
  2. Oliver Linton, 1993. "Second Order Approximation in the Partially Linear Regression Model," Cowles Foundation Discussion Papers 1065, Cowles Foundation, Yale University. [Downloadable!]
    Other versions:
  3. Miguel A. Delgado & Juan Mora, 1995. "On asymptotic inferences in non-parametric and semiparametric models with discrete and mixed regressors," Investigaciones Economicas, Fundación SEPI, vol. 19(3), pages 435-467, September. [Downloadable!]
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This page was last updated on 2009-11-22.


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