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Optimality For The Integrated Conditional Moment Test

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Author Info
Boning, Wm. Brent
Sowell, Fallaw

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Abstract

This paper proposes a version of the integrated conditional moment (ICM) test that is optimal for a class of composite alternatives. The ICM test is built on the fact that a random function based on a correctly specified model should have zero mean, whereas any misspecification in the conditional mean implies a divergent mean for the random function. We derive test statistics that are optimal for each basis element of an orthonormal decomposition of the function space for which the random function is an element. We then use a weighted summation of these test statistics to compose the single test statistic that is optimal for any pair of alternatives that are symmetric about zero. This test is equivalent to using a particular measure in the ICM test of Bierens and Ploberger (1997, Econometrica 65, 1129 1152).

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File URL: http://journals.cambridge.org/abstract_S026646669915504X
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Publisher Info
Article provided by Cambridge University Press in its journal Econometric Theory.

Volume (Year): 15 (1999)
Issue (Month): 05 (October)
Pages: 710-718
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:cup:etheor:v:15:y:1999:i:05:p:710-718_15

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  1. Herman J. Bierens & Jose R. Carvalho, 2007. "Semi-nonparametric competing risks analysis of recidivism," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(5), pages 971-993. [Downloadable!]
  2. Liangjun Su & Halbert White, 2004. "Testing Conditional Independence Via Empirical Likelihood," University of California at San Diego, Economics Working Paper Series 2003-14, Department of Economics, UC San Diego. [Downloadable!]
  3. Liangjun Su & Halbert White, 2003. "A Consistent Characteristic-Fuction-Based Test for Conditional Independence," University of California at San Diego, Economics Working Paper Series 2003-11, Department of Economics, UC San Diego. [Downloadable!]
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