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INTEGRATED CONDITIONAL MOMENT TESTS FOR PARAMETRIC CONDITIONAL DISTRIBUTIONS

Published online by Cambridge University Press:  02 August 2011

Herman J. Bierens  and
Li Wang
Herman J. Bierens*
Affiliation:
Pennsylvania State University
Li Wang
Affiliation:
Penn State College of Medicine
*
*Address correspondence to Herman J. Bierens, Department of Economics and CAPCP, Pennsylvania State University, 510 Kern Graduate Building, University Park, PA 16802, USA; e-mail: hbierens@psu.edu.
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Abstract

In this paper we propose consistent integrated conditional moment tests for the validity of parametric conditional distribution models, based on the integrated squared difference between the empirical characteristic function of the actual data and the characteristic function implied by the model. To avoid numerical evaluation of the conditional characteristic function of the model distribution, a simulated integrated conditional moment test is proposed. As an empirical application we test the validity of a few common health economic count data models.

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ARTICLES
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Econometric Theory , Volume 28 , Issue 2 , April 2012 , pp. 328 - 362
Copyright
Copyright © Cambridge University Press 2011

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