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Non-Nested Testing in Models Estimated via Generalized Method of Moments

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Author Info
Alastair R. Hall () (Economics, School of Social Sciences, University of Manchester)
Denis Pelletier () (Department of Economics, North Carolina State University)

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Abstract

Rivers and Vuong (2002) develop a very general framework for choosing between two competing dynamic models. Within their framework, inference is based on a statistic that compares measures of goodness of fit between the two models. The null hypothesis is that the models have equal measures of goodness of fit; one model is preferred if its goodness of fit is statistically significantly smaller than its competitor. Under the null hypothesis, Rivers and Vuong (2002) show that their test statistic has a standard normal distribution under generic conditions that are argued to allow for a variety of estimation methods including Generalized Method of Moments (GMM). In this paper, we analyze the limiting distribution of Rivers and Vuong's (2002) statistic under the null hypothesis when inference is based on a comparison of GMM minimands evaluated at GMM estimators. It is shown that the limiting behaviour of this statistic depends on whether the models in question are correctly specified, locally misspecified or misspecified. Specifically, it is shown that: (i) if both models are correctly specified or locally misspecified then Rivers and Vuong's (2002) generic conditions are not satisfied, and the limiting distribution of the test statistic is non-standard under the null; (ii) if both models are misspecified then the generic conditions are satisfied, and so the statistic has a standard normal distribution under the null. In the latter case it is shown that the choice of weighting matrices affects the outcome of the test and thus the ranking of the models.

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Publisher Info
Paper provided by North Carolina State University, Department of Economics in its series Working Paper Series with number 011.

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Length: 40 pages
Date of creation: Mar 2007
Date of revision: Mar 2007
Handle: RePEc:ncs:wpaper:011

Note: First draft 2007-03
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Related research
Keywords: Generalized Method of Moments; Non-nested Hypothesis Testing; Model Selection;

Find related papers by JEL classification:
C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    Other versions:
  5. Céline Nauges & Alban Thomas, 2003. "Long-run Study of Residential Water Consumption," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 26(1), pages 25-43, September. [Downloadable!] (restricted)
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  11. Alastair R. Hall, 2000. "Covariance Matrix Estimation and the Power of the Overidentifying Restrictions Test," Econometrica, Econometric Society, vol. 68(6), pages 1517-1528, November.
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  13. Douglas Rivers & Quang Vuong, 2002. "Model selection tests for nonlinear dynamic models," Econometrics Journal, Royal Economic Society, vol. 5(1), pages 1-39, June. [Downloadable!] (restricted)
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    Other versions:
  15. Wooldridge, Jeffrey M., 1986. "Estimation and inference for dependent processes," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 45, pages 2639-2738 Elsevier. [Downloadable!] (restricted)
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Cited by:
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  1. Hnatkovska, Viktoria & Marmer, Vadim & Tang, Yao, 2008. "Comparison of Misspecified Calibrated Models: The Minimum Distance Approach," Micro Theory Working Papers vadim_marmer-2008-14, Microeconomics.ca Website, revised 17 Dec 2008. [Downloadable!]
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