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Detecting Neglected Parameter Heterogeneity with Chow Tests

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Author Info
Joachim Zietz

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Abstract

The paper demonstrates through a number of Monte-Carlo experiments that, for the type of cross-section data sets typically encountered in applied economics, Chow tests on sorted variations of the data matrix can detect neglected parameter heterogeneity. The paper focuses on heterogeneity in the behavioral responses of economic actors that belong to different economically meaningful groups, such as the young, middle-aged, and old. Since the suggested methodology is easy to implement yet powerful, its routine use by applied economists would be desirable given the very significant estimation bias that can result from neglecting parameter heterogeneity.

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File URL: http://www.mtsu.edu/%7Eberc/working/WP-March%202005-Zietz.pdf
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Paper provided by Middle Tennessee State University, Department of Economics and Finance in its series Working Papers with number 200503.

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Date of creation: Mar 2005
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Handle: RePEc:mts:wpaper:200503

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Web page: http://www.mtsu.edu/~berc/working/Economics_Working_Papers.html
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Related research
Keywords: Parameter Heterogeneity Chow Test Cross-Section Data Monte-Carlo Study

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Find related papers by JEL classification:
C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing

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  1. Godfrey, L G & Orme, C D, 1994. "The Sensitivity of Some General Checks to Omitted Variables in the Linear Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 35(2), pages 489-506, May. [Downloadable!] (restricted)
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  2. Chesher, Andrew D, 1984. "Testing for Neglected Heterogeneity," Econometrica, Econometric Society, vol. 52(4), pages 865-72, July. [Downloadable!] (restricted)
  3. Thursby, Jerry G., 1992. "A comparison of several exact and approximate tests for structural shift under heteroscedasticity," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 363-386. [Downloadable!] (restricted)
  4. Brock, William A & Durlauf, Steven N, 2001. "Discrete Choice with Social Interactions," Review of Economic Studies, Blackwell Publishing, vol. 68(2), pages 235-60, April.
  5. Hall, Alastair, 1987. "The Information Matrix Test for the Linear Model," Review of Economic Studies, Blackwell Publishing, vol. 54(2), pages 257-63, April. [Downloadable!] (restricted)
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  6. Zietz, Joachim, 2001. " Heteroskedasticity and Neglected Parameter Heterogeneity," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(2), pages 263-73, May. [Downloadable!] (restricted)
  7. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-94, September. [Downloadable!] (restricted)
  8. Davidson, Russell & MacKinnon, James G, 1992. "A New Form of the Information Matrix Test," Econometrica, Econometric Society, vol. 60(1), pages 145-57, January. [Downloadable!] (restricted)
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  9. White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January. [Downloadable!] (restricted)
  10. Chesher, Andrew & Spady, Richard, 1991. "Asymptotic Expansions of the Information Matrix Test Statistic," Econometrica, Econometric Society, vol. 59(3), pages 787-815, May. [Downloadable!] (restricted)
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