Detecting Neglected Parameter Heterogeneity with Chow Tests
AbstractThe 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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Bibliographic InfoPaper provided by Middle Tennessee State University, Department of Economics and Finance in its series Working Papers with number 200503.
Date of creation: Mar 2005
Date of revision:
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Web page: http://www.mtsu.edu/~berc/working/Economics_Working_Papers.html
More information through EDIRC
Parameter Heterogeneity; Chow Test; Cross-Section Data; Monte-Carlo Study;
Other versions of this item:
- Joachim Zietz, 2006. "Detecting neglected parameter heterogeneity with Chow tests," Applied Economics Letters, Taylor & Francis Journals, vol. 13(6), pages 369-374.
- 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, Validation, and Selection
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-08-13 (All new papers)
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- Brock,W.A. & Durlauf,S.N., 2000.
"Discrete choice with social interactions,"
7, Wisconsin Madison - Social Systems.
- 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.
- Hall, A.R., 1984.
"The Information Matrix Test for the Linear Model,"
The Warwick Economics Research Paper Series (TWERPS)
250, University of Warwick, Department of Economics.
- 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.
- 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.
- Les Godfrey & Chris Orme, . "The Sensitivity of some General Checks to Omitted Variables in the Linear Model," Discussion Papers 92/3, Department of Economics, University of York.
- 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.
- White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-38, May.
- Chesher, Andrew D, 1984. "Testing for Neglected Heterogeneity," Econometrica, Econometric Society, vol. 52(4), pages 865-72, July.
- Chesher, Andrew & Spady, Richard, 1991. "Asymptotic Expansions of the Information Matrix Test Statistic," Econometrica, Econometric Society, vol. 59(3), pages 787-815, May.
- Russell Davidson & James G. MacKinnon, 1988.
"A New Form of the Information Matrix Test,"
724, Queen's University, Department of Economics.
- White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
- Ann-Sofie Isaksson, 2011.
"Social divisions and institutions: assessing institutional parameter variation,"
Springer, vol. 147(3), pages 331-357, June.
- Isaksson, Ann-Sofie, 2008. "Social divisions and institutions: Assessing institutional parameter variation," Working Papers in Economics 282, University of Gothenburg, Department of Economics, revised 01 Aug 2008.
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