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The Inappropriate Use of Serial Correlation Tests in Dynamic Linear Models

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  • Dezhbakhsh, Hashem

Abstract

A survey of several economic journals reveals that very often the Durbin-Watson and the portmanteau (Box-Pierce or Ljung-Box) tests are inappropriately applied to linear models with lagged dependent variables and exogenous regressors. Sampling experiments indicate that the Durbin-Watson performs poorly in models with more than one lag of the dependent variable, a situation commonly considered in the literature. The experiments also indicate that the portmanteau test is inadequate when applied to dynamic linear models with exogenous regressors. In addition, the performance of Durbin's h and m tests in models commonly used in the literature but not considered by previous studies is evaluated. The results reveal that among the four tests examined, the one which is the least frequently used in practice (the m test) has the best performance. Copyright 1990 by MIT Press.

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  • Dezhbakhsh, Hashem, 1990. "The Inappropriate Use of Serial Correlation Tests in Dynamic Linear Models," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 126-132, February.
  • Handle: RePEc:tpr:restat:v:72:y:1990:i:1:p:126-32
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    Cited by:

    1. Klaus Grobys, 2015. "Size distortions of the wild bootstrapped HCCME-based LM test for serial correlation in the presence of asymmetric conditional heteroskedasticity," Empirical Economics, Springer, vol. 48(3), pages 1189-1202, May.
    2. Godfrey, L.G., 2007. "Alternative approaches to implementing Lagrange multiplier tests for serial correlation in dynamic regression models," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3282-3295, April.
    3. Andrea Vaona & Guido Ascari, 2012. "Regional Inflation Persistence: Evidence from Italy," Regional Studies, Taylor & Francis Journals, vol. 46(4), pages 509-523, June.
    4. Ringlund, Guro Bornes & Rosendahl, Knut Einar & Skjerpen, Terje, 2008. "Does oilrig activity react to oil price changes An empirical investigation," Energy Economics, Elsevier, vol. 30(2), pages 371-396, March.
    5. Giovanni Millo, 2016. "The Income Elasticity of Nonlife Insurance: A Reassessment," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(2), pages 335-362, June.
    6. Godfrey, L.G. & Tremayne, A.R., 2005. "The wild bootstrap and heteroskedasticity-robust tests for serial correlation in dynamic regression models," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 377-395, April.
    7. Jean-Marie DUFOUR & Lynda KHALAF & Marcel VOIA, 2013. "Finite-Sample Resampling-Based Combined Hypothesis Tests, with Applications to Serial Correlation and Predictability," Cahiers de recherche 13-2013, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    8. Robert S. Chirinko & Christopher Curran, 2013. "Greenspan Shrugs: Central Bank Communication, Formal Pronouncements and Bond Market Volatility," CESifo Working Paper Series 4236, CESifo Group Munich.
    9. Darrat, Ali F. & Al-Mutawa, Ahmed, 1996. "Modelling money demand in the United Arab Emirates," The Quarterly Review of Economics and Finance, Elsevier, vol. 36(1), pages 65-87.
    10. Beck, Martin & Winker, Peter, 2004. "Modeling spillovers and feedback of international trade in a disequilibrium framework," Economic Modelling, Elsevier, vol. 21(3), pages 445-470, May.
    11. Godfrey, Leslie G., 1998. "Hausman tests for autocorrelation in the presence of lagged dependent variables Some further results," Journal of Econometrics, Elsevier, vol. 82(2), pages 197-207, February.
    12. Andrea Vaona, 2008. "Inflation persistence, structural breaks and omitted variables: a critical view," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 0802, USI Università della Svizzera italiana.

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