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Discriminating between Autocorrelation and Misspecification in

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  • Godfrey, Leslie G

Abstract

A strategy for di scriminating between autocorrelation and misspecification is proposed as an alte rnative to Jerry G. Thursby's(1981) procedure. An ordered sequence of hypothese s is formulated and tested using an autocorrelation robust check for misspecific ation and asymptotic tests of the form of the error autocorrelation model. A dis cussion of responses to the various outcomes of the tests is provided, along wit h comments on the implementation of the procedures. The strategy is only appropr iate for regression equations with exogenous regressors, but suggestions are mad e for analyzing models with lagged dependent variables. Copyright 1987 by MIT Press.

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  • Godfrey, Leslie G, 1987. "Discriminating between Autocorrelation and Misspecification in," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 128-134, February.
    • Handle: RePEc:tpr:restat:v:69:y:1987:i:1:p:128-34
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    References listed on IDEAS

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    1. Thursby, Jerry G, 1985. "A Test Strategy for Discriminating between Autocorrelation and Misspecification in Regression Analysis: Reply," The Review of Economics and Statistics, MIT Press, vol. 67(1), pages 177-178, February.
    2. Domowitz, Ian & White, Halbert, 1982. "Misspecified models with dependent observations," Journal of Econometrics, Elsevier, vol. 20(1), pages 35-58, October.
    3. Adrian R Pagan & Anthony D Hall, 1983. "Diagnostic tests as residual analysis," Published Paper Series 1983-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    4. Godfrey, L G, 1981. "On the Invariance of the Lagrange Multiplier Test with Respect to Certain Changes in the Alternative Hypothesis," Econometrica, Econometric Society, vol. 49(6), pages 1443-1455, November.
    5. Knottnerus, Paul, 1985. "A Test Strategy for Discriminating between Autocorrelation and Misspecification in Regression Analysis: A Critical Note," The Review of Economics and Statistics, MIT Press, vol. 67(1), pages 175-177, February.
    6. White, Halbert & Domowitz, Ian, 1984. "Nonlinear Regression with Dependent Observations," Econometrica, Econometric Society, vol. 52(1), pages 143-161, January.
    7. Durbin, J, 1970. "Testing for Serial Correlation in Least-Squares Regression When Some of the Regressors are Lagged Dependent Variables," Econometrica, Econometric Society, vol. 38(3), pages 410-421, May.
    8. Thursby, Jerry G, 1981. "A Test Strategy for Discriminating between Autocorrelation and Misspecification in Regression Analysis," The Review of Economics and Statistics, MIT Press, vol. 63(1), pages 117-123, February.
    9. Amemiya, Takeshi, 1973. "Generalized Least Squares with an Estimated Autocovariance Matrix," Econometrica, Econometric Society, vol. 41(4), pages 723-732, July.
    10. Porter, Richard D. & Kashyap, Anil K., 1984. "Autocorrelation and the sensitivity of reset," Economics Letters, Elsevier, vol. 14(2-3), pages 229-233.
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    4. Fong, Wai Mun, 1997. "Robust beta estimation: Some empirical evidence," Review of Financial Economics, Elsevier, vol. 6(2), pages 167-186.
    5. Baltagi, Badi H. & Li, Qi, 1995. "Testing AR(1) against MA(1) disturbances in an error component model," Journal of Econometrics, Elsevier, vol. 68(1), pages 133-151, July.
    6. Gonzalez, Jorge & Spencer, Roger & Walz, Daniel, 1999. "The information in the Mexican term structure of interest rates: capital market implications," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(2), pages 149-161, April.
    7. Wooldridge, Jeffrey M., 1991. "On the application of robust, regression- based diagnostics to models of conditional means and conditional variances," Journal of Econometrics, Elsevier, vol. 47(1), pages 5-46, January.
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    9. 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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