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Generalized Least Squares with an Estimated Autocovariance Matrix

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  • Amemiya, Takeshi

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  • Amemiya, Takeshi, 1973. "Generalized Least Squares with an Estimated Autocovariance Matrix," Econometrica, Econometric Society, vol. 41(4), pages 723-732, July.
    • Handle: RePEc:ecm:emetrp:v:41:y:1973:i:4:p:723-32
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    Cited by:

    1. Hakkio, Craig S, 1981. "Expectations and the Forward Exchange Rate," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 22(3), pages 663-678, October.
    2. Binder, Michael & Hsiao, Cheng & Pesaran, M. Hashem, 2005. "Estimation And Inference In Short Panel Vector Autoregressions With Unit Roots And Cointegration," Econometric Theory, Cambridge University Press, vol. 21(4), pages 795-837, August.
    3. 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.
    4. McNulty, Mark S., 1985. "Information usage in the formation of price expectations: theory and econometric tests," ISU General Staff Papers 1985010108000013085, Iowa State University, Department of Economics.
    5. Mayer, Alexander, 2020. "(Consistently) testing strict exogeneity against the alternative of predeterminedness in linear time-series models," Economics Letters, Elsevier, vol. 193(C).
    6. Choudhury, Askar H. & Power, Simon, 1995. "A new approximate GLS estimator for the linear regression model with ARMA(p, q) disturbances," Economics Letters, Elsevier, vol. 48(2), pages 119-127, May.
    7. Mahmoud MOURAD, 2021. "Impact of Socio-Economic Variables on Life Expectancy: An Empirical Study for 138 Countries," Journal of Public Administration and Governance, Macrothink Institute, vol. 11(1), pages 330346-3303, December.
    8. Baillie, Richard T. & Kim, Kun Ho, 2018. "Choices between OLS with robust inference and feasible GLS in time series regressions," Economics Letters, Elsevier, vol. 171(C), pages 218-221.
    9. David Mandy & Sandor Fridli, 2004. "Exact FGLS Asymptotics for MA Errors," Working Papers 0405, Department of Economics, University of Missouri, revised 16 Dec 2004.
    10. Palm, Franz & Zellner, Arnold, 1981. "Large sample estimation and testing procedures for dynamic equation systems," Journal of Econometrics, Elsevier, vol. 17(1), pages 131-138, September.
    11. J. Fernández & W. Manteiga, 2001. "Generalized minimum distance estimators of a linear model with correlated errors," Statistical Papers, Springer, vol. 42(3), pages 353-373, July.
    12. Richard Meese, 1978. "Distributed lag order determination," International Finance Discussion Papers 126, Board of Governors of the Federal Reserve System (U.S.).
    13. Durlauf, Steven N & Phillips, Peter C B, 1988. "Trends versus Random Walks in Time Series Analysis," Econometrica, Econometric Society, vol. 56(6), pages 1333-1354, November.
    14. Mnasri, Ayman & Nechi, Salem, 2021. "New nonlinear estimators of the gravity equation," Economic Modelling, Elsevier, vol. 95(C), pages 192-202.
    15. Andrews, Donald W K, 1986. "A Note on the Unbiasedness of Feasible GLS, Quasi-maximum Likelihood, Robust, Adaptive, and Spectral Estimators of the Linear Model," Econometrica, Econometric Society, vol. 54(3), pages 687-698, May.
    16. George Kapetanios & Zacharias Psaradakis, 2007. "Semiparametric Sieve-Type GLS Inference in Regressions with Long-Range Dependence," Working Papers 587, Queen Mary University of London, School of Economics and Finance.
    17. Sarker, Rakhal, 1990. "Testing Causality in Economics: A Review," Department of Agricultural Economics and Business 258629, University of Guelph.
    18. Fitzenberger, Bernd, 1998. "The moving blocks bootstrap and robust inference for linear least squares and quantile regressions," Journal of Econometrics, Elsevier, vol. 82(2), pages 235-287, February.
    19. George Kapetanios & Zacharias Psaradakis, 2007. "Semiparametric Sieve-Type GLS Inference in Regressions with Long-Range Dependence," Working Papers 587, Queen Mary University of London, School of Economics and Finance.
    20. Richard T. Baillie & Kun Ho Kim, 2016. "Is Robust Inference with OLS Sensible in Time Series Regressions? Investigating Bias and MSE Trade-offs with Feasible GLS and VAR Approaches," Working Paper series 16-04, Rimini Centre for Economic Analysis.
    21. Valeria D’Amato & Steven Haberman & Gabriella Piscopo & Maria Russolillo, 2014. "Computational framework for longevity risk management," Computational Management Science, Springer, vol. 11(1), pages 111-137, January.
    22. George Kapetanios & Zacharias Psaradakis, 2016. "Semiparametric Sieve-Type Generalized Least Squares Inference," Econometric Reviews, Taylor & Francis Journals, vol. 35(6), pages 951-985, June.

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