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Generalized least squares transformation and estimation with autoregressive error

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  • Vougas, Dimitrios V.

Abstract

Approximations of the usual GLS transformation matrices are proposed for estimation with AR error that remove boundary discontinuities. The proposed method avoids constrained optimization or rules of thumb that unnecessarily enforce estimated parameters to be in the interior.

Suggested Citation

  • Vougas, Dimitrios V., 2008. "Generalized least squares transformation and estimation with autoregressive error," Statistics & Probability Letters, Elsevier, vol. 78(4), pages 402-404, March.
    • Handle: RePEc:eee:stapro:v:78:y:2008:i:4:p:402-404
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    References listed on IDEAS

    as
    1. Donald W. K. Andrews, 1999. "Estimation When a Parameter Is on a Boundary," Econometrica, Econometric Society, vol. 67(6), pages 1341-1384, November.
    2. Beach, Charles M. & MacKinnon, James G., 1978. "Full maximum likelihood estimation of second- order autoregressive error models," Journal of Econometrics, Elsevier, vol. 7(2), pages 187-198, June.
    3. Dufour, Jean-Marie & King, Maxwell L., 1991. "Optimal invariant tests for the autocorrelation coefficient in linear regressions with stationary or nonstationary AR(1) errors," Journal of Econometrics, Elsevier, vol. 47(1), pages 115-143, January.
    4. Beach, Charles M & MacKinnon, James G, 1978. "A Maximum Likelihood Procedure for Regression with Autocorrelated Errors," Econometrica, Econometric Society, vol. 46(1), pages 51-58, January.
    5. Dufour, Jean-Marie, 1990. "Exact Tests and Confidence Sets in Linear Regressions with Autocorrelated Errors," Econometrica, Econometric Society, vol. 58(2), pages 475-494, March.
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