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Efficiency of least-squares-estimation of polynomial trend when residuals are autocorrelated

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  • Busse, Ralf
  • Jeske, Roland
  • Kramer, Walter

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  • Busse, Ralf & Jeske, Roland & Kramer, Walter, 1994. "Efficiency of least-squares-estimation of polynomial trend when residuals are autocorrelated," Economics Letters, Elsevier, vol. 45(3), pages 267-271.
    • Handle: RePEc:eee:ecolet:v:45:y:1994:i:3:p:267-271
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    Cited by:

    1. Kramer, Walter & Baltagi, Badi, 1996. "A general condition for an optimal limiting efficiency of OLS in the general linear regression model," Economics Letters, Elsevier, vol. 50(1), pages 13-17, January.
    2. Jeske, Roland & Butefisch, Thomas & Song, Seuck Heun, 1996. "The efficiency of the sample mean in a linear regression model when errors follow a first-order moving average process," Economics Letters, Elsevier, vol. 52(3), pages 235-240, September.
    3. Roland Jeske & Seuck Song, 2003. "Relative efficiency of OLSE and COTE for seasonal autoregressive disturbances," Statistical Papers, Springer, vol. 44(3), pages 421-432, July.
    4. Kramer, Walter & Michels, Sonja, 1997. "Autocorrelation- and heteroskedasticity-consistent t-values with trending data," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 141-147.

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