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The efficiency of the sample mean in a linear regression model when errors follow a first-order moving average process

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  • Jeske, Roland
  • Butefisch, Thomas
  • Song, Seuck Heun

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  • 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.
    • Handle: RePEc:eee:ecolet:v:52:y:1996:i:3:p:235-240
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    References listed on IDEAS

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    1. 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.
    2. Kramer, Walter, 1982. "Note on Estimating Linear Trend When Residuals are Autocorrelated," Econometrica, Econometric Society, vol. 50(4), pages 1065-1067, July.
    3. Chipman, John S, 1979. "Efficiency of Least-Squares Estimation of Linear Trend when Residuals are Autocorrelated," Econometrica, Econometric Society, vol. 47(1), pages 115-128, January.
    4. Balestra, Pietro, 1980. "A note on the exact transformation associated with the first-order moving average process," Journal of Econometrics, Elsevier, vol. 14(3), pages 381-394, December.
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    Cited by:

    1. 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.

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