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Double Length Regressions for Testing the Box-Cox Difference Transformation

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  • Park, Timothy

Abstract

The Box-Cox difference transformation is used to determine the appropriate specification for estimation of hedge ratios and a new double length regression form of the Lagrange multiplier test is presented for the difference transformation. The Box-Cox difference transformation allows the testing of the first difference model and the returns model as special cases of the Box-Cox difference transformation. Copyright 1991 by MIT Press.

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  • Park, Timothy, 1991. "Double Length Regressions for Testing the Box-Cox Difference Transformation," The Review of Economics and Statistics, MIT Press, vol. 73(1), pages 181-185, February.
  • Handle: RePEc:tpr:restat:v:73:y:1991:i:1:p:181-85
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    Cited by:

    1. Baltagi, Badi H. & Li, Dong, 2000. "Double-length regressions for the Box-Cox difference model with heteroskedasticity or autocorrelation," Economics Letters, Elsevier, vol. 69(1), pages 9-14, October.
    2. Wai Cheung Ip, 2000. "An Exact Test For The Choice Of The Combination Of First Differences And Percentage Changes In Linear Models," Computing in Economics and Finance 2000 31, Society for Computational Economics.

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