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Conjugate Processes

In: Modelling and Prediction Honoring Seymour Geisser

Author

Listed:
  • Clive W. J. Granger

    (University of California, San Diego, Department of Economics)

  • Lin Jin-Lung

    (Academia Sinica, Institute of Economics)

Abstract

Two series are said to be conjugate if each of them has dynamic structure, yet they add up to a white noise. It imposes constraints on the parameters of the data generation processes and has implications for estimation and forecasting. Simulations are carried out to study the size of efficiency gain in estimation from this additional piece of information and an empirical application is considered. In addition, the relation between conjugate processes and cointegration is investigated.

Suggested Citation

  • Clive W. J. Granger & Lin Jin-Lung, 1996. "Conjugate Processes," Springer Books, in: Jack C. Lee & Wesley O. Johnson & Arnold Zellner (ed.), Modelling and Prediction Honoring Seymour Geisser, pages 378-388, Springer.
  • Handle: RePEc:spr:sprchp:978-1-4612-2414-3_24
    DOI: 10.1007/978-1-4612-2414-3_24
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