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Testing for Coefficient Constancy in Random Walk Models with Particular Reference to the Initial Value Problem

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  • Leybourne, S J
  • McCabe, B P M

Abstract

This article is concerned with Locally Best Invariant tests for coefficient stability in a univariate random walk coefficient regression model. In particular, we explore the effects that different assumptions about the initial value of the random walk process have on the form and asymptotic distribution of the resulting test statistics. When this initial value is allowed to be random, it is shown that the test statistics are either exactly the same, or possess the same asymptotic distributions, as when the initial value is fixed.

Suggested Citation

  • Leybourne, S J & McCabe, B P M, 1989. "Testing for Coefficient Constancy in Random Walk Models with Particular Reference to the Initial Value Problem," Empirical Economics, Springer, vol. 14(2), pages 105-112.
    • Handle: RePEc:spr:empeco:v:14:y:1989:i:2:p:105-12
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    Cited by:

    1. Sahbi FARHANI, 2012. "Tests of Parameters Instability: Theoretical Study and Empirical Analysis on Two Types of Models (ARMA Model and Market Model)," International Journal of Economics and Financial Issues, Econjournals, vol. 2(3), pages 246-266.

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