Testing for Coefficient Stability of AR(1) Model When the Null is an Integrated or a Stationary Process

No 07-E-20, IMES Discussion Paper Series from Institute for Monetary and Economic Studies, Bank of Japan

Abstract: In this paper, we propose a test for coefficient stability of an AR(1) model against the random coefficient autoregressive model of order 1 or RCA(1) model without assuming a stationary nor a non- stationary process under the null hypothesis of constant coefficient. The proposed test is obtained as a modification of the locally best invariant (LBI) test by Lee (1998). We examine finite sample properties of the proposed test by Monte Carlo experiments comparing with other existing tests including the LBI test by McCabe and Tremayne (1995), which is for the null of unit root against the alternative of stochastic unit root.

Keywords: Random Coefficient Autoregressive Model; Stability; Constancy (search for similar items in EconPapers)
JEL-codes: C12 C22 (search for similar items in EconPapers)
Date: 2007-11
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Citations: View citations in EconPapers (2)

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