English, Article, Journal or magazine article edition: Testing for Coefficient Stability of AR(1) Model When the Null is an Integrated or a Stationary Process Daisuke Nagakura

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Bookmark: http://trove.nla.gov.au/version/35279
Physical Description
  • preprint
Language
  • English

Edition details

Title
  • Testing for Coefficient Stability of AR(1) Model When the Null is an Integrated or a Stationary Process
Author
  • Daisuke Nagakura
Physical Description
  • preprint
Notes
  • 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.
  • Random Coefficient Autoregressive Model, Stability, Constancy
  • RePEc:ime:imedps:07-e-020
Language
  • English
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