TESTING FOR A UNIT ROOT AGAINST TRANSITIONAL AUTOREGRESSIVE MODELS.

This article develops a novel test for a unit root in general transitional autoregressive models, which is based on the infimum of t-ratios for the coefficient of a parametrized transition function. Our test allows for very flexible specifications of the transition function and short-run dynamics an...

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Publicado en:International Economic Review Vol. 57; no. 2; pp. 635 - 665
Autores principales: Park, Joon Y., Shintani, Mototsugu
Formato: Artículo
Publicado: Wiley-Blackwell May2016
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: TESTING FOR A UNIT ROOT AGAINST TRANSITIONAL AUTOREGRESSIVE MODELS.
      aug:
        au:
          Park, Joon Y.
          Shintani, Mototsugu
        affil:
          Indiana University, U.S.A., and Sungkyunkwan University, Korea
          University of Tokyo, Japan, and Vanderbilt University, U.S.A.
      su:
        Autoregression (Statistics)
        Regression analysis
        Numerical analysis
        Finite difference method
        Extrapolation
      sug:
        subj:
          Autoregression (Statistics)
          Regression analysis
          Numerical analysis
          Finite difference method
          Extrapolation
      ab: This article develops a novel test for a unit root in general transitional autoregressive models, which is based on the infimum of t-ratios for the coefficient of a parametrized transition function. Our test allows for very flexible specifications of the transition function and short-run dynamics and is significantly more powerful than all the other existing tests. Moreover, we develop a large sample theory general enough to deal with randomly drifting parameter spaces, which is essential to properly test for a unit root against stationary transitional models. An empirical application of our test to the exchange rate data is also provided.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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