Phillips-Perron-type unit root tests in the nonlinear ESTAR framework

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Christoph Rothe
  • Philipp Sibbertsen

Research Organisations

External Research Organisations

  • University of Mannheim
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Details

Original languageEnglish
Pages (from-to)439-456
Number of pages18
JournalAllgemeines Statistisches Archiv
Volume90
Issue number3
Publication statusPublished - Sept 2006

Abstract

In this paper, we propose Phillips-Perron type, semi-parametric testing procedures to distinguish a unit root process from a mean-reverting exponential smooth transition autoregressive one. The limiting nonstandard distributions are derived under very general conditions and simulation evidence shows that the tests perform better than the standard Phillips-Perron or Dickey-Fuller tests in the region of the null.

Keywords

    Exponential smooth transition autoregressive model, Monte Carlo simulations, Purchasing power parity, Unit roots

ASJC Scopus subject areas

Cite this

Phillips-Perron-type unit root tests in the nonlinear ESTAR framework. / Rothe, Christoph; Sibbertsen, Philipp.
In: Allgemeines Statistisches Archiv, Vol. 90, No. 3, 09.2006, p. 439-456.

Research output: Contribution to journalArticleResearchpeer review

Rothe C, Sibbertsen P. Phillips-Perron-type unit root tests in the nonlinear ESTAR framework. Allgemeines Statistisches Archiv. 2006 Sept;90(3):439-456. doi: 10.1007/s10182-006-0244-y
Rothe, Christoph ; Sibbertsen, Philipp. / Phillips-Perron-type unit root tests in the nonlinear ESTAR framework. In: Allgemeines Statistisches Archiv. 2006 ; Vol. 90, No. 3. pp. 439-456.
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