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Rank tests for unit roots

  • Jörg Breitung
  • , Christian Gouriéroux
  • Humboldt-Universität zu Berlin
  • CEPREMAP Centre pour la Recherche Économique et ses Applications

Research output: Contribution to journalArticlepeer-review

40 Citations (Scopus)

Abstract

In order to obtain exact distributional results without imposing restrictive parametric assumptions, several rank counterparts of the Dickey-Fuller statistic are considered. In particular, a rank counterpart of the score statistic is suggested which appears to have attractive theoretical properties. Assuming i.i.d. errors, an exact test is obtained for a random walk model with drift and under assumptions similar to Phillips and Perron (1988) the test is asymptotically valid. In a Monte Carlo study the rank tests are compared with their parametric counterparts.

Original languageEnglish
Pages (from-to)7-27
Number of pages21
JournalJournal of Econometrics
Volume81
Issue number1
DOIs
Publication statusPublished - 1 Jan 1997
Externally publishedYes

Keywords

  • Nonlinear models
  • Outliers
  • Rank tests
  • Unit roots

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