This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Rank Tests for Unit Roots

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Breitung, J.
Gourieroux, C.

Additional information is available for the following registered author(s):

Abstract

In order to obtain exact distributional results without imposing restrictive parametric assumptions, various 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 & Perron (1988) the test is asymptotically valid. In a Monte Carlo study the rank tests are compared with their parametric counterparts.

Download Info
To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Publisher Info
Paper provided by Institut National de la Statistique et des Etudes Economiques- in its series Papers with number 9642.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length: 37 pages
Date of creation: 1996
Date of revision:
Handle: RePEc:fth:inseep:9642

Contact details of provider:
Postal: INSTITUT NATIONAL DE LA STATISTIQUE ET DES ETUDES ECONOMIQUES, UNITE DE RECHERCHE, BUREAU 1150 18 BD ADOLPH PINARD 75675 PARIS CEDEX 14 FRANCE.
Phone: 01 41 17 66 11
Fax: 01 53 17 88 09
Web page: http://www.insee.fr/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Thomas Krichel).

Related research
Keywords: ECONOMETRICS TIME SERIES

Other versions of this item:

Find related papers by JEL classification:
C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models
C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Phillips, P.C.B., 1986. "Testing for a Unit Root in Time Series Regression," Cahiers de recherche 8633, Universite de Montreal, Departement de sciences economiques.
    Other versions:
  2. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March. [Downloadable!] (restricted)
    Other versions:
  3. Perron, P, 1988. "The Great Crash, The Oil Price Shock And The Unit Root Hypothesis," Papers 338, Princeton, Department of Economics - Econometric Research Program.
    Other versions:
  4. Schwert, G William, 1989. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(2), pages 147-59, April.
    Other versions:
  5. Franses, P.H. & McAleer, M., 1995. "Testing for Unit Roots and Non-Linear Transformations," Papers 9507/a, Erasmus University of Rotterdam - Econometric Institute.
  6. Lee, J. & Schmidt, P., 1991. "A Modification of the Schmidt-Phillips Unit Root Test," Papers 9001, Michigan State - Econometrics and Economic Theory.
    Other versions:
  7. Schmidt, Peter & Phillips, C B Peter, 1992. "LM Tests for a Unit Root in the Presence of Deterministic Trends," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 257-87, August.
  8. Campbell, Bryan & Dufour, Jean-Marie, 1995. "Exact Nonparametric Orthogonality and Random Walk Tests," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 1-16, February. [Downloadable!] (restricted)
    Other versions:
  9. McCabe, B. P. M., 1989. "Misspecification tests in econometrics based on ranks," Journal of Econometrics, Elsevier, vol. 40(2), pages 261-278, February. [Downloadable!] (restricted)
Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Donald J. Brown & Rustam Ibragimov, 2005. "Sign Tests for Dependent Observations and Bounds for Path-Dependent Options," Cowles Foundation Discussion Papers 1518, Cowles Foundation, Yale University. [Downloadable!]
  2. Felipe M. Aparicio Acosta, 2003. "On The Record Properties Of Integrated Time Series," Statistics and Econometrics Working Papers ws036414, Universidad Carlos III, Departamento de Estadística y Econometría. [Downloadable!]
  3. Felipe M. Aparicio & Alvaro Escribano, 2003. "Cointegration Tests Based On Record Counting Statistics," Statistics and Econometrics Working Papers ws036615, Universidad Carlos III, Departamento de Estadística y Econometría. [Downloadable!]
Statistics
Access and download statistics

Did you know? You can include your works in the database easily by uploading them on the Munich Personal RePEc Archive (MPRA) if you do not have access to an institutional RePEc archive.

This page was last updated on 2008-9-21.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.