Nonparametric cointegration analysis

H.J. Bierens

Research output: Working paperDiscussion paperOther research output

433 Downloads (Pure)

Abstract

In this paper we propose consistent cointegration tests, and estimators of a basis of the space of cointegrating vectors, that do not need specification of the data-generating process, apart from some mild regularity conditions, or estimation of structural and/or nuisance parameters. This nonparametric approach is in the same spirit as Johansen s LR method in that the test statistics involved are obtained from the solutions of a generalized eigenvalue problem, and the hypotheses to be tested are the same, but in our case the two matrices in the generalized eigenvalue problem involved are constructed independently of the data-generating process. We compare our approach empirically as well as by a limited Monte Carlo simulation with Johansen s approach, using the series for ln(wages) and ln(GNP) from the extende
Original languageEnglish
PublisherUnknown Publisher
Number of pages64
Volume1995-123
Publication statusPublished - 1995

Publication series

NameCentER Discussion Paper
Volume1995-123

Keywords

  • Statistical Methods
  • cointegration
  • unit root
  • Testing
  • statistics

Fingerprint Dive into the research topics of 'Nonparametric cointegration analysis'. Together they form a unique fingerprint.

  • Cite this

    Bierens, H. J. (1995). Nonparametric cointegration analysis. (CentER Discussion Paper; Vol. 1995-123). Unknown Publisher.