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University of Illinois at Urbana-Champaign

Robust Inference in Multiple Nonstationary Time Series

Abstract

dc:description

In addition, a multivariate generalization of the unit root tests proposed in Zivot and Andrews (1992) is investigated. The null hypothesis entails the existence of a number of cointegrating vectors band no breaks in the constant term of the vector autoregression. Under the alternative, there are additional cointegrating vectors that are potentially obscured by multiple breaks in the deterministic terms. The test is based on the likelihood ratio test of Johansen (1988, 1991) and involves taking the supremum of the likelihood ratio over all possible breakpoint vectors. The asymptotic distribution is free of nuisance parameters and consists of the supremum of two terms. The first term is a modification of the usual trace test and the second term is the square of a tied-down Bessel process.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Economics
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Juhl, Ted Peter
Contributors dc:contributor
  • Koenker, Roger W.

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI9944899
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/85652

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Juhl, Ted Peter. Robust Inference in Multiple Nonstationary Time Series. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/85652