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A likelihood ratio test for idiosyncratic unit roots in a dynamic-factor model with integrated factors
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Statistics.
2012 (English)Report (Other academic)
Abstract [en]

We consider an exact factor model with the restriction of unobservable common stochastic trends imposed by non-stationary factors as considered by Zhou and Solberger (2012). Conditional on this, we propose a homogenous likelihood ratio test for unit roots in the idiosyncratic components. The likelihood approach has long been overlooked in this framework due to numerical burdens, and though parts of the test are found numerically, the homogeneity restrictions imposed here make the test feasible. In a simulation study, for relatively large T, our test shows better local power than the pooled Fisher-type test of Bai and Ng (2004), while it is roughly equivalent to the LM test of Zhou and Solberger (2012).

Place, publisher, year, edition, pages
2012. , 18 p.
Series
Working paper / Department of Statistics, Uppsala University, 2012:2
Keyword [en]
Panel unit root, Dynamic factors, Maximum likelihood
National Category
Social Sciences
Identifiers
URN: urn:nbn:se:uu:diva-176961OAI: oai:DiVA.org:uu-176961DiVA: diva2:538107
Available from: 2012-06-29 Created: 2012-06-28 Last updated: 2012-06-29Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf