Markov Switching Models for GDP Growth in a Small Open Economy: The New Zealand Experience
Robert Buckle (),
David Haugh and
Peter Thomson
Journal of Business Cycle Measurement and Analysis, 2004, vol. 2004, issue 2, 227-257
Abstract:
This paper fits Markov switching models to quarterly New Zealand aggregate GDP growth rates for the period 1978:1 to 2003:2 in order to analyse changes in mean and volatility over time. The models considered are drawn from a simple class of parsimonious, four state, Markov switching models which encompass a wide range of stationary time series behaviour from linear AR(1) models to non-linear models with persistent cycles and outliers. An overall objective is to use the models to help understand and identify changes in the historical growth performance of New Zealand's small open economy, particularly pre and post wide ranging economic reforms. Conclusions to emerge are that, in contrast to the 1980s, New Zealand GDP growth experienced an unusually long period of time in high growth and low volatility regimes since the early 1990s. In addition, New Zealand does not appear to have ...
Keywords: Markov Switching Models; Hidden Markov Models; Regime (search for similar items in EconPapers)
Date: 2004
References: Add references at CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
https://doi.org/10.1787/jbcma-v2004-art13-en (text/html)
Full text available to READ online. PDF download available to OECD iLibrary subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:oec:stdkaa:5lmqcr2jcp9t
Access Statistics for this article
More articles in Journal of Business Cycle Measurement and Analysis from OECD Publishing, Centre for International Research on Economic Tendency Surveys Contact information at EDIRC.
Bibliographic data for series maintained by ().