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Structural breaks and stochastic trends in macroeconomic variables in Norway

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  • Hilde Christiane Bjørnland

Abstract

This paper analyses the dynamic properties of several macroeconomic variables in Norway, using different unit root tests and measures of persistence. For none of the variables can we reject the hypothesis of a unit root in favour of a deterministic linear trend alternative. However, when allowing for a structural break in the trend alternative, we can reject the hypothesis of a unit root for unemployment, government consumption, investment and real wage. Most of the Norwegian time series display little persistence. However, for those series that show a high degree of persistence, adjusting for the break in the trend, persistence falls considerably.

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  • Hilde Christiane Bjørnland, 1999. "Structural breaks and stochastic trends in macroeconomic variables in Norway," Applied Economics Letters, Taylor & Francis Journals, vol. 6(3), pages 133-138.
    • Handle: RePEc:taf:apeclt:v:6:y:1999:i:3:p:133-138
    DOI: 10.1080/135048599353483
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    Cited by:

    1. Omay, Tolga & Shahbaz, Muhammad & Stewart, Chris, 2021. "Is There Really Hysteresis in OECD Countries’ Unemployment Rates? New Evidence Using a Fourier Panel Unit Root Test," MPRA Paper 107691, University Library of Munich, Germany, revised 10 May 2021.
    2. Diego Romero-Avila, 2008. "A confirmatory analysis of the unit root hypothesis for OECD consumption-income ratios," Applied Economics, Taylor & Francis Journals, vol. 40(17), pages 2271-2278.
    3. ALTINAY, Galip, 2005. "Structural Breaks in Long-Term Turkish Macroeconomic Data,1923-2003," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 5(4).
    4. Fabio Gomes & Cleomar Gomes da Silva, 2007. "Hysteresis vs. natural rate of unemployment in Brazil and Chile," Applied Economics Letters, Taylor & Francis Journals, vol. 15(1), pages 53-56.
    5. Romero-Ávila, Diego, 2009. "Are OECD consumption-income ratios stationary after all?," Economic Modelling, Elsevier, vol. 26(1), pages 107-117, January.

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