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Stochastic and deterministic trends in Finnish macroeconomic time series

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  • Mikael Linden

    (University of Helsinki)

Abstract

The appropriateness of the Dickey-Fuller unit root test is studied using two alternative unit root test models. The segmented trend model is strongly supported and the second-order trend model is favoured for some series. The sample set consists of observations of nine basic macroeconomic time series describing the fundamentals of the Finnish economy between 1860 and 1989. The results clearly show that care is required in interpreting unit-root tests since failure to reject does not entail that the null is true. Structural breaks in the data generating process, in this case wars starting in 1917 and 1939, support models of the deterministic trends class. However, it is argued that the univariate testing procedures laid down in the unit root literature do not provide information to macroeconomic controversies.

Suggested Citation

  • Mikael Linden, 1992. "Stochastic and deterministic trends in Finnish macroeconomic time series," Finnish Economic Papers, Finnish Economic Association, vol. 5(2), pages 110-116, Autumn.
  • Handle: RePEc:fep:journl:v:5:y:1992:i:2:p:110-116
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    References listed on IDEAS

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    1. Peter C.B. Phillips & Sam Ouliaris & Joon Y. Park, 1988. "Testing for a Unit Root in the Presence of a Maintained Trend," Cowles Foundation Discussion Papers 880, Cowles Foundation for Research in Economics, Yale University.
    2. Hylleberg, Svend & Mizon, Grayham E., 1989. "A note on the distribution of the least squares estimator of a random walk with drift," Economics Letters, Elsevier, vol. 29(3), pages 225-230.
    3. Christiano, Lawrence J. & Eichenbaum, Martin, 1990. "Unit roots in real GNP: Do we know, and do we care?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 32(1), pages 7-61, January.
    4. Banerjee, Anindya & Lumsdaine, Robin L & Stock, James H, 1992. "Recursive and Sequential Tests of the Unit-Root and Trend-Break Hypotheses: Theory and International Evidence," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 271-287, July.
    5. Cochrane, John H., 1991. "A critique of the application of unit root tests," Journal of Economic Dynamics and Control, Elsevier, vol. 15(2), pages 275-284, April.
    6. Phillips, P.C.B., 1990. "Time Series Regression With a Unit Root and Infinite-Variance Errors," Econometric Theory, Cambridge University Press, vol. 6(01), pages 44-62, March.
    7. Christiano, Lawrence J, 1992. "Searching for a Break in GNP," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 237-250, July.
    8. Phillips, Peter C. B. & Loretan, Mico, 1991. "The Durbin-Watson ratio under infinite-variance errors," Journal of Econometrics, Elsevier, vol. 47(1), pages 85-114, January.
    9. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
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    Cited by:

    1. Franco Bevilacqua & Adriaan van Zon, 2004. "Random walks and non-linear paths in macroeconomic time series: some evidence and implications," Chapters,in: Applied Evolutionary Economics and Complex Systems, chapter 3 Edward Elgar Publishing.
    2. Asmaa Ahmed, 2005. "Random Walks in the Economic Dynamic Series," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 78-100.

    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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