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La stationnarité en économétrie et en macroéconomique : un guide pour les non initiés

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  • Ambler, Steve

    (Département des sciences économiques, Université du Québec à Montréal)

Abstract

The paper gives a non-technical introduction to non-stationary time series and considers their importance in macro-econometrics and macroeconomics. The following topics are discussed: the distinction between stochastic and deterministic trends; statistical tests for discriminating between non-stationary series with stochastic trends and series which are stationary or which are stationnary around a deterministic time trend; the importance of unit roots for macroeconomic theory; structural breaks and tests for stochastic trends; the estimation of time series models with non-stationary variables; the existence of stable relationships among variables which are individually non-stationary. Le but de ce texte est de présenter une introduction non technique à l’utilisation et à l’importance de séries chronologiques non stationnaires en économétrie et en macroéconomique. Les sujets suivants font l’objet de la présentation : la distinction entre tendances stochastiques et tendances déterministes; les tests d’hypothèse pour discriminer entre séries non stationnaires avec tendances stochastiques, d’une part, et, d’autre part, séries qui sont stationnaires autour de tendances déterministes; les conséquences de la non-stationnarité pour la théorie macroéconomique; les tests de stationnarité en présence de changements structurels; l’estimation de modèles économétriques avec variables qui sont individuellement non stationnaires.

Suggested Citation

  • Ambler, Steve, 1989. "La stationnarité en économétrie et en macroéconomique : un guide pour les non initiés," L'Actualité Economique, Société Canadienne de Science Economique, vol. 65(4), pages 590-609, décembre.
  • Handle: RePEc:ris:actuec:v:65:y:1989:i:4:p:590-609
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    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Hall, Robert E, 1978. "Stochastic Implications of the Life Cycle-Permanent Income Hypothesis: Theory and Evidence," Journal of Political Economy, University of Chicago Press, vol. 86(6), pages 971-987, December.
    3. Stock, James H & Watson, Mark W, 1988. "Variable Trends in Economic Time Series," Journal of Economic Perspectives, American Economic Association, vol. 2(3), pages 147-174, Summer.
    4. Nelson, Charles R & Kang, Heejoon, 1981. "Spurious Periodicity in Inappropriately Detrended Time Series," Econometrica, Econometric Society, vol. 49(3), pages 741-751, May.
    5. Sims, Christopher A., 1988. "Bayesian skepticism on unit root econometrics," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 463-474.
    6. John Y. Campbell & N. Gregory Mankiw, 1987. "Are Output Fluctuations Transitory?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(4), pages 857-880.
    7. Hendry, David F, 1986. "Econometric Modelling with Cointegrated Variables: An Overview," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 201-212, August.
    8. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
    9. Perron, Pierre, 1988. "Trends and random walks in macroeconomic time series : Further evidence from a new approach," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 297-332.
    10. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    11. McCallum, Bennett T, 1988. "Postwar Developments in Business Cycle Theory: A Moderately Classical Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 20(3), pages 459-471, August.
    12. Ghysels, E., 1987. "Cycles and Seasonais in Inventories: Another Look At Non-Stationarity and Induced Seasonality," Cahiers de recherche 8718, Universite de Montreal, Departement de sciences economiques.
    13. 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.
    14. Watson, Mark W., 1986. "Univariate detrending methods with stochastic trends," Journal of Monetary Economics, Elsevier, vol. 18(1), pages 49-75, July.
    15. Julio J. Rotemberg, 1987. "The New Keynesian Microfoundations," NBER Chapters, in: NBER Macroeconomics Annual 1987, Volume 2, pages 69-116, National Bureau of Economic Research, Inc.
    16. Davidson, James E H, et al, 1978. "Econometric Modelling of the Aggregate Time-Series Relationship between Consumers' Expenditure and Income in the United Kingdom," Economic Journal, Royal Economic Society, vol. 88(352), pages 661-692, December.
    17. 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.
    18. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    19. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    20. Ambler, Steve, 1989. "Does Money Matter in Canada? Evidence from a Vector Error Correction Model," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 651-658, November.
    21. Schwert, G. William, 1987. "Effects of model specification on tests for unit roots in macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 20(1), pages 73-103, July.
    22. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    23. Stock, James H, 1987. "Asymptotic Properties of Least Squares Estimators of Cointegrating Vectors," Econometrica, Econometric Society, vol. 55(5), pages 1035-1056, September.
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