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Guide pratique des séries non stationnaires

  • Bernard Salanié

    (Crest)

[fre] Guide pratique des séries non-stationnaires par Bernard Salanié . L'objet de ce texte est de présenter les méthodes économétriques disponibles pour procéder à l'estimation et au test de systèmes comprenant des variables non-stationnaires, en insistant sur les contributions récentes qui fournissent des méthodes plus simples et/ou plus robustes que celles qui ont été développées au début des années quatre- vingt. L'approche utilisée est résolument pragmatique : aucun résultat asymptotique n'est démontré, mais on cherche à évaluer les avantages et inconvénients de l'utilisation de chaque procédure. [eng] A guide to non-stationary series by Bernard Salanié . The purpose of this paper is to present traditional and more recent econometric procedures for estimating and testing systems that contain non-stationary variables. The aim throughout is not to prove asymptotic results, but rather to weigh the pros and cons of using each method. The article attempts to show that more recent methods may be more straightforward and/or robust than procedures developed in the early 1980s.

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Paper provided by Centre de Recherche en Economie et Statistique in its series Working Papers with number 99-23.

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Date of creation: 1999
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Handle: RePEc:crs:wpaper:99-23
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  1. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-44, January.
  2. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-36, July.
  3. Schmidt, Peter & Phillips, C B Peter, 1992. "LM Tests for a Unit Root in the Presence of Deterministic Trends," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 257-87, August.
  4. Danny Quah, 1991. "The Relative Importance of Permanent and Transitory Components: Identi- fication and Some Theoretical Bounds," NBER Technical Working Papers 0106, National Bureau of Economic Research, Inc.
  5. Denis Kwiatkowski & Peter C.B. Phillips & Peter Schmidt, 1991. "Testing the Null Hypothesis of Stationarity Against the Alternative of a Unit Root: How Sure Are We That Economic Time Series Have a Unit Root?," Cowles Foundation Discussion Papers 979, Cowles Foundation for Research in Economics, Yale University.
  6. Newey, W.K. & West, K.D., 1992. "Automatic Lag Selection in Covariance Matrix Estimation," Working papers 9220, Wisconsin Madison - Social Systems.
  7. Perron, P, 1988. "The Great Crash, The Oil Price Shock And The Unit Root Hypothesis," Papers 338, Princeton, Department of Economics - Econometric Research Program.
  8. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501, March.
  9. Pierre PERRON & John Y. CAMPBELL, 1992. "Racines unitaires en macroéconomie : le cas multidimensionnel," Annales d'Economie et de Statistique, ENSAE, issue 27, pages 1-50.
  10. H. D. Vinod & B. D. McCullough, 1999. "The Numerical Reliability of Econometric Software," Journal of Economic Literature, American Economic Association, vol. 37(2), pages 633-665, June.
  11. Lucrezia Reichlin & Peter Rappoport, 1989. "Segmented trends and non-stationary time series," ULB Institutional Repository 2013/10169, ULB -- Universite Libre de Bruxelles.
  12. Shin, Yongcheol, 1994. "A Residual-Based Test of the Null of Cointegration Against the Alternative of No Cointegration," Econometric Theory, Cambridge University Press, vol. 10(01), pages 91-115, March.
  13. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
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