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Between cointegration and multicointegration: Modelling time series dynamics by cumulative error correction models

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  • Scheiblecker, Marcus

Abstract

This study proposes a cumulative error correction model where the summing weights follow a geometrically decreasing function of prior deviations from the equilibrium and are estimated from the data. It is shown that this approach nests both the traditional error correction model – where no weight is given to deviations from the steady state prior to the most recent period – and the error correction model based on the idea of multicointegration.

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  • Scheiblecker, Marcus, 2013. "Between cointegration and multicointegration: Modelling time series dynamics by cumulative error correction models," Economic Modelling, Elsevier, vol. 31(C), pages 511-517.
  • Handle: RePEc:eee:ecmode:v:31:y:2013:i:c:p:511-517
    DOI: 10.1016/j.econmod.2012.11.042
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    1. B. Bhaskara Rao, 2007. "Estimating short and long-run relationships: a guide for the applied economist," Applied Economics, Taylor & Francis Journals, vol. 39(13), pages 1613-1625.
    2. Peter C. B. Phillips & Mico Loretan, 1991. "Estimating Long-run Economic Equilibria," Review of Economic Studies, Oxford University Press, vol. 58(3), pages 407-436.
    3. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    4. Lucas, Robert E., 1988. "Money demand in the United States: A quantitative review," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 29(1), pages 137-167, January.
    5. Lee, Tae-Hwy, 1992. "Stock-Flow Relationships in U.S. Housing Construction," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 419-430, August.
    6. Gregory D. Hess & Christopher S. Jones & Richard D. Porter, 1994. "The predictive failure of the Baba, Hendry and Starr model of the demand for M1 in the United States," Research Working Paper 94-06, Federal Reserve Bank of Kansas City.
    7. Hoffman, Dennis L & Rasche, Robert H, 1991. "Long-Run Income and Interest Elasticities of Money Demand in the United States," The Review of Economics and Statistics, MIT Press, vol. 73(4), pages 665-674, November.
    8. Lee, Tae-Hwy, 1996. "Stock Adjustment for Multicointegrated Series," Empirical Economics, Springer, vol. 21(4), pages 633-639.
    9. Engsted, T. & Johansen, S., 1997. "Granger's Representation Theorem and Multicointegration," Economics Working Papers eco97/15, European University Institute.
    10. Johansen, Soren, 2006. "Statistical analysis of hypotheses on the cointegrating relations in the I(2) model," Journal of Econometrics, Elsevier, vol. 132(1), pages 81-115, May.
    11. Mehra, Yash P, 1993. "The Stability of the M2 Demand Function: Evidence from an Error-Correction Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 25(3), pages 455-460, August.
    12. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    13. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    14. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    15. Ball, Laurence, 2012. "Short-run money demand," Journal of Monetary Economics, Elsevier, vol. 59(7), pages 622-633.
    16. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    17. Boriss Siliverstovs, 2006. "Multicointegration in US consumption data," Applied Economics, Taylor & Francis Journals, vol. 38(7), pages 819-833.
    18. Engsted, Tom & Gonzalo, Jesus & Haldrup, Niels, 1997. "Testing for multicointegration," Economics Letters, Elsevier, vol. 56(3), pages 259-266, November.
    19. Franses, Philip Hans & van Oest, Rutger, 2007. "On the econometrics of the geometric lag model," Economics Letters, Elsevier, vol. 95(2), pages 291-296, May.
    20. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119, Decembrie.
    21. Stephen M. Goldfeld, 1973. "The Demand for Money Revisited," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 4(3), pages 577-646.
    22. Hans Christian Kongsted & Heino Bohn Nielsen, 2004. "Analysing I(2) Systems by Transformed Vector Autoregressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(3), pages 379-397, July.
    23. Robert B. Davies, 2002. "Hypothesis testing when a nuisance parameter is present only under the alternative: Linear model case," Biometrika, Biometrika Trust, vol. 89(2), pages 484-489, June.
    24. Saikkonen, Pentti, 1991. "Asymptotically Efficient Estimation of Cointegration Regressions," Econometric Theory, Cambridge University Press, vol. 7(1), pages 1-21, March.
    25. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    26. 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.
    27. Hayakawa, Kazuhiko & Kurozumi, Eiji, 2008. "The role of “leads” in the dynamic OLS estimation of cointegrating regression models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 555-560.
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    Cited by:

    1. Marcus Scheiblecker, 2017. "Modelling Short-run Money Demand for the US," Applied Economics and Finance, Redfame publishing, vol. 4(5), pages 9-20, September.

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    More about this item

    Keywords

    Cumulative error correction model; Cointegration; Consumption; Income;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money

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