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Identification of the Long-Run and the Short-Run Structure: An Application to the ISLM Model

Author

Listed:
  • Søren Johansen

    (Institute of Mathematical Statistics, University of Copenhagen)

  • Katarina Juselius

    (Institute of Economics, University of Copenhagen)

Abstract

In this paper we discuss the problem of identification in a model with cointegration. It is pointed out that there is an identification problem for both long-run parameters and short-run parameters. The identification of the equations and the cointegrating relations is achieved by linear restrictions on the parameters and a criterion for a statistical model to be identifying is given. We also define empirical identification of an estimated structure. A switching algorithm for calculating the restricted parameters is proposed. The concepts are illustrated with an empirical analysis of the ISLM model using Australian monetary data.

Suggested Citation

  • Søren Johansen & Katarina Juselius, 1992. "Identification of the Long-Run and the Short-Run Structure: An Application to the ISLM Model," Discussion Papers 92-04, University of Copenhagen. Department of Economics.
  • Handle: RePEc:kud:kuiedp:9204
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    References listed on IDEAS

    as
    1. 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.
    2. Hendry, D.F. & Mizon, G.E., 1990. "Evaluating Dynamic Econometric Models By Encompassing The Var," Economics Series Working Papers 99102, University of Oxford, Department of Economics.
    3. Glenn Stevens & Susan Thorp & John Anderson, 1987. "The Australian Demand Function for Money: Another Look at Stability," RBA Research Discussion Papers rdp8701, Reserve Bank of Australia.
    4. Johansen, Soren, 1992. "Cointegration in partial systems and the efficiency of single-equation analysis," Journal of Econometrics, Elsevier, vol. 52(3), pages 389-402, June.
    5. Ross Milbourne, 1988. "Disequilibrium Buffer Stock Models: A Survey," Working Papers 715, Queen's University, Department of Economics.
    6. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    7. Milbourne, Ross, 1988. " Disequilibrium Buffer Stock Models: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 2(3), pages 187-208.
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    More about this item

    Keywords

    identification; cointegration; long-run/short-run structure; ISLM model;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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