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A New Approach to the Analysis of Business Cycle Transitions in a Model of Output and Employment

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  • Hans-Martin Krolzig
  • Juan Toro
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    Abstract

    This paper proposes a new framework for the impulse-response analysis of business cycle transitions. A cointegrated vector autoregressive Markov-switching model is found to be a congruent representation of post-war US employment and output data. In this model some parameters change according to the phase of the business cycle which effects employment and output simultaneously. The long run dynamics are characterized by a cointegrating vector including employment, output and a trend as a proxy for technological progress and capital accumulation. Short-run and long-run dynamics are jointly estimated in a Markov-switching vector-equilibrium-correction model with three regimes representing recession, growth and high growth. For the analysis of the dynamics of output and employment, a new set of impulse-response exercises is considered.

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    File URL: http://www.economics.ox.ac.uk/materials/working_papers/paper059.pdf
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    Bibliographic Info

    Paper provided by University of Oxford, Department of Economics in its series Economics Series Working Papers with number 59.

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    Date of creation: 01 Jan 2001
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    Handle: RePEc:oxf:wpaper:59

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    Related research

    Keywords: business cycles; impulse-response analysis; cointegration; regime shifts; Markov switching; labour hoarding;

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    References

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    1. Mortensen, Dale T & Pissarides, Christopher A, 1994. "Job Creation and Job Destruction in the Theory of Unemployment," Review of Economic Studies, Wiley Blackwell, vol. 61(3), pages 397-415, July.
    2. Davis, Steven J & Haltiwanger, John C, 1992. "Gross Job Creation, Gross Job Destruction, and Employment Reallocation," The Quarterly Journal of Economics, MIT Press, vol. 107(3), pages 819-63, August.
    3. Thomas J. Sargent, 1978. "Estimation of dynamic labor demand schedules under rational expectations," Staff Report 27, Federal Reserve Bank of Minneapolis.
    4. Hansen, Bruce E, 1992. "The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages S61-82, Suppl. De.
    5. Bentolila, Samuel & Bertola, Giuseppe, 1990. "Firing Costs and Labour Demand: How Bad Is Eurosclerosis?," Review of Economic Studies, Wiley Blackwell, vol. 57(3), pages 381-402, July.
    6. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    7. Oliver Jean Blanchard & Peter Diamond, 1989. "The Beveridge Curve," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 20(1), pages 1-76.
    8. Bruce E. Hansen, 1995. "Erratum: The Likelihood ratio Test Under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Boston College Working Papers in Economics 296., Boston College Department of Economics.
    9. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    10. René Garcia, 1995. "Asymptotic Null Distribution of the Likelihood Ratio Test in Markov Switching Models," CIRANO Working Papers 95s-07, CIRANO.
    11. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March.
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    Cited by:
    1. Jorge Andrés Tamayo Castaño, 2012. "Asimetrías en la demanda por trabajo en Colombia: el papel del ciclo económico," Borradores de Economia 689, Banco de la Republica de Colombia.

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