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A Markov-switching vector equilibrium correction model of the UK labour market

  • Massimiliano Marcellino

    (Istituto di Economia Politica, Università Bocconi and IGIER)

  • Grayham E. Mizon

    (Economics Department, University of Southampton, Southampton SO17 1BJ U.K.)

  • Hans-Martin Krolzig

    (Department of Economics and Nuffield College, Oxford University, Manor Road Building, Oxford OX1 3UQ, U.K.)

There is a wide literature on the dynamic adjustment of employment and its relationship with the business cycle. In this paper we present a statistical model that offers a congruent representation of part of the UK labour market since the mid 1960s. We use a cointegrated vector autoregressive Markov-switching model in which some parameters change according to the phase of the business cycle. Output, employment, labour supply and real earnings are found to have a common cyclical component. The long run dynamics are characterized by one cointegrating vector relating unemployment to trend-adjusted real wages and output. Despite there having been many changes affecting this sector of the UK economy, the Markov-switching vector-equilibrium-correction model with three regimes (representing recession, normal growth, and high growth) provides a good characterization of the sample data, and performs well relative to alternative linear and non-linear models. The results of an impulse-response analysis highlight the dangers of using VARs when the constancy of the estimated coefficients has not been established, and demonstrate the advantages of generating regime dependent responses.

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Article provided by Springer in its journal Empirical Economics.

Volume (Year): 27 (2002)
Issue (Month): 2 ()
Pages: 233-254

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Handle: RePEc:spr:empeco:v:27:y:2002:i:2:p:233-254
Note: Received: December 2000/Final Version Received: August 2001
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  1. Marcellino, M. & Mizon, G.E., 1999. "Modelling shifts in the wage-price and unemployment-inflation relationships in Italy, Poland, and the UK," Discussion Paper Series In Economics And Econometrics 9917, Economics Division, School of Social Sciences, University of Southampton.
  2. Ericsson, Neil R & Hendry, David F & Mizon, Grayham E, 1998. "Exogeneity, Cointegration, and Economic Policy Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 370-87, October.
  3. Massimiliano Marcellino & Grayham E. Mizon, . "Small system modelling of real wages, inflation, unemployment and output per capita in Italy 1970-1994," Working Papers 188, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  4. Clements, Michael P. & Mizon, Grayham E., 1991. "Empirical analysis of macroeconomic time series : VAR and structural models," European Economic Review, Elsevier, vol. 35(4), pages 887-917, May.
  5. Holly,Sean & Weale,Martin (ed.), 2000. "Econometric Modelling," Cambridge Books, Cambridge University Press, number 9780521650694, October.
  6. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
  7. Cooper, Russell & John, Andrew, 1988. "Coordinating Coordination Failures in Keynesian Models," The Quarterly Journal of Economics, MIT Press, vol. 103(3), pages 441-63, August.
  8. Hall, S G, 1989. "Maximum Likelihood Estimation of Cointegration Vectors: An Example of the Johansen Procedure," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 51(2), pages 213-18, March.
  9. Gonzalo, J. & Granger, C., 1992. "Estimation of Common Long-Memory Components in Cointegrated Systems," Papers 4, Boston University - Department of Economics.
  10. Hendry, David F. & Mizon, Grayham E., 2001. "Reformulating empirical macro-econometric modelling," Discussion Paper Series In Economics And Econometrics 0104, Economics Division, School of Social Sciences, University of Southampton.
  11. Krolzig, Hans-Martin & Sensier, Marianne, 2000. "A Disaggregated Markov-Switching Model of the Business Cycle in UK Manufacturing," Manchester School, University of Manchester, vol. 68(4), pages 442-60, Special I.
  12. Acemoglu, Daron & Scott, Andrew, 1994. "Asymmetries in the Cyclical Behaviour of UK Labour Markets," Economic Journal, Royal Economic Society, vol. 104(427), pages 1303-23, November.
  13. 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.
  14. Michael P. Clements & David F. Hendry, 2001. "Forecasting Non-Stationary Economic Time Series," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262531895, June.
  15. Hall, S G, 1986. "An Application of the Granger & Engle Two-Step Estimation Procedure to United Kingdom Aggregate Wage Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 229-39, August.
  16. Hans-Martin Krolzig, 1999. "Statistical Analysis of Cointegrated VAR Processes with Markovian Regime Shifts," Computing in Economics and Finance 1999 1113, Society for Computational Economics.
  17. Krolzig, H.-M. & Toro, J., 1999. "A New Approach to the Analysis of Shocks and the Cycle in a Model of Output and Employment," Economics Working Papers eco99/30, European University Institute.
  18. Marcellino, Massimiliano & Mizon, Grayham E., 2000. "Small system modelling of real wages, inflation, unemployment and output per capita in Italy 1970-1994," Discussion Paper Series In Economics And Econometrics 0106, Economics Division, School of Social Sciences, University of Southampton.
  19. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
  20. 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.
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