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Have output growth rates stabilised? evidence from the g‐7 economies

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  • Terence C. Mills
  • Ping Wang

Abstract

In this paper we consider an extension of Hamilton's Markov chain model of output growth that allows for a one‐time structural break in the hyperparameters. We fit this model to post‐war quarterly output growth data from the G‐7 economies and find evidence for such a structural break in each of them, although the break occurs at different times. The break is always associated with a decline in volatility and often with a narrowing of the mean growth differential between the expansionary and recessionary regimes. The results show that stabilisation has typically been achieved at the expense of a reduction in growth rates.

Suggested Citation

  • Terence C. Mills & Ping Wang, 2003. "Have output growth rates stabilised? evidence from the g‐7 economies," Scottish Journal of Political Economy, Scottish Economic Society, vol. 50(3), pages 232-246, August.
    • Handle: RePEc:bla:scotjp:v:50:y:2003:i:3:p:232-246
    DOI: 10.1111/1467-9485.5003008
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    References listed on IDEAS

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    1. Kim, Chang-Jin & Nelson, Charles R, 1999. "Friedman's Plucking Model of Business Fluctuations: Tests and Estimates of Permanent and Transitory Components," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 31(3), pages 317-334, August.
    2. repec:bla:econom:v:68:y:2001:i:270:p:243-67 is not listed on IDEAS
    3. Sichel, Daniel E, 1993. "Business Cycle Asymmetry: A Deeper Look," Economic Inquiry, Western Economic Association International, vol. 31(2), pages 224-236, April.
    4. Chang-Jin Kim & Charles R. Nelson, 1998. "Business Cycle Turning Points, A New Coincident Index, And Tests Of Duration Dependence Based On A Dynamic Factor Model With Regime Switching," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 188-201, May.
    5. Kim, Chang-Jin, 1994. "Dynamic linear models with Markov-switching," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 1-22.
    6. Terence C. Mills & Ping Wang, 2002. "Plucking models of business cycle fluctuations: Evidence from the G-7 countries," Empirical Economics, Springer, vol. 27(2), pages 255-276.
    7. Chang-Jin Kim & Charles R. Nelson, 1999. "Has The U.S. Economy Become More Stable? A Bayesian Approach Based On A Markov-Switching Model Of The Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 608-616, November.
    8. Gabriel Perez-Quiros & Margaret M. McConnell, 2000. "Output Fluctuations in the United States: What Has Changed since the Early 1980's?," American Economic Review, American Economic Association, vol. 90(5), pages 1464-1476, December.
    9. Chib, Siddhartha, 1998. "Estimation and comparison of multiple change-point models," Journal of Econometrics, Elsevier, vol. 86(2), pages 221-241, June.
    10. Paul W. Simpson & Denise R. Osborn & Marianne Sensier, 2001. "Modelling Business Cycle Movements in the UK Economy," Economica, London School of Economics and Political Science, vol. 68(270), pages 243-267, May.
    11. Crafts,Nicholas & Toniolo,Gianni (ed.), 1996. "Economic Growth in Europe since 1945," Cambridge Books, Cambridge University Press, number 9780521499644, September.
    12. Goodwin, Thomas H, 1993. "Business-Cycle Analysis with a Markov-Switching Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(3), pages 331-339, July.
    13. Durland, J Michael & McCurdy, Thomas H, 1994. "Duration-Dependent Transitions in a Markov Model of U.S. GNP Growth," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 279-288, July.
    14. 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 357-384, March.
    15. Lam, Pok-sang, 1990. "The Hamilton model with a general autoregressive component: estimation and comparison with other models of economic time series : Estimation and comparison with other models of economic time series," Journal of Monetary Economics, Elsevier, vol. 26(3), pages 409-432, December.
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