Skip to main content

Permanent and transitory components of recessions

  • Chapter
Advances in Markov-Switching Models

Part of the book series: Studies in Empirical Economics ((STUDEMP))

Abstract

We propose a generalization of existing empirical business cycle models that allows us to decompose recessions into permanent and transitory components. We find that the transitory component of recessions accounts for between 77% and 96% of the observed variance of monthly indicator series. Our results suggest the following three-phase characterization of the business cycle: recession, high-growth recovery during which output partially reverts to its previous peak, and normal growth following the recovery. In addition, we find significant timing differences between the permanent and transitory components of recessions; most notably the lack of the usual high-growth recovery phase following the 1990–91 recession.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Beaudry P, Koop G (1993) Do recessions permanently change output?. Journal of Monetary Economics 31:149–163

    Article  Google Scholar 

  • Blanchard OJ (1993) Consumption and the recession of 1990–1991. American Economic Review, Papers and Proceedings of the Hundred and Fifth Annual Meeting of the American Economic Association 83:270–274

    Google Scholar 

  • Blinder A (1991) What’s so bad about a nice little recovery?. Business Week, June 24:22

    Google Scholar 

  • Boldin MD (1994) Dating turning points in the business cycle. Journal of Business 67:93–131

    Google Scholar 

  • Burns AF, Mitchell WA (1946) Measuring business cycles. National Bureau of Economic Research, New York

    Google Scholar 

  • Chauvet M (1998) An econometric characterization of business cycle dynamics with factor structure and regime switching. International Economic Review 39:969–996

    Article  Google Scholar 

  • DeLong JB, Summers LH (1988) How does macroeconomic policy affect output?. In: Brainard WC, Perry GL (eds.) Brookings papers on economic activity. The Brookings Institution, Washington, DC, pp. 433–494

    Google Scholar 

  • Diebold FX, Rudebusch GD (1990) A nonparametric investigation of duration dependence in the American business cycle. Journal of Political Economy 98:596–616

    Article  Google Scholar 

  • Diebold FX, Rudebusch GD (1996) Measuring business cycles: A modern perspective. The Review of Economics and Statistics 78:67–77

    Article  Google Scholar 

  • Diebold FX, Rudebusch GD, Sichel DE (1993) Further evidence on business cycle duration dependence. In: Stock JH, Watson MW (eds.) Business cycles, indicators, and forecasting. University of Chicago Press, Chicago, pp. 255–280

    Google Scholar 

  • Durland JM, McCurdy TH (1994) Duration-dependent transitions in a Markov model of U.S. GNP growth. Journal of Business and Economic Statistics 12:279–288

    Google Scholar 

  • Filardo AJ (1994) Business cycle phases and their transitional dynamics. Journal of Business and Economic Statistics 12:299–308

    Google Scholar 

  • Friedman M (1964) Monetary studies of the national bureau, the national bureau enters its 45th year. 44th annual report 7–25; reprinted in Friedman M (1969) The optimum quantity of money and other essays. Aldine, Chicago

    Google Scholar 

  • Friedman M (1993) The ‘plucking model’ of business fluctuations revisited. Economic Inquiry 31:171–177

    Article  Google Scholar 

  • Garcia R (1998) Asymptotic null distribution of the likelihood ratio test in Markov switching models. International Economic Review 39:763–788

    Article  Google Scholar 

  • Goodwin TH, Sweeney RJ, International evidence on Friedman’s theory of the business cycle. Economic Inquiry 31:178–193

    Google Scholar 

  • Gordon K, Smith AFM (1988) Modeling and monitoring discontinuous changes in time series. In: Spall JC (ed.) Bayesian analysis of time series and dynamic linear models. Marcel Dekker, New York, pp. 359–392

    Google Scholar 

  • Gregory AW, Head AC, Raynauld J (1997) Measuring world business cycles. International Economic Review 38:677–701

    Article  Google Scholar 

  • Hall AR (1994) Testing for a unit root in time series with pretest data-based model selection. Journal of Business and Economic Statistics 12:461–70

    Google Scholar 

  • Hamilton JD (1989) A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica 57:357–384

    Article  Google Scholar 

  • Hamilton JD (1994) Time series analysis. Princeton University Press, Princeton

    Google Scholar 

  • Hansen BE (1992) The likelihood ratio test under non-standard conditions: Testing the Markov switching model of GNP. Journal of Applied Econometrics 7.S61-S82

    Article  Google Scholar 

  • Hansen BE (1996) Inference when a nuisance parameter is not identified under the null hypothesis. Econometrica 64:413–430

    Article  Google Scholar 

  • Hansen GD, Prescott EC (1993) Did technology shocks cause the 1990–1991 recession?. American Economic Review, Papers and Proceedings of the Hundred and Fifth Annual Meeting of the American Economic Association 83:280–286

    Google Scholar 

  • Harrison PJ, Stevens CF (1976) Bayesian forecasting. Journal of the Royal Statistical Society, Series B 38:205–247

    Google Scholar 

  • Johansen S (1991) Estimation and hypothesis testing of cointegration vectors in gaussian vector autoregressive models. Econometrica 59:1551–1580

    Article  Google Scholar 

  • Kim C-J (1993) Unobserved-component time series models with Markov-switching hetero-skedasticity: Changes in regime and the link between inflation rates and inflation uncertainty. Journal of Business and Economic Statistics 11:341–349

    Google Scholar 

  • Kim C-J (1994) Dynamic linear models with Markov switching. Journal of Econometrics 60:1–22

    Article  Google Scholar 

  • Kim C-J, Nelson CR (1998) Business cycle turning points, a new coincident index, and tests for duration dependence based on a dynamic factor model with regime switching. The Review of Economics and Statistics 80:188–201

    Article  Google Scholar 

  • Kim C-J, Nelson CR (1999a) Friedman’s plucking model of business fluctuations: Tests and estimates of permanent and transitory components. Journal of Money, Credit, and Banking 31:317–334

    Article  Google Scholar 

  • Kim C-J, Nelson CR (1999b) State-space models with regime switching: Classical and Gibbssampling approaches with applications. MIT Press, Cambridge

    Google Scholar 

  • Kim C-J, Nelson CR (1999c) 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 81:608–616

    Article  Google Scholar 

  • Kim C-J, Nelson CR (2001) A Bayesian approach to testing for Markov switching in univariate and dynamic factor models. International Economic Review 42 (4) 989–1013

    Article  Google Scholar 

  • Kim M-J, Yoo J-S (1995) New index of coincident indicators: a multivariate Markov switching factor model approach. Journal of Monetary Economics 36:607–630

    Article  Google Scholar 

  • McConnell MM, Perez-Quiros G (2000) Output fluctuations in the United States: What has changed since the early 1980’s?. American Economic Review 90:1464–1476

    Article  Google Scholar 

  • Mitchell WA (1927) Business cycles: The problem and its setting. NBER, New York

    Google Scholar 

  • Mitchel WA, Burns AF (1938) Statistical indicators of cyclical revivals. NBER Bulletin 69, New York

    Google Scholar 

  • Neftçi SN (1984) Are economic time series asymmetric over the business cycle?. Journal of Political Economy 92:307–328

    Article  Google Scholar 

  • Ng S, Perron P (1995) Unit root tests in ARMA models with data dependent methods for the selection of the truncation lag. Journal of the American Statistical Association 90:268–281

    Article  Google Scholar 

  • Romer CD, Romer DH (1994) What ends recessions?. In: Fischer S, Rotemberg J (eds.) NBER macroeconomics annual. MIT Press, Cambridge, pp. 13–57

    Google Scholar 

  • Sichel DE (1989) Are business cycles asymmetric? A correction. Journal of Political Economy 97:1055–1060

    Article  Google Scholar 

  • Sichel DE (1991) Business cycle duration dependence: A parametric approach. The Review of Economics and Statistics 73:254–260

    Article  Google Scholar 

  • Sichel DE (1994) Inventories and the three phases of the business cycle. Journal of Business and Economic Statistics 12:269–277

    Google Scholar 

  • Stock JH, Watson MW (1989) New indexes of coincident and leading indicators. In: Blanchard OJ, Fischer S (eds.) NBER macroeconomics annual. MIT Press, Cambridge, pp. 351–393

    Google Scholar 

  • Stock JH, Watson MW (1991) A probability model of the coincident economic Indicators. In: Lahiri K, Moore GH (eds.) Leading economic indicators: New approaches and forecasting records. Cambridge University Press, New York, pp. 63–85

    Chapter  Google Scholar 

  • Stock JH, Watson MW (1993) A procedure for predicting recessions with leading indicators: Econometric issues and recent experiences. In: Stock JH, Watson MW (eds.) Business cycles, indicators, and forecasting. University of Chicago Press, Chicago, pp. 95–156

    Chapter  Google Scholar 

  • Wynne MA, Balke NS (1992) Are deep recessions followed by strong recoveries?. Economics Letters 39:183–189

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Kim, CJ., Murray, C.J. (2002). Permanent and transitory components of recessions. In: Hamilton, J.D., Raj, B. (eds) Advances in Markov-Switching Models. Studies in Empirical Economics. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-51182-0_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-51182-0_2

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-642-51184-4

  • Online ISBN: 978-3-642-51182-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics