IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v32y2000i9p1133-1143.html
   My bibliography  Save this article

A further note on the three phases of the US business cycle

Author

Listed:
  • Allan Layton
  • Daniel Smith

Abstract

Using a number of alternative approaches, Sichel (1994) demonstrated evidence supporting the notion that the US business cycle is best characterized as having three distinct phases, viz. contraction, followed by rapid expansion during the early stages of the recovery phase, followed by a period of more normal expansionary growth, with the cycle then repeating itself. This contrasts with the more usual expansion/contraction, two phase characterization but is more in keeping with the original notion of the business cycle as conceived by Burns and Mitchell (1946). Here an alternative approach is employed for shedding light on this issue. Following the original suggestion of Hamilton (1989, 1990, 1991), a simple nonlinear, three phase, regime switching Markov model is compared against its simpler two phase version to determine which version is statistically more consistent with the business cycle historical evidence. The evidence seems to clearly support the three phase characterization and that this characterization yields interesting information on business cycle dynamics which is necessarily missed by the two phase model formulation.

Suggested Citation

  • Allan Layton & Daniel Smith, 2000. "A further note on the three phases of the US business cycle," Applied Economics, Taylor & Francis Journals, vol. 32(9), pages 1133-1143.
  • Handle: RePEc:taf:applec:v:32:y:2000:i:9:p:1133-1143
    DOI: 10.1080/000368400404272
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/000368400404272
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Michael D. Boldin, 1990. "Characterizing business cycles with a Markov switching model: evidence of multiple equilibria," Research Paper 9037, Federal Reserve Bank of New York.
    2. Gerhard Bry & Charlotte Boschan, 1971. "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs," NBER Books, National Bureau of Economic Research, Inc, number bry_71-1.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shyh-Wei Chen, 2008. "Identifying US turning points revisited: the panel model with the regime switching approach," Applied Economics Letters, Taylor & Francis Journals, vol. 15(11), pages 893-897.
    2. Layton, Allan P. & Smith, Daniel R., 2007. "Business cycle dynamics with duration dependence and leading indicators," Journal of Macroeconomics, Elsevier, vol. 29(4), pages 855-875, December.
    3. Chen, Shyh-Wei, 2006. "Simultaneously modeling the volatility of the growth rate of real GDP and determining business cycle turning points: Evidence from the U.S., Canada and the UK," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 71(2), pages 87-102.
    4. Chen, Shyh-Wei & Shen, Chung-Hua, 2006. "Can the identification puzzle of Taiwan's turning points after 1990 be solved?," Economic Modelling, Elsevier, vol. 23(1), pages 174-195, January.
    5. Ferrara, Laurent, 2003. "A three-regime real-time indicator for the US economy," Economics Letters, Elsevier, vol. 81(3), pages 373-378, December.
    6. Kai Carstensen & Markus Heinrich & Magnus Reif & Maik H. Wolters, 2017. "Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle," CESifo Working Paper Series 6457, CESifo Group Munich.
    7. Allan Layton & Daniel R. Smith, 2005. "Testing the Power of Leading Indicators to Predict Business Cycle Phase Changes," School of Economics and Finance Discussion Papers and Working Papers Series 200, School of Economics and Finance, Queensland University of Technology.
    8. Benoît Bellone, 2006. "Une lecture probabiliste du cycle d’affaires américain," Économie et Prévision, Programme National Persée, vol. 172(1), pages 63-81.
    9. repec:eee:apmaco:v:251:y:2015:i:c:p:453-468 is not listed on IDEAS
    10. Jesper Gregers Linaa, "undated". "Idiosyncrasy of Business Cycles Across EU Countries," EPRU Working Paper Series 02-08, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics.
    11. Kim, Woo Chang & Kim, Jang Ho & Mulvey, John M. & Fabozzi, Frank J., 2015. "Focusing on the worst state for robust investing," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 19-31.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:applec:v:32:y:2000:i:9:p:1133-1143. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.