The US business cycle: power law scaling for interacting units with complex internal structure
In the social sciences, there is increasing evidence of the existence of power law distributions. The distribution of recessions in capitalist economies has recently been shown to follow such a distribution. The preferred explanation for this is self-organised criticality. Gene Stanley and colleagues propose an alternative, namely that power law scaling can arise from the interplay between random multiplicative growth and the complex structure of the units composing the system. This paper offers a parsimonious model of the US business cycle based on similar principles. The business cycle, along with long-term growth, is one of the two features which distinguishes capitalism from all previously existing societies. Yet, economics lacks a satisfactory theory of the cycle. The source of cycles is posited in economic theory to be a series of random shocks which are external to the system. In this model, the cycle is an internal feature of the system, arising from the level of industrial concentration of the agents and the interactions between them. The model—in contrast to existing economic theories of the cycle—accounts for the key features of output growth in the US business cycle in the 20th century.
Volume (Year): 314 (2002)
Issue (Month): 1 ()
|Contact details of provider:|| Web page: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Eichenbaum, Martin, 1995.
"Some Comments on the Role of Econometrics in Economic Theory,"
Royal Economic Society, vol. 105(433), pages 1609-1621, November.
- Martin Eichenbaum, 1996. "Some comments on the role of econometrics in economic theory," Economic Perspectives, Federal Reserve Bank of Chicago, issue Jan, pages 22-31.
- Gali, J., 1996.
"Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?,"
96-28, C.V. Starr Center for Applied Economics, New York University.
- Jordi Gali, 1999. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," American Economic Review, American Economic Association, vol. 89(1), pages 249-271, March.
- Jordi Gali, 1996. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations," NBER Working Papers 5721, National Bureau of Economic Research, Inc.
- Galí, Jordi, 1996. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," CEPR Discussion Papers 1499, C.E.P.R. Discussion Papers.
- Cogley, Timothy & Nason, James M, 1995.
"Output Dynamics in Real-Business-Cycle Models,"
American Economic Review,
American Economic Association, vol. 85(3), pages 492-511, June.
- Ormerod, Paul & Mounfield, Craig, 2001. "Power law distribution of the duration and magnitude of recessions in capitalist economies: breakdown of scaling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 293(3), pages 573-582.
- Leslie Hannah, 1999. "Marshall's "Trees" and the Global "Forest": Were "Giant Redwoods" Different?," NBER Chapters, in: Learning by Doing in Markets, Firms, and Countries, pages 253-294 National Bureau of Economic Research, Inc.
When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:314:y:2002:i:1:p:774-785. 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: (Dana Niculescu)
If references are entirely missing, you can add them using this form.