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Hysteresis in the fundamentals of macroeconomics

Author

Listed:
  • Rod Cross

    (Department of Economics, University of Strathclyde)

  • Hugh McNamara

    (Department of applied mathematics, University college Cork, Cork, Ireland.)

  • Leonid Kalachev

    (Department of Mathematical Sciences, University of Montana, Missoula, MT.)

  • Alexei Pokrovskii

    (Department of applied mathematics, University college Cork, Cork, Ireland.)

Abstract

Two fundamental problems in economic analysis concern the determination of aggregate output, and the determination of market prices and quantities. The way economic adjustments are made at the micro level suggests that the history of shocks to the economic environment matters. This paper presents tractable approach for introducing hysteresis into models of how aggregate output and market prices and quantities are determined.

Suggested Citation

  • Rod Cross & Hugh McNamara & Leonid Kalachev & Alexei Pokrovskii, 2010. "Hysteresis in the fundamentals of macroeconomics," Working Papers 1008, University of Strathclyde Business School, Department of Economics.
    • Handle: RePEc:str:wpaper:1008
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    References listed on IDEAS

    as
    1. Ricardo J. Caballero & Emmanuel Farhi & Mohamad L. Hammour, 2006. "Speculative Growth: Hints from the U.S. Economy," American Economic Review, American Economic Association, vol. 96(4), pages 1159-1192, September.
    2. Laura Piscitelli & Michael Grinfeld & Harbir Lamba & Rod Cross, 1999. "On entry and exit in response to aggregate shocks," Applied Economics Letters, Taylor & Francis Journals, vol. 6(9), pages 569-572.
    3. Valerie Cerra & Sweta Chaman Saxena, 2008. "Growth Dynamics: The Myth of Economic Recovery," American Economic Review, American Economic Association, vol. 98(1), pages 439-457, March.
    4. Guillermo A. Calvo & Alejandro Izquierdo & Ernesto Talvi, 2006. "Phoenix Miracles in Emerging Markets: Recovering without Credit from Systemic Financial Crises," Research Department Publications 4474, Inter-American Development Bank, Research Department.
    5. D. Colander & H. Follmer & A. Haas & M. Goldberg & K. Juselius & A. Kirman & T. Lux & B. Sloth, 2010. "The Financial Crisis and the Systemic Failure of Academic Economics," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 6.
    6. 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.
    7. Cross, Rod, 1993. "On the Foundations of Hysteresis in Economic Systems," Economics and Philosophy, Cambridge University Press, vol. 9(1), pages 53-74, April.
    8. Wagner, Alfred, 1891. "Marshall's Principles of Economics," History of Economic Thought Articles, McMaster University Archive for the History of Economic Thought, vol. 5, pages 319-338.
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    Citations

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    Cited by:

    1. Matthias Göcke & Laura Werner, 2015. "Play Hysteresis in Supply or in Demand as Part of a Market Model," Metroeconomica, Wiley Blackwell, vol. 66(2), pages 339-374, May.
    2. Göcke, Matthias, 2012. "Play-hysteresis in supply as part of a market model," Discussion Papers 61, Justus Liebig University Giessen, Center for international Development and Environmental Research (ZEU).
    3. Jolita Adamonis & Matthias Göcke, 2019. "Modelling economic hysteresis losses caused by sunk adjustment costs," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 42(2), pages 299-318, April.
    4. MORARU Andreea Daniela & JUGANARU Ion-Danut, 2013. "Consumer Behaviour: Does History Matter," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 65(1), pages 121-128.

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    More about this item

    Keywords

    Hysteresis; Aggregate Output; Market Supply and Demand;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General

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