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The Hog Cycle as Harmonic Motion

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  • Arnold B. Larson

Abstract

This paper presents a theory of the hog cycle as true harmonic motion, arising from "feedback," a widely occurring phenomenon in which a stimulus induces a response which acts to alter the stimulus after a fixed delay. In the model of the hog cycle, it is postulated that the signal is the price of hogs, or more accurately the hog-corn price ratio which is a measure of current profitability of hog production; the response is a change in the rate of production of hogs; and the fixed delay is the biologically determined time required to produce a market hog. The supply response parameter, being a rate of change of planned production from current levels, does not correspond to slope or elasticity of a static supply curve, and little or no economic theory exists to account for the magnitude, or even the existence, of a dynamic supply parameter of this sort, though it has been observed by a number of students of the hog cycle. The nature of the supply response differs fundamentally from that of the cobweb theorem, where producers' decisions are assumed to refer to a short-run supply curve. This is the feature of the model that leads to a four-year cycle instead of the two-year cycle that most naturally emerges from the cobweb theorem.

Suggested Citation

  • Arnold B. Larson, 1964. "The Hog Cycle as Harmonic Motion," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 46(2), pages 375-386.
  • Handle: RePEc:oup:ajagec:v:46:y:1964:i:2:p:375-386.
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    File URL: http://hdl.handle.net/10.2307/1236542
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    Cited by:

    1. Lee, Tsoung-Chao & Seaver, Stanley K., 1980. "Forecasts Of Farm Animal Production In The New England States And In The U.S," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 0(Number 1), pages 1-6, April.
    2. He, Xue-Zhong & Li, Kai & Wei, Junjie & Zheng, Min, 2009. "Market stability switches in a continuous-time financial market with heterogeneous beliefs," Economic Modelling, Elsevier, vol. 26(6), pages 1432-1442, November.
    3. Manuel Landajo & Mar'ia Jos'e Presno, 2024. "The prices of renewable commodities: A robust stationarity analysis," Papers 2402.01005, arXiv.org.
    4. He, Xue-Zhong & Li, Kai, 2012. "Heterogeneous beliefs and adaptive behaviour in a continuous-time asset price model," Journal of Economic Dynamics and Control, Elsevier, vol. 36(7), pages 973-987.
    5. He, Xue-Zhong & Zheng, Min, 2010. "Dynamics of moving average rules in a continuous-time financial market model," Journal of Economic Behavior & Organization, Elsevier, vol. 76(3), pages 615-634, December.
    6. Poitras, Geoffrey, 2023. "Cobweb Theory, Market Stability, And Price Expectations," Journal of the History of Economic Thought, Cambridge University Press, vol. 45(1), pages 137-161, March.
    7. Dieci, Roberto & Mignot, Sarah & Westerhoff, Frank, 2022. "Production delays, technology choice and cyclical cobweb dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    8. Christoph Engel & Hanjo Hamann, 2012. "The Hog-Cycle of Law Professors," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2012_08, Max Planck Institute for Research on Collective Goods.
    9. Matsumoto, Akio & Szidarovszky, Ferenc, 2015. "Delay dynamics of a Cournot game with heterogeneous duopolies," Applied Mathematics and Computation, Elsevier, vol. 269(C), pages 699-713.
    10. Chavas, Jean-Paul, 1999. "On The Economic Rationality Of Market Participants: The Case Of Expectations In The U.S. Pork Market," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(1), pages 1-19, July.
    11. Atle Oglend & Frank Asche, 2016. "Cyclical non-stationarity in commodity prices," Empirical Economics, Springer, vol. 51(4), pages 1465-1479, December.
    12. Shu-Ling Chen & John D. Jackson & Hyeongwoo Kim & Pramesti Resiandini, 2014. "What Drives Commodity Prices?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(5), pages 1455-1468.
    13. Tomek, William G. & Robinson, Kenneth L., 1977. "PART V. Agricultural Price Analysis and Outlook," AAEA Monographs, Agricultural and Applied Economics Association, number 337217, january.
    14. Paul Zak, 1999. "Kaleckian Lags in General Equilibrium," Review of Political Economy, Taylor & Francis Journals, vol. 11(3), pages 321-330.
    15. West, Donald Albert, 1969. "Swine Producers' Price Expectations And The Hog Cycle," Department of Economics and Business - Archive 259729, North Carolina State University, Department of Economics.
    16. Gruber, Josef, 1965. "Econometric simultaneous equation models of the cattle cycle in the United States and three selected regions," ISU General Staff Papers 196501010800005040, Iowa State University, Department of Economics.
    17. Christoph Engel & Hanjo Hamann, 2016. "The Hog Cycle of Law Professors: An Econometric Time Series Analysis of the Entry-Level Job Market in Legal Academia," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-22, July.
    18. Lee, Tsoung-Chao & Seaver, Stanley K., 1980. "Forecasts Of Farm Animal Production In The New England States And In The U.S," Journal of the Northeastern Agricultural Economics Council, Northeastern Agricultural and Resource Economics Association, vol. 9(1), pages 1-6, April.
    19. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014.
    20. Rachida Hennani, 2015. "Can the Lasota(1977)’s model compete with the Mackey-Glass(1977)’s model in nonlinear modelling of financial time series?," Working Papers 15-09, LAMETA, Universtiy of Montpellier, revised Jun 2015.
    21. Hertzler, Greg & Cothern, James H., 1979. "The Sub-Optimality Of The Beef Cycle," 1979 Annual Meeting, July 29-August 1, Pullman, Washington 278293, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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