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Cycles in cattle and hog prices in South America

Author

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  • Astrid Fliessbach
  • Rico Ihle
Abstract
Prices of agricultural products often vary in relatively stable patterns around their long‐run trends. These variations translate into fluctuations of selling prices as well as farm revenues. We provide an overview of the current literature on agricultural price cycles. Using a transparent and reproducible model selection process and the Kalman filter, we select optimal models and estimate the cyclic patterns of hog and cattle prices for Brazil, Chile and Uruguay. Durations of those cycles are found to be about three years and seven years, respectively. These durations are in line with the literature and the biological characteristics of livestock production. Our results can inform producers forecasts on price developments in the short and medium run. They are useful for guiding policy makers on the timing of policy interventions for influencing the duration or the amplitudes of cycles.

Suggested Citation

  • Astrid Fliessbach & Rico Ihle, 2020. "Cycles in cattle and hog prices in South America," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1167-1183, October.
  • Handle: RePEc:bla:ajarec:v:64:y:2020:i:4:p:1167-1183
    DOI: 10.1111/1467-8489.12392
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    References listed on IDEAS

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    1. Aadland, David, 2004. "Cattle cycles, heterogeneous expectations and the age distribution of capital," Journal of Economic Dynamics and Control, Elsevier, vol. 28(10), pages 1977-2002, September.
    2. Marc Nerlove, 1958. "Adaptive Expectations and Cobweb Phenomena," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 72(2), pages 227-240.
    3. Holst, Carsten & von Cramon-Taubadel, Stephan, 2012. "International Synchronisation of the Pork Cycle," Acta Oeconomica et Informatica, Faculty of Economics and Management, Slovak Agricultural University in Nitra (FEM SPU), vol. 15(1), pages 1-6, March.
    4. Edgar E. Twine & James Rude & Jim Unterschultz, 2016. "Canadian Cattle Cycles and Market Shocks," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(1), pages 119-146, March.
    5. Zhongmin Wang, 2009. "Station level gasoline demand in an Australian market with regular price cycles ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(4), pages 467-483, October.
    6. Yair Mundlak & He Huang, 1996. "International Comparisons of Cattle Cycles," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(4), pages 855-868.
    7. Labys, Walter C. & Cohen, Bruce C., 2006. "Trends versus cycles in global wine export shares," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 50(4), pages 1-11, December.
    8. -, 2018. "The Caribbean Outlook," Libros y Documentos Institucionales, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 43581 edited by Eclac.
    9. -, 2017. "The Outlook for Agriculture and Rural Development in the Americas: A Perspective on Latin America and the Caribbean 2017-2018," Coediciones, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 42282 edited by Eclac.
    10. Wang, Zhongmin, 2009. "Station level gasoline demand in an Australian market with regular price cycles," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(4), pages 1-17.
    11. Walter C. Labys & Bruce C. Cohen, 2006. "Trends versus cycles in global wine export shares," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 50(4), pages 527-537, December.
    12. Christophe Gouel, 2012. "Agricultural Price Instability: A Survey Of Competing Explanations And Remedies," Journal of Economic Surveys, Wiley Blackwell, vol. 26(1), pages 129-156, February.
    13. Aadland, David, 2002. "Cattle Cycles, Expectations And The Age Distribution Of Capital," 2002 Annual meeting, July 28-31, Long Beach, CA 19795, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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    Cited by:

    1. Jingjing Wang & Xiaoyang Wang & Xiaohua Yu, 2023. "Shocks, cycles and adjustments: The case of China's Hog Market under external shocks," Agribusiness, John Wiley & Sons, Ltd., vol. 39(3), pages 703-726, July.
    2. Ashraf J. Zaied & Hatim M. E. Geli & Andres F. Cibils & Mohammed N. Sawalhah & Jerry L. Holechek & Charlotte C. Gard & Saleh A. Idhirij & Melakeneh G. Gedefaw & Greg L. Torell, 2021. "Beef Cattle Price and Production Patterns in Relation to Drought in New Mexico," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    3. Juan D. Borrero & Jesus Mariscal, 2022. "Predicting Time SeriesUsing an Automatic New Algorithm of the Kalman Filter," Mathematics, MDPI, vol. 10(16), pages 1-13, August.
    4. Muhammad Imran Chaudhry & Mario J. Miranda, 2024. "Endogenous price fluctuations: Evidence from the chicken supply chain in Pakistan," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(2), pages 637-658, March.

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