IDEAS home Printed from https://ideas.repec.org/p/ags/iaae15/212030.html
   My bibliography  Save this paper

Beef Cattle in the MERCOSUR bloc: Integrated or Separate Markets?

Author

Listed:
  • Lanfranco, Bruno A.
  • Ferraro, Bruno
  • Rostan, Francisco

Abstract

This aim of this paper was to provide empirical evidence of market integration in the beef cattle industry of the MERCOSUR economic bloc. This region possesses the largest commerical bovine herd in the world and explains one quarter of the international trade for beef. The study included size relevant cattle markets located in the four original members of the bloc. The analysis was conducted using a fractional cointegration approach proposed Marinucci and Robinson (2001). The fractional integration parameters and the error term of the cointegration equations were computer using a semi-parametric approach developed by Geweke and Porter-Hudak (1983). The null hypothesis of 'separate markets' could not be rejected even when the general bahavior of the series under analysis encouraged the idea of some market integration. Despite the common trends, their response to specific shocks was dissimilar and, most importantly, the reversion of the disturbed series to equilibrium was always slow.

Suggested Citation

  • Lanfranco, Bruno A. & Ferraro, Bruno & Rostan, Francisco, 2015. "Beef Cattle in the MERCOSUR bloc: Integrated or Separate Markets?," 2015 Conference, August 9-14, 2015, Milan, Italy 212030, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae15:212030
    DOI: 10.22004/ag.econ.212030
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/212030/files/Lanfranco-Beef%20Cattle%20in%20the%20MERCOSUR%20bloc-1054.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.212030?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. John Geweke & Susan Porter‐Hudak, 1983. "The Estimation And Application Of Long Memory Time Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 4(4), pages 221-238, July.
    2. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    3. Marinucci, D & Robinson, Peter M., 2001. "Semiparametric fractional cointegration analysis," LSE Research Online Documents on Economics 2269, London School of Economics and Political Science, LSE Library.
    4. Granger, C. W. J., 1980. "Long memory relationships and the aggregation of dynamic models," Journal of Econometrics, Elsevier, vol. 14(2), pages 227-238, October.
    5. Lanfranco, Bruno A. & Ois, Cecilia & Bedat, Alina, 2006. "Variabilidad de corto plazo en la formación de precios en mercados de haciendas en el Uruguay," Serie Tecnica 121686, Instituto Nacional de Investigacion Agropecuaria (INIA).
    6. Pier Giorgio Ardeni, 1989. "Does the Law of One Price Really Hold for Commodity Prices?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(3), pages 661-669.
    7. Marinucci, D & Robinson, Peter M., 1998. "Semiparametric frequency domain analysis of fractional cointegration," LSE Research Online Documents on Economics 2258, London School of Economics and Political Science, LSE Library.
    8. Marinucci, D. & Robinson, P. M., 2001. "Semiparametric fractional cointegration analysis," Journal of Econometrics, Elsevier, vol. 105(1), pages 225-247, November.
    9. D Marinucci & Peter M Robinson, 2001. "Semiparametric Fractional Cointegration Analysis," STICERD - Econometrics Paper Series 420, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    10. Buccola, Steven T. & Jessee, David L., 1979. "A U.S. Regional Model of Feeder Steer-Heifer Price Differentials," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 11(1), pages 61-65, July.
    11. Gustavo Bittencourt & Gastón Carracelas & Nicolás Reig Lorenzi, 2011. "Determinantes y efectos de la inversión extranjera directa en la industria frigorífica uruguaya Determinantes y efectos de la inversión extranjera directa en la industria frigorífica uruguaya," Documentos de Trabajo (working papers) 2911, Department of Economics - dECON.
    12. Martin Ravallion, 1986. "Testing Market Integration," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(1), pages 102-109.
    13. Dornbusch, Rudiger, 1987. "Exchange Rates and Prices," American Economic Review, American Economic Association, vol. 77(1), pages 93-106, March.
    14. Steven T. Buccola, 1980. "An Approach to the Analysis of Feeder Cattle Price Differentials," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(3), pages 574-580.
    15. Buccola, Steven T. & Jessee, David L., 1979. "A U.S. Regional Model Of Feeder Steer-Heifer Price Differentials," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 11(1), pages 1-5, July.
    16. C. W. J. Granger & Roselyne Joyeux, 1980. "An Introduction To Long‐Memory Time Series Models And Fractional Differencing," Journal of Time Series Analysis, Wiley Blackwell, vol. 1(1), pages 15-29, January.
    17. Sebastian Fossati & Fernando Lorenzo & Cesar M. Rodriguez, 2007. "Regional and International Market Integration of a Small Open Economy," Journal of Applied Economics, Taylor & Francis Journals, vol. 10(1), pages 77-98, May.
    18. Lanfranco, Bruno A. & Castano, Jose Pedro, 2010. "Incidence of Agro-Climate Variability over Grass-Fed Cattle Markets," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61182, Agricultural and Applied Economics Association.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    2. Luis A. Gil‐Alana, 2003. "Testing of Fractional Cointegration in Macroeconomic Time Series," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(4), pages 517-529, September.
    3. Margherita Gerolimetto & Isabella Procidano, 2008. "A test for fractional cointegration using the sieve bootstrap," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 17(3), pages 373-391, July.
    4. Hualde, Javier, 2006. "Unbalanced Cointegration," Econometric Theory, Cambridge University Press, vol. 22(5), pages 765-814, October.
    5. Quineche Ricardo, 2021. "Consumption, Aggregate Wealth and Expected Stock Returns: An FCVAR Approach," Journal of Time Series Econometrics, De Gruyter, vol. 13(1), pages 21-42, January.
    6. Aaron D. Smallwood & Stefan C. Norrbin, 2006. "Generalized long memory processes, failure of cointegration tests and exchange rate dynamics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(4), pages 409-417, May.
    7. Morana, Claudio, 2007. "Multivariate modelling of long memory processes with common components," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 919-934, October.
    8. Christian Leschinski & Michelle Voges & Philipp Sibbertsen, 2021. "A comparison of semiparametric tests for fractional cointegration," Statistical Papers, Springer, vol. 62(4), pages 1997-2030, August.
    9. John Goddard & David Mcmillan & John Wilson, 2008. "Dividends, prices and the present value model: firm-level evidence," The European Journal of Finance, Taylor & Francis Journals, vol. 14(3), pages 195-210.
    10. Guglielmo Maria Caporale & Luis A. Gil‐Alana & James C. Orlando, 2016. "Linkages Between the US and European Stock Markets: A Fractional Cointegration Approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 143-153, April.
    11. Morten Ø. Nielsen & Per Houmann Frederiksen, 2008. "Fully Modified Narrow-band Least Squares Estimation Of Stationary Fractional Cointegration," Working Paper 1171, Economics Department, Queen's University.
    12. Christensen, Bent Jesper & Nielsen, Morten Orregaard, 2006. "Asymptotic normality of narrow-band least squares in the stationary fractional cointegration model and volatility forecasting," Journal of Econometrics, Elsevier, vol. 133(1), pages 343-371, July.
    13. Dayong Zhang & Marco R. Barassi & Jijun Tan, 2015. "Residual-Based Tests for Fractional Cointegration: Testing the Term Structure of Interest Rates," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1118-1140, December.
    14. Dechert, Andreas, 2014. "Fraktionale Kointegrationsbeziehungen zwischen Euribor-Zinssätzen," W.E.P. - Würzburg Economic Papers 93, University of Würzburg, Department of Economics.
    15. Lasak, Katarzyna, 2010. "Likelihood based testing for no fractional cointegration," Journal of Econometrics, Elsevier, vol. 158(1), pages 67-77, September.
    16. Giorgio Canarella & Stephen M. Miller, 2016. "Inflation Targeting: New Evidence from Fractional Integration and Cointegration," Working papers 2016-08, University of Connecticut, Department of Economics.
    17. Marco R Barassi & Dayong Zhang, 2009. "Fractional Integration and Cointegration: Testing the Term Structure of Interest Rates," Discussion Papers 09-17, Department of Economics, University of Birmingham.
    18. Nielsen, Morten Orregaard & Shimotsu, Katsumi, 2007. "Determining the cointegrating rank in nonstationary fractional systems by the exact local Whittle approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 574-596, December.
    19. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2020. "Modelling Loans to Non-Financial Corporations within the Eurozone: A Long-Memory Approach," CESifo Working Paper Series 8674, CESifo.
    20. Aaron Smallwood & Stefan Norrbin, 2004. "Estimating cointegrating vectors using near unit root variables," Applied Economics Letters, Taylor & Francis Journals, vol. 11(12), pages 781-784.

    More about this item

    Keywords

    Crop Production/Industries; Livestock Production/Industries;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:iaae15:212030. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.