IDEAS home Printed from https://ideas.repec.org/p/mos/moswps/2008-06.html
   My bibliography  Save this paper

Coffee Commodity Chain

Author

Listed:
  • Tine Olsen
  • Brett Inder

Abstract

To explain the value added along the coffee commodity chain we propose and estimate a theoretical model of the coffee commodity chain. The theoretical model consists of four markets and five agents in the coffee commodity chain and predicts that prices in the coffee commodity chain move together but are also influenced by income, technology and production. A vector error correction model is used to test the theoretical predictions. In addition to the theoretical conclusions the empirical model confirms the beneficial role of the International Coffee Agreement and the importance of the level of production in determining coffee prices.

Suggested Citation

  • Tine Olsen & Brett Inder, 2008. "Coffee Commodity Chain," Monash Economics Working Papers 06/08, Monash University, Department of Economics.
    • Handle: RePEc:mos:moswps:2008-06
    as

    Download full text from publisher

    File URL: http://www.buseco.monash.edu.au/eco/research/papers/2008/0608coffeeolseninder.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bloch, Harry & Sapsford, David, 2000. "Whither the Terms of Trade? An Elaboration of the Prebisch-Singer Hypothesis," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 24(4), pages 461-481, July.
    2. Helmut Lütkepohl, 2005. "New Introduction to Multiple Time Series Analysis," Springer Books, Springer, number 978-3-540-27752-1, July.
    3. Krivonos, Ekaterina, 2004. "The impact of coffee market reforms on producer prices and price transmission," Policy Research Working Paper Series 3358, The World Bank.
    4. Lütkepohl, Helmut, 2008. "Problems related to over-identifying restrictions for structural vector error correction models," Economics Letters, Elsevier, vol. 99(3), pages 512-515, June.
    5. William Darity & Lewis S. Davis, 2005. "Growth, trade and uneven development," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 29(1), pages 141-170, January.
    6. Harry Bloch & A. Michael Dockery & David Sapsford, 2004. "Commodity prices, wages, and U.S. inflation in the twentieth century," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 26(3), pages 523-545.
    7. Helmut Lütkepohl, 2005. "Vector Error Correction Models," Springer Books, in: New Introduction to Multiple Time Series Analysis, chapter 6, pages 237-267, Springer.
    8. John Baffes & Bruce Gardner, 2003. "The transmission of world commodity prices to domestic markets under policy reforms in developing countries," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 6(3), pages 159-180.
    9. Bruggemann, Ralf & Lutkepohl, Helmut & Saikkonen, Pentti, 2006. "Residual autocorrelation testing for vector error correction models," Journal of Econometrics, Elsevier, vol. 134(2), pages 579-604, October.
    10. Deaton, Angus & Laroque, Guy, 2003. "A model of commodity prices after Sir Arthur Lewis," Journal of Development Economics, Elsevier, vol. 71(2), pages 289-310, August.
    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. Helmut Lütkepohl, 2013. "Vector autoregressive models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 6, pages 139-164, Edward Elgar Publishing.
    2. Javier Garcia Cicco & Patricio Goldstein & Federico Sturzenegger, 2023. "Permanent and Transitory Monetary Shocks around the World," Working Papers 275, Red Nacional de Investigadores en Economía (RedNIE).
    3. Ralf Brüggemann & Helmut Lütkepohl, 2006. "A small monetary system for the euro area based on German data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 683-702, September.
    4. Raja Ben Hajria & Salah Khardani & Hamdi Raïssi, 2017. "Testing the lag length of vector autoregressive models: A power comparison between portmanteau and Lagrange multiplier tests," Working Papers 2017-03, Escuela de Negocios y Economía, Pontificia Universidad Católica de Valparaíso.
    5. Arbus, Ignacio, 2009. "Departure from normality of increasing-dimension martingales," Journal of Multivariate Analysis, Elsevier, vol. 100(6), pages 1304-1315, July.
    6. Poulin, Jennifer & Duchesne, Pierre, 2008. "On the power transformation of kernel-based tests for serial correlation in vector time series: Some finite sample results and a comparison with the bootstrap," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4432-4457, May.
    7. Ida Wolden Bache, 2008. "Assessing estimates of the exchange rate pass-through," Working Paper 2007/12, Norges Bank.
    8. Park, Byeong U. & Mammen, Enno & Härdle, Wolfgang & Borak, Szymon, 2009. "Time Series Modelling With Semiparametric Factor Dynamics," Journal of the American Statistical Association, American Statistical Association, vol. 104(485), pages 284-298.
    9. Carsten Trenkler & Enzo Weber, 2013. "Testing for codependence of cointegrated variables," Applied Economics, Taylor & Francis Journals, vol. 45(15), pages 1953-1964, May.
    10. Mezgebo, Taddese, 2009. "A multivariate approach for identification of optimal locations with in Ethiopia’s wheat market to tackle soaring inflation on food price," MPRA Paper 18663, University Library of Munich, Germany.
    11. Catani, P.S. & Ahlgren, N.J.C., 2017. "Combined Lagrange multiplier test for ARCH in vector autoregressive models," Econometrics and Statistics, Elsevier, vol. 1(C), pages 62-84.
    12. Bahal, Girish & Raissi, Mehdi & Tulin, Volodymyr, 2018. "Crowding-out or crowding-in? Public and private investment in India," World Development, Elsevier, vol. 109(C), pages 323-333.
    13. Niklas Ahlgren & Paul Catani, 2017. "Wild bootstrap tests for autocorrelation in vector autoregressive models," Statistical Papers, Springer, vol. 58(4), pages 1189-1216, December.
    14. Andre Varella Mollick, 2008. "The Rise of the Skill Premium in Mexican Maquiladoras," Journal of Development Studies, Taylor & Francis Journals, vol. 44(9), pages 1382-1404.
    15. Andreas Röthig, 2011. "On speculators and hedgers in currency futures markets: who leads whom?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 16(1), pages 63-69, January.
    16. Ida Wolden Bache, 2006. "Assessing the structural VAR approach to exchange rate pass-through," Computing in Economics and Finance 2006 309, Society for Computational Economics.
    17. Xibing Li & Jiao Liu & Jian Zhou & Xiling Liu & Lei Zhou & Wei Wei, 2020. "The Effects of Macroeconomic Factors on Road Traffic Safety: A Study Based on the ARDL-ECM Model," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    18. Andreas Röthig, 2009. "Microeconomic Risk Management and Macroeconomic Stability," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-642-01565-6, December.
    19. Siliti jr Hammadi & Ben mbarek jr Hassene, 2013. "Shocks Transmission in the Mediterranean Zone," Economics Bulletin, AccessEcon, vol. 33(2), pages 1010-1028.
    20. Angelos Liapis & Stylianos Artsidakis & Christos Galanos, 2023. "Forecasting Methods of Key Ratios and Their Impact in Company’s Value," JRFM, MDPI, vol. 16(3), pages 1-17, February.

    More about this item

    Keywords

    global commodity chain; vector error correction model; coffee; value added.;
    All these keywords.

    JEL classification:

    • F02 - International Economics - - General - - - International Economic Order and Integration
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade

    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:mos:moswps:2008-06. 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: Simon Angus (email available below). General contact details of provider: https://edirc.repec.org/data/dxmonau.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.