IDEAS home Printed from https://ideas.repec.org/p/zbw/daredp/1306.html
   My bibliography  Save this paper

Analysing farmers' use of price hedging instruments: an experimental approach

Author

Listed:
  • Anastassiadis, Friederieke
  • Feil, Jan-Henning
  • Musshoff, Oliver
  • Schilling, Philipp

Abstract

This paper analyses the influencing factors of farmers' use of price hedging instruments (PHIs) based upon a discrete choice experiment with German grain farmers. A mixed logit model is used to determine whether farmers' choices of PHIs against cash sales are influenced by their price expectation, their risk attitude and their available storage capacities. The results show that farmers with a price expectation below the actual price level have a higher preference for using PHIs against cash sales in general and that the individual degree of risk aversion can have a significant impact on farmers' choices of a specific PHI. A generally lower preference of farmers with available storage capacities for using PHIs as assumed in many theoretical contributions in the literature, however, cannot be confirmed.

Suggested Citation

  • Anastassiadis, Friederieke & Feil, Jan-Henning & Musshoff, Oliver & Schilling, Philipp, 2013. "Analysing farmers' use of price hedging instruments: an experimental approach," DARE Discussion Papers 1306, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
  • Handle: RePEc:zbw:daredp:1306
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/81937/1/767848012.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Sartwelle, James D., III & O'Brien, Daniel M. & Tierney, William I., Jr. & Eggers, Tim, 2000. "The Effect Of Personal And Farm Characteristics Upon Grain Marketing Practices," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(01), April.
    2. Philip Garcia, 2004. "A selected review of agricultural commodity futures and options markets," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 31(3), pages 235-272, September.
    3. Albert Park, 2006. "Risk and Household Grain Management in Developing Countries," Economic Journal, Royal Economic Society, vol. 116(514), pages 1088-1115, October.
    4. Maria Espinosa-Goded & Jesús Barreiro-Hurlé & Eric Ruto, 2010. "What Do Farmers Want From Agri-Environmental Scheme Design? A Choice Experiment Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 259-273.
    5. Ani L. Katchova & Mario J. Miranda, 2004. "Two-Step Econometric Estimation of Farm Characteristics Affecting Marketing Contract Decisions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 88-102.
    6. Tomek, William G., 1987. "Effects of Futures and Options Trading on Farm Incomes," Staff Papers 186718, Cornell University, Department of Applied Economics and Management.
    7. DeShazo, J. R. & Fermo, German, 2002. "Designing Choice Sets for Stated Preference Methods: The Effects of Complexity on Choice Consistency," Journal of Environmental Economics and Management, Elsevier, vol. 44(1), pages 123-143, July.
    8. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Jürgen Schupp & Gert G. Wagner, 2011. "Individual Risk Attitudes: Measurement, Determinants, And Behavioral Consequences," Journal of the European Economic Association, European Economic Association, vol. 9(3), pages 522-550, June.
    9. Barry K. Goodwin & Ted C. Schroeder, 1994. "Human Capital, Producer Education Programs, and the Adoption of Forward-Pricing Methods," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 936-947.
    10. Olivier Mahul, 2003. "Hedging price risk in the presence of crop yield and revenue insurance," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 30(2), pages 217-239, June.
    11. Beal, Diana J., 1996. "Emerging Issues in Risk Management in Farm Firms," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 64(03), December.
    12. Sumpsi, JoseMaria & Amador, Francisco & Romero, Carlos, 1997. "On farmers' objectives: A multi-criteria approach," European Journal of Operational Research, Elsevier, vol. 96(1), pages 64-71, January.
    13. Jayson L. Lusk & Jutta Roosen & John A. Fox, 2003. "Demand for Beef from Cattle Administered Growth Hormones or Fed Genetically Modified Corn: A Comparison of Consumers in France, Germany, the United Kingdom, and the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 16-29.
    14. Paulson Nicholas D & Katchova Ani L & Lence Sergio H, 2010. "An Empirical Analysis of the Determinants of Marketing Contract Structures for Corn and Soybeans," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 8(1), pages 1-25, May.
    15. Hagedorn, Lewis A. & Irwin, Scott H. & Martines-Filho, Joao Gomes & Good, Darrel L. & Sherrick, Bruce J. & Schnitkey, Gary D., 2003. "New Generation Grain Marketing Contracts," AgMAS Project Research Reports 14782, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    16. Atanu Saha & Janice Stroud, 1994. "A Household Model of On-Farm Storage Under Price Risk," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(3), pages 522-534.
    17. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    18. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    19. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    20. Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August.
    21. Matthew T. Holt & Jon A. Brandt, 1985. "Combining price forecasting with hedging of hogs: An evaluation using alternative measures of risk," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 5(3), pages 297-309, September.
    22. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    23. Daniel McFadden, 1986. "The Choice Theory Approach to Market Research," Marketing Science, INFORMS, vol. 5(4), pages 275-297.
    24. James S. Eales & Brian K. Engel & Robert J. Hauser & Sarahelen R. Thompson, 1990. "Grain Price Expectations of Illinois Farmers and Grain Merchandisers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 701-708.
    25. Arne Risa Hole, 2007. "Fitting mixed logit models by using maximum simulated likelihood," Stata Journal, StataCorp LP, vol. 7(3), pages 388-401, September.
    26. Jason R.V. Franken & Joost M. E. Pennings & Philip Garcia, 2012. "Crop Production Contracts and Marketing Strategies: What Drives Their Use?," Agribusiness, John Wiley & Sons, Ltd., vol. 28(3), pages 324-340, June.
    27. Loy, Jens-Peter & Pieniadz, Agata, 2009. "Optimal Grain Marketing Revisited: A German and Polish Perspective," 2009 Conference, August 16-22, 2009, Beijing, China 51058, International Association of Agricultural Economists.
    28. Kuhberger, Anton & Schulte-Mecklenbeck, Michael & Perner, Josef, 2002. "Framing decisions: Hypothetical and real," Organizational Behavior and Human Decision Processes, Elsevier, vol. 89(2), pages 1162-1175, November.
    29. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132-132.
    30. Sartwelle, James & O'Brien, Daniel & Tierney, William & Eggers, Tim, 2000. "The Effect of Personal and Farm Characteristics upon Grain Marketing Practices," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 32(01), pages 95-111, April.
    31. Gunnar Breustedt & Jörg Müller-Scheeßel & Uwe Latacz-Lohmann, 2008. "Forecasting the Adoption of GM Oilseed Rape: Evidence from a Discrete Choice Experiment in Germany," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(2), pages 237-256, June.
    32. B.I. Shapiro & B. Wade Brorsen, 1988. "Factors Affecting Farmers' Hedging Decisions," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 10(2), pages 145-153.
    Full references (including those not matched with items on IDEAS)

    More about this item

    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:zbw:daredp:1306. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ZBW - German National Library of Economics). General contact details of provider: http://edirc.repec.org/data/iagoede.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.