IDEAS home Printed from https://ideas.repec.org/p/ags/aesc15/204297.html
   My bibliography  Save this paper

An Experimental Approach to Testing the Competitive Storage Model

Author

Listed:
  • Pfuderer, Simone

Abstract

A new approach to testing the competitive storage model is introduced. A relatively simple model is taken to the experimental laboratory. Market outcomes in the experiment deviate from the predictions of the competitive storage model in a number of ways. Average storage and the variability of storage are below the levels predicted by the competitive storage model. The resulting price series, therefore, tend to be more variable than would be the case if stockholders behaved according to the competitive storage model. In addition, the predicted relationship between availability and storage is non-linear but is linear in the experiment.

Suggested Citation

  • Pfuderer, Simone, 2015. "An Experimental Approach to Testing the Competitive Storage Model," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204297, Agricultural Economics Society.
    • Handle: RePEc:ags:aesc15:204297
    DOI: 10.22004/ag.econ.204297
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/204297/files/Simone_Pfuderer_Pfuderer%20Testing%20the%20Competitive%20Storage%20Model%20_1_.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.204297?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. Levy, Haim, 1994. "Absolute and Relative Risk Aversion: An Experimental Study," Journal of Risk and Uncertainty, Springer, vol. 8(3), pages 289-307, May.
    2. Pierre‐André Chiappori & Monica Paiella, 2011. "Relative Risk Aversion Is Constant: Evidence From Panel Data," Journal of the European Economic Association, European Economic Association, vol. 9(6), pages 1021-1052, December.
    3. Gustafson, Robert L., 1958. "Carryover levels for grains: A method for determining amounts that are optimal under specified conditions," Technical Bulletins 157231, United States Department of Agriculture, Economic Research Service.
    4. Christophe Gouel, 2013. "Comparing Numerical Methods for Solving the Competitive Storage Model," Computational Economics, Springer;Society for Computational Economics, vol. 41(2), pages 267-295, February.
    5. Alexander L. Brown & Zhikang Eric Chua & Colin F. Camerer, 2009. "Learning and Visceral Temptation in Dynamic Saving Experiments," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(1), pages 197-231.
    6. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    7. Charles N. Noussair & Steven Tucker, 2013. "Experimental Research On Asset Pricing," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 554-569, July.
    8. Klaus Abbink & Thomas Jayne & Lars Moller, 2011. "The Relevance of a Rules-based Maize Marketing Policy: An Experimental Case Study of Zambia," Journal of Development Studies, Taylor & Francis Journals, vol. 47(2), pages 207-230.
    9. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    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. Pfuderer, Simone, 2014. "Are stockholders rational? An experimental approach to testing the competitive storage model," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 170537, Agricultural Economics Society.
    2. Tamás Csermely & Alexander Rabas, 2016. "How to reveal people’s preferences: Comparing time consistency and predictive power of multiple price list risk elicitation methods," Journal of Risk and Uncertainty, Springer, vol. 53(2), pages 107-136, December.
    3. Kirchler, Michael & Lindner, Florian & Weitzel, Utz, 2020. "Delegated investment decisions and rankings," Journal of Banking & Finance, Elsevier, vol. 120(C).
    4. Maier, Johannes & Rüger, Maximilian, 2010. "Measuring Risk Aversion Model-Independently," Discussion Papers in Economics 11873, University of Munich, Department of Economics.
    5. Michael Kirchler & Florian Lindner & Utz Weitzel, 2018. "Delegated Decision Making and Social Competition in the Finance Industry," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2018_08, Max Planck Institute for Research on Collective Goods.
    6. John Duffy & Janet Hua Jiang & Huan Xie, 2021. "Pricing Indefinitely Lived Assets: Experimental Evidence," CIRANO Working Papers 2021s-32, CIRANO.
    7. Edward Halim & Yohanes E. Riyanto & Nilanjan Roy, 2019. "Costly Information Acquisition, Social Networks, and Asset Prices: Experimental Evidence," Journal of Finance, American Finance Association, vol. 74(4), pages 1975-2010, August.
    8. Stéphane Robin & Kateřina Strážnická & Marie Claire Villeval, 2021. "Bubbles and incentives: an experiment on asset markets," Economic and Political Studies, Taylor & Francis Journals, vol. 9(1), pages 68-89, January.
    9. Halim, Edward & Riyanto, Yohanes E. & Roy, Nilanjan & Wang, Yan, 2022. "The Bright Side of Dark Markets: Experiments," MPRA Paper 111803, University Library of Munich, Germany.
    10. Müller, Stephan & Rau, Holger A., 2019. "Decisions under uncertainty in social contexts," Games and Economic Behavior, Elsevier, vol. 116(C), pages 73-95.
    11. Blaufus, Kay & Hundsdoerfer, Jochen & Jacob, Martin & Sünwoldt, Matthias, 2016. "Does legality matter? The case of tax avoidance and evasion," Journal of Economic Behavior & Organization, Elsevier, vol. 127(C), pages 182-206.
    12. Berger, Loic & Bosetti, Valentina, 2016. "Ellsberg Re-revisited: An Experiment Disentangling Model Uncertainty and Risk Aversion," MITP: Mitigation, Innovation and Transformation Pathways 236239, Fondazione Eni Enrico Mattei (FEEM).
    13. John Duffy & Janet Hua Jiang & Huan Xie, 2019. "Experimental Asset Markets with an Indefinite Horizon," Cahiers de recherche 08-2019, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    14. Berger, Loïc & Bosetti, Valentina, 2020. "Characterizing ambiguity attitudes using model uncertainty," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 621-637.
    15. Tobias Huber & Johannes G. Jaspersen & Andreas Richter & Dennis Strümpel, 2023. "On the change of risk aversion in wealth: a field experiment in a closed economic system," Experimental Economics, Springer;Economic Science Association, vol. 26(1), pages 1-26, March.
    16. Oded Stark, 2019. "On Social Preferences and the Intensity of Risk Aversion," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 86(3), pages 807-826, September.
    17. Loic Berger & Valentina Bosetti, 2016. "Ellsberg Re-revisited: An Experiment Disentangling Model Uncertainty and Risk Aversion," Working Papers 2016.37, Fondazione Eni Enrico Mattei.
    18. Pavan, Marina & Barreda-Tarrazona, Iván, 2020. "Should I default on my mortgage even if I can pay? Experimental evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    19. Claes Ek & Margaret Samahita, 2019. "Pessimism and Overcommitment," Working Papers 201921, School of Economics, University College Dublin.
    20. Blaufus, Kay & Milde, Michael, 2018. "Learning to save tax-efficiently: Tax misperceptions and the effect of informational tax nudges on retirement savings," arqus Discussion Papers in Quantitative Tax Research 225, arqus - Arbeitskreis Quantitative Steuerlehre.

    More about this item

    Keywords

    Demand and Price Analysis; Marketing;

    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:aesc15:204297. 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/aesukea.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.