IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-02290683.html
   My bibliography  Save this paper

Traders' bidding strategies on EU grain export refunds : an analysis with limited dependent variables

Author

Listed:
  • Jean-Marc Bourgeon

    (UPN - Université Paris Nanterre)

  • Y. Le Roux

    (ESR - Unité de recherche d'Économie et Sociologie Rurales - INRA - Institut National de la Recherche Agronomique)

Abstract

Grâce à une spécification d'une distribution multivariée de l'information détenue par les opérateurs et dans le cas où cette distribution présente de faibles corrélations, sont spécifiées les stratégies d'offre des opérateurs lors des adjudications de stocks d'intervention de blé tendre européen. Il peut être mis en évidence que les corrélations ont des effets opposés sur les stratégies d'offre, suivant les hypothèses retenues pour la valorisation du bien par les acheteurs. Cette approche structurelle permet d'estimer les stratégies d'offre selon deux méthodes économétriques. En particulier, est estimé ici le modèle avec corrélation sous l'hypothèse de valeur commune.

Suggested Citation

  • Jean-Marc Bourgeon & Y. Le Roux, 1999. "Traders' bidding strategies on EU grain export refunds : an analysis with limited dependent variables," Working Papers hal-02290683, HAL.
  • Handle: RePEc:hal:wpaper:hal-02290683
    Note: View the original document on HAL open archive server: https://hal.science/hal-02290683
    as

    Download full text from publisher

    File URL: https://hal.science/hal-02290683/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Bourgeon, Jean-Marc & Le Roux, Yves, 1996. "Tenders for European Cereal Export Refunds: A Structural Approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 23(1), pages 5-26.
    3. Paarsch, Harry J., 1992. "Deciding between the common and private value paradigms in empirical models of auctions," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 191-215.
    4. Thiel, Stuart E, 1988. "Some Evidence of the Winner's Curse," American Economic Review, American Economic Association, vol. 78(5), pages 884-895, December.
    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. Chen, Xiaohong & Hong, Han & Shum, Matthew, 2007. "Nonparametric likelihood ratio model selection tests between parametric likelihood and moment condition models," Journal of Econometrics, Elsevier, vol. 141(1), pages 109-140, November.
    2. Bernard Elyakime & Patrice Loisel, 1997. "Asymétrie dans des enchères à prix de retrait secret," Revue Économique, Programme National Persée, vol. 48(4), pages 835-851.
    3. Tong Li, 2005. "Econometrics of first-price auctions with entry and binding reservation prices," Journal of Econometrics, Elsevier, vol. 126(1), pages 173-200, May.
    4. Susan Athey & Philip A. Haile, 2006. "Empirical Models of Auctions," NBER Working Papers 12126, National Bureau of Economic Research, Inc.
    5. Laffont, Jean-Jacques, 1997. "Game theory and empirical economics: The case of auction data 1," European Economic Review, Elsevier, vol. 41(1), pages 1-35, January.
    6. Donald, Stephen G. & Paarsch, Harry J., 2002. "Superconsistent estimation and inference in structural econometric models using extreme order statistics," Journal of Econometrics, Elsevier, vol. 109(2), pages 305-340, August.
    7. Leonardo Rezende, 2008. "Econometrics of auctions by least squares," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(7), pages 925-948.
    8. Joel O. Wooten & Joan M. Donohue & Timothy D. Fry & Kathleen M. Whitcomb, 2020. "To Thine Own Self Be True: Asymmetric Information in Procurement Auctions," Production and Operations Management, Production and Operations Management Society, vol. 29(7), pages 1679-1701, July.
    9. Jean-Jacques Laffont, 1998. "Théorie des jeux et économie empirique : le cas des données issues d'enchères," Économie et Prévision, Programme National Persée, vol. 132(1), pages 121-137.
    10. Tostao, Emilio & Chung, Chanjin & Brorsen, B. Wade, 2006. "Integrating the Structural Auction Approach and Traditional Measures of Market Power," 2006 Annual meeting, July 23-26, Long Beach, CA 21244, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Hillebrand, Eric & Schnabl, Gunther & Ulu, Yasemin, 2009. "Japanese foreign exchange intervention and the yen-to-dollar exchange rate: A simultaneous equations approach using realized volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(3), pages 490-505, July.
    12. Bansal, Ravi & Kiku, Dana & Yaron, Amir, 2016. "Risks for the long run: Estimation with time aggregation," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 52-69.
    13. Kutuk, Yasin, 2022. "Inequality convergence: A world-systems theory approach," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 150-165.
    14. Smoluk, H. J. & Neveu, Raymond P., 2002. "Consumption and asset prices: An analysis across income groups," Review of Financial Economics, Elsevier, vol. 11(1), pages 47-62.
    15. Alessandra Canepa & Fawaz Khaled, 2018. "Housing, Housing Finance and Credit Risk," IJFS, MDPI, vol. 6(2), pages 1-23, May.
    16. Isaiah Andrews & Anna Mikusheva, 2016. "Conditional Inference With a Functional Nuisance Parameter," Econometrica, Econometric Society, vol. 84, pages 1571-1612, July.
    17. Jessica M. Mc Lay & Roy Lay-Yee & Barry J. Milne & Peter Davis, 2015. "Regression-Style Models for Parameter Estimation in Dynamic Microsimulation: An Empirical Performance Assessment," International Journal of Microsimulation, International Microsimulation Association, vol. 8(2), pages 83-127.
    18. Jarle Aarstad & Olav Andreas Kvitastein & Stig-Erik Jakobsen, 2019. "What Drives Enterprise Product Innovation? Assessing How Regional, National, And International Inter-Firm Collaboration Complement Or Substitute For R&D Investments," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 23(05), pages 1-25, June.
    19. Alex Cukierman & Anton Muscatelli, 2001. "Do Central Banks have Precautionary Demands for Expansions and for Price Stability?," Working Papers 2002_4, Business School - Economics, University of Glasgow, revised Mar 2002.
    20. Li, Yuming, 1998. "Expected stock returns, risk premiums and volatilities of economic factors1," Journal of Empirical Finance, Elsevier, vol. 5(2), pages 69-97, June.

    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:hal:wpaper:hal-02290683. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.