IDEAS home Printed from https://ideas.repec.org/a/kap/compec/v41y2013i2p151-170.html
   My bibliography  Save this article

The Interest of Having Loyal Buyers in a Perishable Market

Author

Listed:
  • Juliette Rouchier

Abstract

The aim of this paper is to show the particular role of buyer loyalty in a perishable goods market. For this we build an agent-based model, inspired by a wholesale market on which we had performed some qualitative field study. In this model we define a very simple negotiation procedure for wholesalers and retailers, who are divided in two populations: loyal retailers who always visit the same seller first and opportunistic retailers who look for the best prices. In this setting, the presence of opportunistic retailers increases the quantity of waste and reduces global earnings for all agents. We then endogenize the attitude of retailers with a reinforcement learning mechanism and show that the number of loyal retailers reaches 80–100% of the population, depending on the difference of prices between expensive and cheap goods, which is the interval in which the production of waste is minimal. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • Juliette Rouchier, 2013. "The Interest of Having Loyal Buyers in a Perishable Market," Computational Economics, Springer;Society for Computational Economics, vol. 41(2), pages 151-170, February.
    • Handle: RePEc:kap:compec:v:41:y:2013:i:2:p:151-170
    DOI: 10.1007/s10614-012-9334-y
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10614-012-9334-y
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10614-012-9334-y?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Avner Offer, 1997. "Between the gift and the market: the economy of regard," Economic History Review, Economic History Society, vol. 50(3), pages 450-476, August.
    2. Kirman, Alan P. & Vriend, Nicolaas J., 2001. "Evolving market structure: An ACE model of price dispersion and loyalty," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 459-502, March.
    3. Eric Brousseau & Jean-Marie Codron, 1998. "La complémentarité entre formes de gouvernance [Le cas de l'approvisionnement des grandes surfaces en fruits de contre saison]," Économie rurale, Programme National Persée, vol. 245(1), pages 75-83.
    4. Jackson, Matthew O. & Wolinsky, Asher, 1996. "A Strategic Model of Social and Economic Networks," Journal of Economic Theory, Elsevier, vol. 71(1), pages 44-74, October.
    5. Stanley, E. Ann & Ashlock, Dan & Tesfatsion, Leigh, 1993. "Iterated Prisoner's Dilemma with Choice and Refusal of Partners," ISU General Staff Papers 199302010800001028, Iowa State University, Department of Economics.
    6. Roth, Alvin E. & Erev, Ido, 1995. "Learning in extensive-form games: Experimental data and simple dynamic models in the intermediate term," Games and Economic Behavior, Elsevier, vol. 8(1), pages 164-212.
    7. Juliette Rouchier & François Bousquet & Mélanie Requier-Desjardins & Martine Antona, 2001. "A Multi-Agent Model for Describing Transhumance in North Cameroon: Comparison of Different Rationality to Develop a Routine," Post-Print halshs-00550482, HAL.
    8. Alan Kirman, 2006. "Demand Theory and General Equilibrium: From Explanation to Introspection, a Journey down the Wrong Road," History of Political Economy, Duke University Press, vol. 38(5), pages 246-280, Supplemen.
    9. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    10. Weisbuch, Gerard & Kirman, Alan & Herreiner, Dorothea, 2000. "Market Organisation and Trading Relationships," Economic Journal, Royal Economic Society, vol. 110(463), pages 411-436, April.
    11. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, Oxford University Press, vol. 69(1), pages 99-118.
    12. Kirman, Alan & Schulz, Rainer & Hardle, Wolfgang & Werwatz, Axel, 2005. "Transactions that did not happen and their influence on prices," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 567-591, April.
    13. Thomas Brenner, 1999. "Modelling Learning in Economics," Books, Edward Elgar Publishing, number 1815.
    14. Gode, Dhananjay K & Sunder, Shyam, 1993. "Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 119-137, February.
    15. Janssen, Marco A. & Jager, Wander, 2001. "Fashions, habits and changing preferences: Simulation of psychological factors affecting market dynamics," Journal of Economic Psychology, Elsevier, vol. 22(6), pages 745-772, December.
    16. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
    17. Sophie Dubuisson-Quellier, 2003. "Confiance et qualité des produits alimentaires : une approche par la sociologie des relations marchandes," Post-Print hal-02492775, HAL.
    18. Ariel Rubinstein & Asher Wolinsky, 1990. "Decentralized Trading, Strategic Behaviour and the Walrasian Outcome," Review of Economic Studies, Oxford University Press, vol. 57(1), pages 63-78.
    19. Erev, Ido & Roth, Alvin E, 1998. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria," American Economic Review, American Economic Association, vol. 88(4), pages 848-881, September.
    20. Moulet, Sonia & Rouchier, Juliette, 2008. "The influence of seller learning and time constraints on sequential bargaining in an artificial perishable goods market," Journal of Economic Dynamics and Control, Elsevier, vol. 32(7), pages 2322-2348, July.
    21. repec:hal:spmain:info:hdl:2441/5k7940uimfdf9c8986grigtgj is not listed on IDEAS
    22. Braouezec, Yann, 2009. "Stochastic Adaptive Dynamics of a Simple Market as a Non-Stationary Multi-Armed Bandit Problem," European Journal of Economic and Social Systems, Lavoisier, vol. 22(1), pages 19-41.
    23. Olivier Barreteau & Christophe Le Page & Patrick D'aquino, 2003. "Role-Playing Games, Models and Negotiation Processes," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(2), pages 1-10.
    24. Kathryn Graddy, 1995. "Testing for Imperfect Competition at the Fulton Fish Market," RAND Journal of Economics, The RAND Corporation, vol. 26(1), pages 75-92, Spring.
    25. Vriend, Nicolaas J., 2006. "ACE Models of Endogenous Interactions," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 21, pages 1047-1079, Elsevier.
    26. Vriend, Nicolaas J., 2000. "An illustration of the essential difference between individual and social learning, and its consequences for computational analyses," Journal of Economic Dynamics and Control, Elsevier, vol. 24(1), pages 1-19, January.
    27. Alan Kirman & Sonia Moulet, 2008. "Impact de l'organisation du marché: Comparaison de la négociation de gré à gré et des enchères descendantes," Working Papers halshs-00349034, HAL.
    28. Rouchier, Juliette & Bousquet, Francois & Requier-Desjardins, Melanie & Antona, Martine, 2001. "A multi-agent model for describing transhumance in North Cameroon: Comparison of different rationality to develop a routine," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 527-559, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Sujuan & Hu, Qiying & Liu, Weiqi, 2017. "Price and quality-based competition and channel structure with consumer loyalty," European Journal of Operational Research, Elsevier, vol. 262(2), pages 563-574.
    2. Luzius Meisser & C. Friedrich Kreuser, 2017. "An Agent-Based Simulation of the Stolper–Samuelson Effect," Computational Economics, Springer;Society for Computational Economics, vol. 50(4), pages 533-547, December.

    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. Narine Udumyan & Juliette Rouchier & Dominique Ami, 2014. "Integration of Path-Dependency in a Simple Learning Model: The Case of Marine Resources," Computational Economics, Springer;Society for Computational Economics, vol. 43(2), pages 199-231, February.
    2. Renaud Bourlès & Juliette Rouchier, 2012. "Evolving Informal Risk-Sharing Cooperatives and Other-Regarding Preferences," Working Papers halshs-00793706, HAL.
    3. Chen, Shu-Heng, 2012. "Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 1-25.
    4. Paola Tubaro, 2011. "Computational Economics," Chapters, in: John B. Davis & D. Wade Hands (ed.), The Elgar Companion to Recent Economic Methodology, chapter 10, Edward Elgar Publishing.
    5. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    6. Duffy, John, 2006. "Agent-Based Models and Human Subject Experiments," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011, Elsevier.
    7. Stefano Balbi & Carlo Giupponi, 2009. "Reviewing agent-based modelling of socio-ecosystems: a methodology for the analysis of climate change adaptation and sustainability," Working Papers 2009_15, Department of Economics, University of Venice "Ca' Foscari".
    8. Antonio Doria, Francisco, 2011. "J.B. Rosser Jr. , Handbook of Research on Complexity, Edward Elgar, Cheltenham, UK--Northampton, MA, USA (2009) 436 + viii pp., index, ISBN 978 1 84542 089 5 (cased)," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 196-204, April.
    9. Moulet, Sonia & Rouchier, Juliette, 2008. "The influence of seller learning and time constraints on sequential bargaining in an artificial perishable goods market," Journal of Economic Dynamics and Control, Elsevier, vol. 32(7), pages 2322-2348, July.
    10. Victorien Barbet & Renaud Bourlès & Juliette Rouchier, 2020. "Informal risk-sharing cooperatives: the effect of learning and other-regarding preferences," Journal of Evolutionary Economics, Springer, vol. 30(2), pages 451-478, April.
    11. Shu-Heng Chen & Bin-Tzong Chie & Ying-Fang Kao & Ragupathy Venkatachalam, 2019. "Agent-Based Modeling of a Non-tâtonnement Process for the Scarf Economy: The Role of Learning," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 305-341, June.
    12. Schuster, Stephan, 2012. "Applications in Agent-Based Computational Economics," MPRA Paper 47201, University Library of Munich, Germany.
    13. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046.
    14. Pascal Seppecher & Isabelle Salle & Dany Lang, 2019. "Is the market really a good teacher?," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 299-335, March.
    15. Daniele Giachini, 2018. "Rationality and Asset Prices under Belief Heterogeneity," LEM Papers Series 2018/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    16. Sensfuß, Frank & Ragwitz, Mario & Genoese, Massimo & Möst, Dominik, 2007. "Agent-based simulation of electricity markets: a literature review," Working Papers "Sustainability and Innovation" S5/2007, Fraunhofer Institute for Systems and Innovation Research (ISI).
    17. Gerard Ballot & Antoine Mandel & Annick Vignes, 2015. "Agent-based modeling and economic theory: where do we stand?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 199-220, October.
    18. Anufriev, Mikhail & Panchenko, Valentyn, 2009. "Asset prices, traders' behavior and market design," Journal of Economic Dynamics and Control, Elsevier, vol. 33(5), pages 1073-1090, May.
    19. Alan Kirman & Sonia Moulet, 2008. "Impact de l'organisation du marché: Comparaison de la négociation de gré à gré et des enchères descendantes," Working Papers halshs-00349034, HAL.
    20. Mikhail Anufriev & Jasmina Arifovic & John Ledyard & Valentyn Panchenko, 2013. "Efficiency of continuous double auctions under individual evolutionary learning with full or limited information," Journal of Evolutionary Economics, Springer, vol. 23(3), pages 539-573, July.

    More about this item

    Keywords

    Loyalty; Learning; Search; Market for perishable goods; C88; D49; D83; Z13;
    All these keywords.

    JEL classification:

    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • D49 - Microeconomics - - Market Structure, Pricing, and Design - - - Other
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

    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:kap:compec:v:41:y:2013:i:2:p:151-170. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.