The influence of seller learning and time constraints on sequential bargaining in an artificial perishable goods market
This paper investigates the formation of prices in a perishable goods market where agents bargain repeatedly through pair-wise interactions. After extensive field observations, we chose to focus on two aspects that seem important to actors of this market : the passage of time and update in judgement when gathering information. The main feature of the market is that a seller bargaining with a buyer has incomplete information about buyer's willingness to pay and is not sure how her trading partner will evaluate an offer or compare it with other options. On the other hand, buyers have limited time to look for good sand cannot meet all possible sellers before making a decision. Hence agents cannot calculate the best price to offer but receive information through limited interactions, and use this information to choose their actions. An agent-based model was built to represent a frame work that mimics the observed market institution and where agent's possible behaviours and learning was made as consistent as possible with gathered data. Simulations were run, first for sensitivity analysis concerning main parameters, then to test the dependence of agents'learning to (a) the time buyers can spend on the market and (b) the frequency of update in learning by sellers. To validate the model, features produced by the simulated market are compared to the stylized facts gathered for negotiation about four goods. We reproduce the main features of the data on the dynamics of offers, transaction prices and agents'behavior during the bargaining phases.
|Date of creation:||15 Jan 2009|
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- Weisbuch, Gerard & Kirman, Alan & Herreiner, Dorothea, 2000. "Market Organisation and Trading Relationships," Economic Journal, Royal Economic Society, vol. 110(463), pages 411-436, April.
- 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.
- Dan Ashlock & Mark D. Smucker & E. Ann Stanley & Leigh Tesfatsion, 1995.
"Preferential Partner Selection in an Evolutionary Study of Prisoner's Dilemma,"
Game Theory and Information
9501002, EconWPA, revised 20 Jan 1995.
- Ashlock, Daniel & Smucker, Mark D. & Stanley, E. Ann & Tesfatsion, Leigh S., 1996. "Preferential Partner Selection in an Evolutionary Study of Prisoner's Dilemma," Staff General Research Papers Archive 1687, Iowa State University, Department of Economics.
- William A. Brock & Cars H. Hommes, 1997. "A Rational Route to Randomness," Econometrica, Econometric Society, vol. 65(5), pages 1059-1096, September.
- Duffy, John & Ünver, M.Utku, 2008. "Internet auctions with artificial adaptive agents: A study on market design," Journal of Economic Behavior & Organization, Elsevier, vol. 67(2), pages 394-417, August.
- John Duffy & M. Utku Unver, 2005. "Internet Auctions with Artificial Adaptive Agents: A Study on Market Design," Computational Economics 0510001, EconWPA, revised 07 Oct 2005.
- Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics,in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186 Elsevier.
- Cars H. Hommes, 2005. "Heterogeneous Agent Models in Economics and Finance," Tinbergen Institute Discussion Papers 05-056/1, Tinbergen Institute.
- 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.
- Kirman, Alan P. & Härdle, Wolfgang & Schulz, Rainer & Werwatz, Axel, 2002. "Transactions that did not happen and their influence on prices," SFB 373 Discussion Papers 2002,45, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Kirman, Alan & Wolfgang Hardle & Rainer Schulz & Axel Werwatz, 2003. "Transactions That Did Not Happen and Their Influence on Prices," Royal Economic Society Annual Conference 2003 123, Royal Economic Society.
- 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.
- Anonymous, 1994. "Research Updates," Journal of Food Distribution Research, Food Distribution Research Society, vol. 25(1), February.
- Brenner, Thomas, 2002. "A Behavioural Learning Approach to the Dynamics of Prices," Computational Economics, Springer;Society for Computational Economics, vol. 19(1), pages 67-94, February.
- Andrew B. Abel, 1985. "Inventories, Stock-Outs and Production Smoothing," Review of Economic Studies, Oxford University Press, vol. 52(2), pages 283-293.
- Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253. Full references (including those not matched with items on IDEAS)
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