Summary
This chapter introduces an artificial payment card market in which we model the interactions between consumers, merchants and competing card issuers with the aim of determining the optimal pricing structure for card issuers. We allow card issuers to charge consumers and merchants fixed fees, provide net benefits from card usage and engage in marketing activities. The demand by consumers and merchants is only affected by the size of the fixed fees and the optimal pricing structure consists of a sizeable fixed fee to consumers, no fixed fee to merchants, negative net benefits to consumers and merchants as well as a high marketing effort.
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References
Alexandrova-Kabadjova B, Krause A, Tsang E (2006) An agent-based model of interactions in the payment card market. Working Paper 07, Centre for Computational Finance and Economic Agents
Alexandrova-Kabadjova B, Tsang E, Krause A (2006) Market structure and information in payment card markets. Working Paper 06, Centre for Computational Finance and Economic Agents
Baluja S (1994) Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning. Working paper CMU-CS-94-163, School of Computer Science, Carnegie Mellon University
Chakravorti S (2003) A theory of credit card networks: A survey of the literature. Review of Network Economics 2:50-68
Commission of the European Communities (2007) Communication from the Commission - Sector Inquiry under Art 17 of Regularion 1/2003 in retail banking (Final Report). Tech. rep., Commission of the European Communities
Cruichshank D (2000) Competition in UK Banking. Report to the Chancellor of the Exchequer. http://www.bankreview.org.uk
Evans DS, Schmalensee R (2003) Paying with Plastic: The Digital Revolution in Buying and Borrowing, 2nd edn. MIT Press
Federal Reserve System (2004) The 2004 Federal Reserve Payments Study: Analysis of Noncash Payments Trends in the United States: 2000 - 2003. Tech. rep., Federal Reserve System
Gans J, King S (2002) A Theoretical Analysis of Credit Card Regulation. Working paper 2002-11, Melbourne Business School
Kern M (2006) Parameter adaptation in heuristic search: A population-based approach. PhD thesis, Department of Computer Science, University of Essex
LeBaron B (2006) Agent-based computational finance. In: Tesfatsion L, Judd K (eds) Handbook of Computational Economics, vol 2, North-Holland, chap 9
Rochet JC, Tirole J (2002) Cooperation among competitors: Some economics of payment card associations. The RAND Journal of Economics 33:1-22
Rochet JC, Tirole J (2007) Tying-in two-sided markets and the honour all cards rule. CEPR Discussion Papers 6132, C.E.P.R. Discussion Papers, available at http://ideas.repec.org/p/cpr/ceprdp/6132.html
Schmalensee R (2002) Payment systems and interchange fees. Journal of Industrial Economics 50:103-122
Tesfatsion L (2006) Agent-based computational economics: A constructive approach to economic theory. In: Tesfatsion L, Judd K (eds) Handbook of Computational Economics, vol 2, North-Holland, chap 1
Tesfatsion L, Judd K (eds) (2006) Handbook of Computational Economics, vol 2. North-Holland
Wright J (2003) Optimal card payment systems. European Economic Review 47:587-612
Wright J (2003) Pricing in debit and credit card schemes. Economics Letters 80:305-309
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Alexandrova-Kabadjova, B., Tsang, E., Krause, A. (2008). Evolutionary Learning of the Optimal Pricing Strategy in an Artificial Payment Card Market. In: Brabazon, A., O’Neill, M. (eds) Natural Computing in Computational Finance. Studies in Computational Intelligence, vol 100. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77477-8_13
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DOI: https://doi.org/10.1007/978-3-540-77477-8_13
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