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Endogenous Demand and Demanding Consumers: A Computational Approach

Author

Listed:
  • Carlos M. Fernández-Márquez

    () (Universidad Autónoma de Madrid
    Universidad Autónoma de Madrid)

  • Francisco Fatás-Villafranca

    (Universidad de Zaragoza)

  • Francisco J. Vázquez

    (Universidad Autónoma de Madrid)

Abstract

Abstract In this paper we introduce an agent-based model of a discretionary consumption sector in which demand is transformed by social emulation among consumers, thereby making producers adapt to demand. Our theoretical approach considers bounded rationality of agents (consumers and producers), heterogeneity of both agents and product characteristics, and the co-evolution of consumer desires, mainly, by social emulation. The proposed dynamics can reproduce some stylized facts that are well known in literature, such as the S-shaped adoption rate curve that many industries develop over their life cycle. Our model also obtains a novel result with relevant theoretical implications: the strictness of requirements, a factor rarely studied in consumer theory, has an important effect on some aggregate variables that are usually explained by the supply side, such as the number of producers or the industrial concentration index. In particular, the minimum number of producers (and then, the maximum Herfindahl index) is obtained for an intermediate degree of consumer requirements, a fact that is empirically validated for the wine market in Spain.

Suggested Citation

  • Carlos M. Fernández-Márquez & Francisco Fatás-Villafranca & Francisco J. Vázquez, 2017. "Endogenous Demand and Demanding Consumers: A Computational Approach," Computational Economics, Springer;Society for Computational Economics, vol. 49(2), pages 307-323, February.
  • Handle: RePEc:kap:compec:v:49:y:2017:i:2:d:10.1007_s10614-015-9557-9
    DOI: 10.1007/s10614-015-9557-9
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    References listed on IDEAS

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    1. Geoffrey M. Hodgson, 2003. "The hidden persuaders: institutions and individuals in economic theory," Cambridge Journal of Economics, Oxford University Press, vol. 27(2), pages 159-175, March.
    2. Richard Nelson & Davide Consoli, 2010. "An evolutionary theory of household consumption behavior," Journal of Evolutionary Economics, Springer, vol. 20(5), pages 665-687, October.
    3. Cowan, Robin & Cowan, William & Swann, Peter, 1997. "A model of demand with interactions among consumers," International Journal of Industrial Organization, Elsevier, vol. 15(6), pages 711-732, October.
    4. Bronwyn H. Hall & Nathan Rosenberg (ed.), 2010. "Handbook of the Economics of Innovation," Handbook of the Economics of Innovation, Elsevier, edition 1, volume 1, number 1, 00.
    5. Franco Malerba & Richard Nelson & Luigi Orsenigo & Sidney Winter, 2007. "Demand, innovation, and the dynamics of market structure: The role of experimental users and diverse preferences," Journal of Evolutionary Economics, Springer, vol. 17(4), pages 371-399, August.
    6. Brian J. Loasby, 2001. "special issue: Cognition, imagination and institutions in demand creation," Journal of Evolutionary Economics, Springer, vol. 11(1), pages 7-21.
    7. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132-132.
    8. Marco Valente, 2012. "Evolutionary demand: a model for boundedly rational consumers," Journal of Evolutionary Economics, Springer, vol. 22(5), pages 1029-1080, November.
    9. Rixen, Martin & Weigand, Jürgen, 2014. "Agent-based simulation of policy induced diffusion of smart meters," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 153-167.
    10. Aversi, Roberta, et al, 1999. "Demand Dyanmics with Socially Evolving Preferences," Industrial and Corporate Change, Oxford University Press, vol. 8(2), pages 353-408, June.
    11. Stigler, George J & Becker, Gary S, 1977. "De Gustibus Non Est Disputandum," American Economic Review, American Economic Association, vol. 67(2), pages 76-90, March.
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