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Evolutionary demand: a model for boundedly rational consumers

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  • Marco Valente

Abstract

The paper is based on the acknowledgement that properties of markets stemming from features of demand are too frequently overlooked in the economic literature, particularly among evolutionary scholars. The overall goal is to show that “demand matters” to understand properly observed properties of markets not only because of its exogenous (i.e. non-economic) features, but also because of aspects of consumers’ behavior that fully deserve to be considered in the domain of economics. The paper presents a general model of the consumer based on a bounded rational decision algorithm. The model is shown to be compatible with available evidence on consumers’ behavior and adaptable for theoretical as well as empirical applications. The description of the proposed model’s components provides the opportunity to discuss a number of issues the importance of which for the analysis of markets of markets becomes evident taking a demand-oriented perspective. Among these, we propose a formal definition of preferences meant as decision criteria used by consumers and distinct from the actual decisions made by consumers at each purchasing occasion. We also highlight the potential role of firms’ marketing in shaping consumers’ preferences, suggesting an endogenous channel of influence on consumers’ preferences which is possibly highly relevant in certain markets. We use the model to show that the proposed model can easily replicate a generic market demand function, with the advantage of more robust foundations and greater flexibility in respect of standard consumer theory. We also show that limiting to consider distributional properties of markets, neglecting the type of demand, may lead to serious errors of interpretation. Copyright Springer-Verlag 2012

Suggested Citation

  • Marco Valente, 2012. "Evolutionary demand: a model for boundedly rational consumers," Journal of Evolutionary Economics, Springer, vol. 22(5), pages 1029-1080, November.
  • Handle: RePEc:spr:joevec:v:22:y:2012:i:5:p:1029-1080
    DOI: 10.1007/s00191-012-0290-4
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    Citations

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    Cited by:

    1. Leonhard K. Lades, 2012. "The impact of differential satiation dynamics on changing consumer behavior, wellbeing, and innovative activity," Papers on Economics and Evolution 2012-16, Philipps University Marburg, Department of Geography.
    2. Andreas Chai, 2017. "Tackling Keynes’ question: a look back on 15 years of Learning To Consume," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 251-271, April.
    3. Tommaso Ciarli & André Lorentz & Marco Valente & Maria Savona, 2019. "Structural changes and growth regimes," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 119-176, March.
    4. D’Orazio, Paola & Valente, Marco, 2019. "The role of finance in environmental innovation diffusion: An evolutionary modeling approach," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 417-439.
    5. Anaïs Carlin, 2013. "Modeling Luxury Consumption: An Inter-Income Classes Study of Demand Dynamics and Social Behaviors," GREDEG Working Papers 2013-13, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, revised May 2014.
    6. Eric Brouillat, 2015. "Live fast, die young? Investigating product life spans and obsolescence in an agent-based model," Journal of Evolutionary Economics, Springer, vol. 25(2), pages 447-473, April.
    7. João Bernardino & Tanya Araújo, 2013. "On positional consumption and technological innovation: an agent-based model," Journal of Evolutionary Economics, Springer, vol. 23(5), pages 1047-1071, November.
    8. Hongjun Guan & Zhen Zhang & Aiwu Zhao & Shuang Guan, 2019. "Simulating Environmental Innovation Behavior of Private Enterprise with Innovation Subsidies," Complexity, Hindawi, vol. 2019, pages 1-12, May.
    9. André Lorentz & Tommaso Ciarli & Maria Savona & Marco Valente, 2016. "The effect of demand-driven structural transformations on growth and technological change," Journal of Evolutionary Economics, Springer, vol. 26(1), pages 219-246, March.
    10. Bruno Bruna & Faggini Marisa, 2020. "Sharing Competition: An Agent-Based Model for the Short-Term Accommodations Market," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 20(2), pages 1-13, April.
    11. Thiago Caliari & Ricardo Machado Ruiz & Marco Valente, 2016. "Heterogeneidade Da Demanda E Inovação De Produtos," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 135, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    12. Paola D’Orazio & Marco Valente, 2018. "Do Financial Constraints Hamper Environmental Innovation Diffusion? An Agent-Based Approach," SPRU Working Paper Series 2018-10, SPRU - Science Policy Research Unit, University of Sussex Business School.
    13. Peili Yu & Junguo Shi & Bert M. Sadowski & Önder Nomaler, 2020. "Catching Up in the Face of Technological Discontinuity: Exploring the Role of Demand Structure and Technological Regimes in the Transition from 2G to 3G in China," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 815-841, July.
    14. Andre Lorentz & Tommaso Ciarli & Maria Savona & Marco Valente, 2019. "Structural Transformations and Cumulative Causation: Towards an Evolutionary Micro-foundation of the Kaldorian Growth Model," Working Papers of BETA 2019-15, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    15. Rengs, Bernhard & Scholz-Waeckerle, Manuel, 2017. "Consumption & Class in Evolutionary Macroeconomics," MPRA Paper 80021, University Library of Munich, Germany.
    16. Pierre Barbaroux & Victor Santos Paulino, 2022. "Why do motives matter? A demand-based view of the dynamics of a complex products and systems (CoPS) industry," Journal of Evolutionary Economics, Springer, vol. 32(4), pages 1175-1204, September.
    17. Bernhard Rengs & Manuel Scholz-Wäckerle, 2019. "Consumption & class in evolutionary macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 229-263, March.
    18. Carlos M. Fernández-Márquez & Francisco Fatas-Villafranca & Francisco J. Vázquez, 2017. "A computational consumer-driven market model: statistical properties and the underlying industry dynamics," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 319-346, September.
    19. Leonhard Lades, 2013. "Explaining shapes of Engel curves: the impact of differential satiation dynamics on consumer behavior," Journal of Evolutionary Economics, Springer, vol. 23(5), pages 1023-1045, November.
    20. Ciarli, Tommaso & Valente, Marco, 2016. "The complex interactions between economic growth and market concentration in a model of structural change," Structural Change and Economic Dynamics, Elsevier, vol. 38(C), pages 38-54.
    21. Arfaoui, Nabila & Brouillat, Eric & Saint Jean, Maïder, 2014. "Policy design and technological substitution: Investigating the REACH regulation in an agent-based model," Ecological Economics, Elsevier, vol. 107(C), pages 347-365.
    22. Stephan B. Bruns & Alessio Moneta, 2017. "Intertemporal propensity to consume," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 295-314, April.
    23. 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.
    24. Adrien Querbes, 2018. "Banned from the sharing economy: an agent-based model of a peer-to-peer marketplace for consumer goods and services," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 633-665, August.

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    More about this item

    Keywords

    Evolutionary economics; Consumer theory; Bounded rationality; Marketing and preferences; Simulation models; Market structure; C63; D11; D81; L10; L15; M30;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • M30 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - General

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