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Demand Dyanmics with Socially Evolving Preferences

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  • Aversi, Roberta, et al

Abstract

In this work we, first, identify a few stylized facts concerning microconsumption acts. Second, building on them, we develop a simple model of 'boundedly rational' consumers who endogenously evolve their preferences via both innovation and social imitation. Third, we explore some statistical properties of the demand patterns generated by the model which, despite its simplicity, are surprisingly in line with the empirical evidence. These results, we suggest, bring encouraging support to microfoundations of demand theory based on cognitive and behavioral foundations more in tune with the psychological and sociological evidence, based on heterogeneous agents who are much less 'rational' and much more social than in standard theory, and who collectively discover 'along the way' what they like within a growing universe of available commodities. Copyright 1999 by Oxford University Press.

Suggested Citation

  • Aversi, Roberta, et al, 1999. "Demand Dyanmics with Socially Evolving Preferences," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 8(2), pages 353-408, June.
    • Handle: RePEc:oup:indcch:v:8:y:1999:i:2:p:353-408
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    Cited by:

    1. Palagi, Elisa & Napoletano, Mauro & Roventini, Andrea & Gaffard, Jean-Luc, 2023. "An agent-based model of trickle-up growth and income inequality," Economic Modelling, Elsevier, vol. 129(C).
    2. Francisco J. Santos-Arteaga & Debora Di Caprio & Madjid Tavana & Aidan O'Connor, 2017. "Formalising The Demand For Technological Innovations: Rational Herds, Market Frictions And Network Effects," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(02), pages 1-43, February.
    3. 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.
    4. Giovanni Dosi, 2012. "Economic Coordination and Dynamics: Some Elements of an Alternative "Evolutionary" Paradigm," LEM Papers Series 2012/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. 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.
    6. Nicole J. Saam, 2005. "The Role of Consumers in Innovation Processes in Markets," Rationality and Society, , vol. 17(3), pages 343-380, August.
    7. Andreas Chai & Alessio Moneta, 2013. "Back to Engel? Some Evidence for the Hierarchy of Needs," Economic Complexity and Evolution, in: Andreas Pyka & Esben Sloth Andersen (ed.), Long Term Economic Development, edition 127, pages 33-59, Springer.
    8. 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].
    9. Nathalie Lazaric & Vanessa Oltra, 2012. "Sustainable Consumption in an Evolutionary Framework: How to Foster Behavioural Change?," Chapters, in: Blandine Laperche & Nadine Levratto & Dimitri Uzunidis (ed.), Crisis, Innovation and Sustainable Development, chapter 3, Edward Elgar Publishing.
    10. Matteo Barigozzi & Alessio Moneta, 2016. "Identifying the Independent Sources of Consumption Variation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(2), pages 420-449, March.
    11. Dosi, G. & Pereira, M.C. & Roventini, A. & Virgillito, M.E., 2022. "Technological paradigms, labour creation and destruction in a multi-sector agent-based model," Research Policy, Elsevier, vol. 51(10).
    12. 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.
    13. Eisend, Martin & Schmidt, Susanne, 2014. "The influence of knowledge-based resources and business scholars’ internationalization strategies on research performance," Research Policy, Elsevier, vol. 43(1), pages 48-59.
    14. Chassagnon, Virgile & Haned, Naciba, 2015. "The relevance of innovation leadership for environmental benefits: A firm-level empirical analysis on French firms," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 194-207.
    15. Tommaso Ciarli & André Lorentz & Maria Savona & Marco Valente, 2010. "The Effect Of Consumption And Production Structure On Growth And Distribution. A Micro To Macro Model," Metroeconomica, Wiley Blackwell, vol. 61(1), pages 180-218, February.
    16. van Rijnsoever, Frank J. & Farla, Jacco C.M., 2014. "Identifying and explaining public preferences for the attributes of energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 71-82.
    17. Francisco Fatás‐Villafranca & Dulce Saura & Francisco J. Vázquez, 2007. "Emulation, Prevention And Social Interaction In Consumption Dynamics," Metroeconomica, Wiley Blackwell, vol. 58(4), pages 582-608, November.
    18. Jared Allen & Regan Stevenson & Tang Wang, 2021. "Creative and resourceful: How human, social, and psychological resources affect creative workers’ ability to rebound after failure," Small Business Economics, Springer, vol. 57(2), pages 705-719, August.
    19. Ruslan Rakhmatullin & Louis Brennan, 2014. "Motivation Behind Researchers’ Participation in Formal Networking Research Projects Funded by the European Union," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 5(2), pages 305-329, June.
    20. Stephan B. Bruns & Alessio Moneta, 2017. "Intertemporal propensity to consume," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 295-314, April.
    21. 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.

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