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The Dynamics of Social Influence

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  • Bary S.R. Pradelski

Abstract

Individual behaviors such as smoking, fashion, and the adoption of new products is influenced by taking account of others' actions in one's decisions. We study social influence in a heterogeneous population and analyze the long-run behavior of the dynamics. We distinguish between cases in which social influence arises from responding to the number of current adopters, and cases in which social influence arises from responding to the cumulative usage. We identify the equilibria of the dynamics and show which equilibrium is observed in the long-run. We find that the models exhibit different behaviour and hence this differentiation is of importance. We also provide an intuition for the different outcomes.

Suggested Citation

  • Bary S.R. Pradelski, 2015. "The Dynamics of Social Influence," Economics Series Working Papers 742, University of Oxford, Department of Economics.
  • Handle: RePEc:oxf:wpaper:742
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    References listed on IDEAS

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    1. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    2. Abhijit Banerjee & Arun G. Chandrasekhar & Esther Duflo & Matthew O. Jackson, 2012. "The Diffusion of Microfinance," NBER Working Papers 17743, National Bureau of Economic Research, Inc.
    3. Baddeley, M. & Pillas, D. & Christopoulos, Y. & Schultz, W. & Tobler, P., 2007. "Herding And Social Pressure In Trading Tasks: A Behavioural Analysis," Cambridge Working Papers in Economics 0730, Faculty of Economics, University of Cambridge.
    4. Glenn Ellison & Drew Fudenberg, 1995. "Word-of-Mouth Communication and Social Learning," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(1), pages 93-125.
    5. Babichenko, Yakov, 2013. "Best-reply dynamics in large binary-choice anonymous games," Games and Economic Behavior, Elsevier, vol. 81(C), pages 130-144.
    6. Cukierman, Alex, 1991. "Asymmetric Information and the Electoral Momentum of Public Opinion Polls," Public Choice, Springer, vol. 70(2), pages 181-213, May.
    7. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.
    8. H. Peyton Young, 2009. "Innovation Diffusion in Heterogeneous Populations: Contagion, Social Influence, and Social Learning," American Economic Review, American Economic Association, vol. 99(5), pages 1899-1924, December.
    9. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
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    Cited by:

    1. Block, Juan I. & Fudenberg, Drew & Levine, David K., 2019. "Learning dynamics with social comparisons and limited memory," Theoretical Economics, Econometric Society, vol. 14(1), January.

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    More about this item

    Keywords

    social influence; imitation; equilibrium selection;
    All these keywords.

    JEL classification:

    • C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium
    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General
    • G00 - Financial Economics - - General - - - General

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