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When is intergroup herding beneficial?

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  • Guo, Xiaoli
  • Ryvkin, Dmitry

Abstract

We develop a population dynamics model to explore the benefits of intergroup herding. We consider a society composed of two groups – one autonomous and the other open, i.e., learning from outsiders indiscriminately – and analyze the joint evolution of their technology adoption and population sizes. When the autonomous group converges to an inferior steady state, it can, under some conditions, drag the open group down with it. However, if the autonomous group converges to a superior steady state, the open group always ends up in the superior steady state, even if technology adoption is very difficult for its members. When the open group learns from multiple autonomous groups, the advantage of intergroup herding is more salient. However, if population is bounded, or if adopting the inferior technology generates a negative externality on the other group, intergroup herding becomes less beneficial.

Suggested Citation

  • Guo, Xiaoli & Ryvkin, Dmitry, 2022. "When is intergroup herding beneficial?," Mathematical Social Sciences, Elsevier, vol. 120(C), pages 66-77.
    • Handle: RePEc:eee:matsoc:v:120:y:2022:i:c:p:66-77
    DOI: 10.1016/j.mathsocsci.2022.09.003
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    1. Mr. Sunil Sharma & Sushil Bikhchandani, 2000. "Herd Behavior in Financial Markets: A Review," IMF Working Papers 2000/048, International Monetary Fund.
    2. Saed Alizamir & Francis de Véricourt & Shouqiang Wang, 2020. "Warning Against Recurring Risks: An Information Design Approach," Management Science, INFORMS, vol. 66(10), pages 4612-4629, October.
    3. 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.
    4. Venkatesh Bala & Sanjeev Goyal, 1998. "Learning from Neighbours," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 595-621.
    5. Shana Kushner Gadarian & Sara Wallace Goodman & Thomas B Pepinsky, 2021. "Partisanship, health behavior, and policy attitudes in the early stages of the COVID-19 pandemic," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-13, April.
    6. Morton, Rebecca B. & Muller, Daniel & Page, Lionel & Torgler, Benno, 2015. "Exit polls, turnout, and bandwagon voting: Evidence from a natural experiment," European Economic Review, Elsevier, vol. 77(C), pages 65-81.
    7. Ellison, Glenn & Fudenberg, Drew, 1993. "Rules of Thumb for Social Learning," Journal of Political Economy, University of Chicago Press, vol. 101(4), pages 612-643, August.
    8. 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.
    9. Devenow, Andrea & Welch, Ivo, 1996. "Rational herding in financial economics," European Economic Review, Elsevier, vol. 40(3-5), pages 603-615, April.
    10. 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.
    11. 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.
    12. Lones Smith & Peter Sorensen, 2000. "Pathological Outcomes of Observational Learning," Econometrica, Econometric Society, vol. 68(2), pages 371-398, March.
    13. Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
    14. Jackson, Matthew O. & Kalai, Ehud, 1997. "Social Learning in Recurring Games," Games and Economic Behavior, Elsevier, vol. 21(1-2), pages 102-134, October.
    15. Cramer,J. S., 2011. "Logit Models from Economics and Other Fields," Cambridge Books, Cambridge University Press, number 9780521188036, January.
    16. Juang, Wei-Torng, 2001. "Learning from Popularity," Econometrica, Econometric Society, vol. 69(3), pages 735-747, May.
    17. Anton Gollwitzer & Cameron Martel & William J. Brady & Philip Pärnamets & Isaac G. Freedman & Eric D. Knowles & Jay J. Van Bavel, 2020. "Partisan differences in physical distancing are linked to health outcomes during the COVID-19 pandemic," Nature Human Behaviour, Nature, vol. 4(11), pages 1186-1197, November.
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