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Emergent Extremism In A Multi‐Agent Model Of Religious Clubs

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  • MICHAEL D. MAKOWSKY

Abstract

This paper extends the club model of religion to better account for observed patterns of extremism. We adapt existing models to a multi‐agent framework and analyze the distribution of agents and clubs. We find that extremism is more successful when religious groups are able to produce close substitutes for standard goods and that increased access to publicly provided goods can reduce the extremist population share. Quantile regression modeling of data from a multi‐nation survey and institutional indices corresponds to the model's key results. Our findings offer a potential theoretical mechanism behind research linking terrorist origination to civil liberties. (JEL C63, Z12, H56, D71)

Suggested Citation

  • Michael D. Makowsky, 2012. "Emergent Extremism In A Multi‐Agent Model Of Religious Clubs," Economic Inquiry, Western Economic Association International, vol. 50(2), pages 327-347, April.
    • Handle: RePEc:bla:ecinqu:v:50:y:2012:i:2:p:327-347
    DOI: j.1465-7295.2009.00262.x
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    Cited by:

    1. José Manuel Pastor & Jose M. Pavía & Lorenzo Serrano & Emili Tortosa-Ausina, 2017. "Rich regions, poor regions and bank branch deregulation in Spain," Regional Studies, Taylor & Francis Journals, vol. 51(11), pages 1678-1694, November.
    2. Sriya Iyer, 2016. "The New Economics of Religion," Journal of Economic Literature, American Economic Association, vol. 54(2), pages 395-441, June.
    3. Fan, Jijian & Friedman, Daniel & Gair, Jonathan & Iyer, Sriya & Redlicki, Bartosz & Velu, Chander, 2021. "A simulation study of how religious fundamentalism takes root," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 465-481.
    4. Friedman, Daniel. & Fan, Jijian. & Jonathan Gair & Sriya Iyer & Bartosz Redlicki & Chander Velu, 2016. "How Fundamentalism Takes Root: A Simulation Study," Cambridge Working Papers in Economics 1681, Faculty of Economics, University of Cambridge.
    5. Makowsky, Michael D. & Smaldino, Paul E., 2016. "The evolution of power and the divergence of cooperative norms," Journal of Economic Behavior & Organization, Elsevier, vol. 126(PA), pages 75-88.
    6. Jason A. Aimone & Laurence R. Iannaccone & Michael D. Makowsky & Jared Rubin, 2013. "Endogenous Group Formation via Unproductive Costs," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(4), pages 1215-1236.
    7. Noury, Abdul G. & Speciale, Biagio, 2016. "Social constraints and women's education: Evidence from Afghanistan under radical religious rule," Journal of Comparative Economics, Elsevier, vol. 44(4), pages 821-841.

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    More about this item

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • Z12 - Other Special Topics - - Cultural Economics - - - Religion
    • H56 - Public Economics - - National Government Expenditures and Related Policies - - - National Security and War
    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations

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