Emergent Extremism in a Multi-Agent Model of Religious Clubs
Michael D Makowsky
Clemson University - John E. Walker Department of Economics
December 1, 2009
Economic Inquiry, Forthcoming
Over the past few decades, it has become increasingly common for terrorists to frame their objectives in religious terms and organize their activities within religious movements. This paper extends previous models of religious extremism to better account for observed patterns of extremism and test policies likely to reduce the appeal of extremism. By adapting existing models to a computational framework, it is possible to analyze the distributions of agents and clubs that make up a religious economy. Extremist groups emerge as just one tail of a distribution of religious clubs that ranges according to the magnitude of costly sacrifices demanded of members. By varying the simulation parameters that control the distribution of (secular) wages and the degree of substitutability between religious and secular commodities, we see where and when religious extremism is most common and which economic policies reduce its prevalence. In particular, the model demonstrates that direct transfers of wealth tend not to reduce the appeal of extreme groups, that extremism is more common when religious groups are able to produce close substitutes for standard secular goods and services, and that increasing access to public goods (and/or secular economic opportunities) can radically reduce the extremist share of the overall population. Quantile regression modeling of data from multi-nation surveys and institutional indices corresponds to the model's key results, as well as recent research connecting civil liberties and terrorist origination.
Number of Pages in PDF File: 49
Keywords: Extremism, Religion, Sacrifice and Stigma, Terrorism, Multi-Agent Computational Model
JEL Classification: C63, Z12, H56, D71
Date posted: September 12, 2007 ; Last revised: November 1, 2010
© 2015 Social Science Electronic Publishing, Inc. All Rights Reserved.
This page was processed by apollo4 in 0.390 seconds