Coleman, Stephen (2010): The spatial diffusion of social conformity: the case of voting participation.
Preview |
PDF
MPRA_paper_23057.pdf Download (285kB) | Preview |
Abstract
Social interaction combined with social conformity spreads attitudes and behaviors through a society. This paper examines such a process geographically for compliance with the norm that good citizens should vote. The diffusion of conformist behavior affects the local degree of conformity with the norm and produces highly specific and predictable patterns of behavior across a country. These are demonstrated with qualitative and quantitative spatial analysis of voter turnout in the United States and Russia.
Item Type: | MPRA Paper |
---|---|
Original Title: | The spatial diffusion of social conformity: the case of voting participation |
Language: | English |
Keywords: | social conformity; norm compliance; voting; spatial analysis, United States; Russia; mathematical model; diffusion |
Subjects: | Z - Other Special Topics > Z1 - Cultural Economics ; Economic Sociology ; Economic Anthropology > Z13 - Economic Sociology ; Economic Anthropology ; Social and Economic Stratification C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C31 - Cross-Sectional Models ; Spatial Models ; Treatment Effect Models ; Quantile Regressions ; Social Interaction Models D - Microeconomics > D7 - Analysis of Collective Decision-Making > D72 - Political Processes: Rent-Seeking, Lobbying, Elections, Legislatures, and Voting Behavior |
Item ID: | 23057 |
Depositing User: | Dr Stephen Coleman |
Date Deposited: | 04 Jun 2010 20:24 |
Last Modified: | 27 Sep 2019 00:44 |
References: | Anselin, L. (1993). The Moran Scatterplot as an ESDA Tool to Assess Local Instability in Spatial Association. Research Paper 9330. Regional Research Institute, West Virginia University, Morgantown, WV. Anselin, L. (1994). Local Indicators of Spatial Association (LISA). Research Paper 9331. Regional Research Institute, West Virginia University, Morgantown, WV. Beck, N., Gleditsch, K.S., Beardsley, K. (2006). Space is More than Geography: Using Spatial Econometrics in the Study of Political Economy. International Studies Quarterly 50: 27-44. Borodin A.D. [Бородин, А.Д.] (2005). Согласованность коллективных действий в поведении российских избирателей [The Effect of Social Conformity on the Behavior of Russian Voters]. ЭКОНОМИЧЕСКИЙ ЖУРНАЛ ВШЭ [Economic Journal HSE]. T. 3. № 1. C. 74-81. Blais, A. (2000). To Vote or Not to Vote: The Merits and Limits of Rational Choice Theory. Pittsburgh, PA: University of Pittsburgh Press. Brunsdon, C., Fotheringham, S., and Charlton, M. (1998) Geographically Weighted Regression—Modeling Spatial Non-Stationarity. The Statistician 47: 431-433. Buccellato, T. (2007). Convergence Across Russian Regions: A Spatial Econometrics Approach. Discussion Paper 70. Department of Financial and Management Studies, School of Oriental and African Studies, London. Calvo, E. and Escolar, M. (2003). The Local Voter: A Geographically Weighted Approach to Ecological Inference. American Journal of Political Science 47: 189-204. Castellano, C., Fortunato, S., and Loreto, V. (2009) Statistical Physics of Social Dynamics. Reviews of Modern Physics 81: 591-646 (or arXiv: 0710.3256v2). Cialdini, R.B. (1993). Influence: Science and Practice. 3rd ed. N.Y.: Harper Collins. Cialdini, R.B., Reno, R.R., and Kallgren, C.A. (1990). A Focus Theory of Normative Conduct: Recycling the Concept of Norms to Reduce Littering in Public Places. Journal of Personality and Social Psychology 58: 1015-1026. Clem, R.S. (2006) Russia’s Electoral Geography. Eurasian Geography and Economics 47: 381-406. Cohen, J. and Tita, G. (1999). Diffusion in Homicide: Exploring a General Method for Detecting Spatial Diffusion Processes. Journal of Quantitative Criminology 15: 451-493. Coleman, S. (2002). A Test for the Effect of Social Conformity on Crime Rates Using Voter Turnout. Sociological Quarterly 43: 257-276. Coleman, S. (2004). The Effect of Social Conformity on Collective Voting Behavior. Political Analysis 12: 76-96. Coleman, S. (2007a). Popular Delusions: How Social Conformity Molds Society and Politics. Youngstown, NY: Cambria Press. Coleman, S. (2007b). Testing Theories with Qualitative and Quantitative Predictions. European Political Science 6: 124-133. Coleman, S. ( 2010). [Коулман, С.] Реформа российской избирательной системы и влияние социальной конформности на голосование и партийную систему: 2007 и 2008 годы [Russian Election Reform and the Effect of Social Conformity on Voting and the Party System: 2007 and 2008.] Журнала Новой экономической ассоциации [Journal of the New Economic Association (Moscow)] 5: 72-90. English version at http://www.econorus.org/enjournal.phtml. Darmofal, D. (2008). The Political Geography of the New Deal Realignment. American Politics Research 36: 934-961. Dodds, P.S. and Watts, D.J. (2004). Universal Behavior in a Generalized Model of Contagion. Physics Review Letters 92: 218701 (or arXiv: 0403699v1.) Efron, B. and Tibshirani, R. J. (1998). An Introduction to the Bootstrap. Baton Rouge, FL: Chapman and Hall. Fosco, C., Laruelle, A., and Sanchez, A. (2009). Turnout Intention and Social Networks. IDEAS, IKERLANAK paper 200934, Universidad del Pais Vasco, Departamento de Fundamentos del Analisis Economico I. Garabedian, P.R. (1964). Partial Differential Equations. New York: Wiley. Gerber, A., Green, D.P, and Larimer, C. (2008). Social Pressure and Voter Turnout: Evidence from a Large-scale Field Experiment. American Political Science Review 102: 33-48. Gerber, A. and Rogers, T. (2009). Descriptive Social Norms and Motivation to Vote: Everybody’s Voting and so Should You. Journal of Politics 71: 178-191. Haining, R. (1990). Spatial Data Analysis in the Social and Environmental Sciences. New York: Cambridge University Press. Haining, R. (2003). Spatial Data Analysis: Theory and Practice. New York: Cambridge University Press. Haji-Sheikh, A. and Sparrow, E.M. (1966). The Floating Random Walk and its Application to Monte Carlo Solutions of Heat Equations. SIAM Journal of Applied Mathematics 14: 370-389. Huckfeldt, R., and Sprague, J. (1995). Citizens, Politics, and Social Communication: Information and Influence in an Election Campaign. NY: Cambridge University Press. Kellogg, O.D. (1953). Foundations of Potential Theory. New York: Dover. Kenny, C.B. (1992). Political Participation and Effects from the Social Environment. American Journal of Political Science 36: 259-267. Kholodilin, K.A., Oshchepkov, A., and Silivertovs, B. (2009). The Russian Regional Convergence Process: Where Does It Go? Discussion Paper 861. German Institute for Economic Research, Berlin. Knack, S. (1992). Civic Norms, Social Sanctions, and Voter Turnout. Rationality and Society 4: 133-156. Knack, S., and Kropf, M.E. (1998). For Shame! The Effect of Community Cooperative Context and the Probability of Voting. Political Psychology 19: 585-599. Ledyaeva, S. (2007). Spatial Econometric Analysis of FDI in Russian Regions. Keskustelualoitteita 51, Department of Economics and Business Administration, University of Joensuu, Finland. MacAllister, I.R, Johnston, J., Pattie, C., Tunstall, H., Dorling, D.F.L., and Rossiter, D.J. (2001). Class Dealignment and the Neighborhood Effect: Miller Revisited. British Journal of Political Science 31: 41-60. McClurg, S.D. (2003). Social Networks and Participation: The Role of Social Interaction in Explaining Political Participation. Political Research Quarterly 56: 449-464. Messner, S.F., Anselin, L., Baller, R.D., Hawkins, D.F., Deane, G., and Tolnay, S.E. (1999). The Spatial Patterning of County Homicide Rates: An Application of Exploratory Data Analysis. Journal of Quantitative Criminology 15: 423-450. Mutz, D. (2002). The Consequences of Cross-Cutting Networks for Political Participation. American Journal of Political Science 46: 838-855. Mutz, D. (1992). Impersonal Influence: Effects of Representations of Public Opinion on Political Attitudes. Political Behavior 14: 89-122. Myers, D.J., (2000). The Diffusion of Collective Violence: Infectiousness, Susceptibility, and Mass Media Networks. The American Journal of Sociology 106: 173-208. Nowak, A. and Vallacher, R.R. (1998). Dynamical Social Psychology. New York: Guilford Press. O’Loughlin, J., Flint, C., and Anselin, L. (1994). The Geography of the Nazi Vote: Context, Confession, and Class in the Reichstag Election of 1930. Annals of the Association of American Geographers 84: 351-380. Shin, M.E. (2001). The Politicization of Place in Italy. Political Geography 20: 331-352. Shin, M.E., and Agnew, J. (2007). The Geographical Dynamics of Italian Electoral Change. Electoral Studies 26: 287-302. Sznajd-Weron, K. and Sznajd, J. (2000). Opinion Evolution in a Closed Community. International Journal of Modern Physics C 11: 1157- 1165 (or arXiv: cond-mat/0101130v2.) Taagepera, R. (2008). Making Social Sciences More Scientific. New York: Oxford. Tam Cho, W. and Rudolph, T.J. (2008). Emanating Political Participation: Untangling the Spatial Structure Behind Participation. British Journal of Political Science 38: 273-289. Tolnay, S.E., Deane, G., Beck, E.M. (1996). Vicarious Violence: Spatial Effects of Southern Lynchings. The American Journal of Sociology 102: 788-815. Ward, M. and Gleditsch, K. (2008). Spatial Regression Models. Thousand Oaks, CA: Sage. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/23057 |