Should (and Could) We Ban Prescriptions?
AbstractIn a simple model of social interaction I analyze the welfare effects of positive (prescriptive) and negative (proscriptive) social norms, together with the private incentives for their enactment. I find that imposing no law is socially optimal when individual actions have no significant externalities, while bans become socially optimal as the externalities increase. Prescriptions are generally the worst choice, but when the externalities involved are very high. However, in the political arena support is rarely won for non intervention or for a ban, since an alternative majority will generally be found in favor of some prescription. This remains true even when strategic voting is considered, and provides an argument for the idea that a liberal state cannot be liberally enforced by rational voters.
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Bibliographic InfoPaper provided by LABORatorio R. Revelli, Centre for Employment Studies in its series LABORatorio R. Revelli Working Papers Series with number 70.
Date of creation: 2007
Date of revision:
Norms; Bans; Liberalism; Anarchy; Strategic voting.;
Other versions of this item:
- D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
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- Iori, G. & Porter, J., 2012. "Agent-Based Modelling for Financial Markets," Working Papers 12/08, Department of Economics, City University London.
- Michael Neugart & Matteo G. Richiardi, 2012. "Agent-based models of the labor market," LABORatorio R. Revelli Working Papers Series 125, LABORatorio R. Revelli, Centre for Employment Studies.
- Flavio Lenz-Cesar & Almas Heshmati, 2010. "Agent-based Simulation of Cooperative Innovation," TEMEP Discussion Papers 201052, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2010.
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