Behavioral Social Choice: Probabilistic Models, Statistical Inference, and Applications

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Cambridge University Press, May 15, 2006 - Political Science - 240 pages
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Behavioral Social Choice looks at the probabilistic foundations of collective decision-making rules. The authors challenge much of the existing theoretical wisdom about social choice processes, and seek to restore faith in the possibility of democratic decision-making. In particular, they argue that worries about the supposed prevalence of majority rule cycles that would preclude groups from reaching a final decision about what alternative they prefer have been greatly overstated. In practice, majority rule can be expected to work well in most real-world settings. They provide new insights into how alternative model specifications can change our estimates of social orderings.

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Introduction and Summary
The Lack of Theoretical and Practical Support
A General Concept of Majority Rule
On the Model Dependence versus Robustness of Social
Constructing Majority Preferences from Subset Choice Data
Majority Rule in a Statistical Sampling and Bayesian
Conclusions and Directions for Future Behavioral Social
A Definitions of Cultures of Preference Distributions
Author Index

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About the author (2006)

Michel Regenwetter is Associate Professor of Psychology and Political Science at the University of Illinois, Urbana-Champaign. In 1999, Dr Regenwetter was awarded the Young Investigator Award of the Society for Mathematical Psychology. He has been principal investigator on multiple grants from the National Science Foundation and the Research Board of the University of Illinois. Dr Regenwetter has published over 20 scholarly articles in leading academic journals in his field, including in the Journal of Experimental Psychology: Learning, Memory and Cognition, the Journal of Mathematical Psychology, Management Science, Mathematical Social Sciences, Psychological Review, Psychometrika, Social Choice and Welfare, and Theory and Decision. Dr Regenwetter has served as guest associate editor for Management Science, and since 2003, he has been a permanent member of the editorial board of the Journal of Mathematical Psychology.

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