Behavioral social choice : probabilistic models, statistical inference, and applications
著者
書誌事項
Behavioral social choice : probabilistic models, statistical inference, and applications
Cambridge University Press, 2006
- : pbk
- : hbk
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注記
Includes bibliographical references (p. 217-231) and indexes
内容説明・目次
内容説明
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. Furthermore, if there is a problem, they show that the problem is more likely to be one of sample estimates missing the majority winner in a close contest (e.g., Bush-Gore) than a problem about cycling. The authors also provide new mathematical tools to estimate the prevalence of cycles as a function of sample size and insights into how alternative model specifications can change our estimates of social orderings.
目次
- Part I. Probabilistic Models of Social Choice Behavior: 1. The lack of theoretical and practical support for majority cycles
- 2. A general concept of majority rule
- Part II. Applications of Probabilistic Models to Empirical Data: 3. On the model dependence versus robustness of social choice results
- 4. Constructing majority preferences from subset choice data
- Part III. A General Statistical Sampling and Bayesian Inference Framework: 5. Majority rule in a statistical sampling and Bayesian inference framework
- 6. Conclusions and directions for future behavioral social choice research.
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