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

ISBN-13: 9780521829687 / Angielski / Twarda / 2006 / 258 str.

Urbana-Champaign Michel Regenwetter (University of Illinois; Irvine) Bernard Grofman (University of California; British Columbia) A. A. J. Marley (University of Victoria

Opis

Looking 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.

Recenzje

2007 Outstanding Academic Title -- Choice Magazine

Spis treści

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.