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

Cambridge University Press
Publication Type:
2006, 1
Issue Date:
Full metadata record
Files in This Item:
Filename Description SizeFormat
2010000417.pdf157.29 kBAdobe PDF
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.
Please use this identifier to cite or link to this item: