A quantitative discursive dilemma
- 55 Downloads
The typical judgment aggregation problem in economics and other fields is the following: a group of people has to judge/estimate the value of an uncertain variable y, which is a function of k other variables, i.e., y = D(x1, . . . , xk). We analyze when it is possible for the group to arrive at collective judgements on the variables that respect D. We consider aggregators that fulfill Arrow’s IIA-condition and neutrality. We show how possibility and impossibility depend on the functional form of D, and generalize Pettit’s (2001) binary discursive dilemma to quantitative judgements.
Unable to display preview. Download preview PDF.
- Brainard WC (1967) Uncertainty and the effectiveness of policy. Am Econ Rev 57(2): 411–425Google Scholar
- Claussen CA, Røisland (2005) Collective economic decisions and the discursive dilemma. Working paper 2005/3, Norges BankGoogle Scholar
- Dietrich F, List C (2007b) Opinion pooling on general agendas. Research Memoranda 038, METEOR, Maastricht Research School of Economics of Technology and Organization, MaastrichtGoogle Scholar
- List C, Pettit P (2002) Aggregating sets of judgments: an impossibility result. Econ Philos 18: 89–110Google Scholar
- List C, Puppe C (2009) Judgment aggregation: a survey. In: Anand P, Puppe C, Pattanaik P (eds) Oxford Handbook of Rational and Social Choice. Oxford University PressGoogle Scholar
- Persson T, Tabellini G (2000) Political economics—explaning economic policy. MIT Press, CambridgeGoogle Scholar