Extending Blackwell and Lehmann: The Monotone Quasi-Garbling Order

58 Pages Posted: 30 Sep 2018

See all articles by Yonggyun Kim

Yonggyun Kim

Duke University, Department of Economics

Date Written: September 2, 2018


How should one evaluate information in a monotone decision problem where a higher action is optimal for a higher signal realization? As a criterion for comparing information structures in such environments, I develop a condition called monotone quasi-garbling meaning that an information structure is obtained by adding reversely monotone noise to another. This new criterion generally permits more comparisons than the garbling condition by Blackwell [1951, 1953] and the effectiveness condition by Lehmann [1988]. For a general class of monotone decision problems, it is shown that monotone quasi-garbling is a sufficient condition for decision makers to get a higher ex-ante expected payoff. To illustrate, I apply the result to an optimal insurance problem and to a nonlinear monopoly pricing problem.

Keywords: Information, monotonicity, Blackwell condition, Lehmnann condition, optimal insurance, nonlinear pricing

JEL Classification: C44, C60, D81, D86

Suggested Citation

Kim, Yonggyun, Extending Blackwell and Lehmann: The Monotone Quasi-Garbling Order (September 2, 2018). Economic Research Initiatives at Duke (ERID) Working Paper Forthcoming, Available at SSRN: https://ssrn.com/abstract=3218450 or http://dx.doi.org/10.2139/ssrn.3218450

Yonggyun Kim (Contact Author)

Duke University, Department of Economics ( email )

Durham, NC
United States

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