Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/298810 
Year of Publication: 
2024
Series/Report no.: 
ECONtribute Discussion Paper No. 314
Publisher: 
University of Bonn and University of Cologne, Reinhard Selten Institute (RSI), Bonn and Cologne
Abstract: 
We study an information design problem with continuous state and discrete signal space. Under convex value functions, the optimal information structure is interval-partitional and exhibits a dual expectations property: each induced signal is the conditional mean (taken under the prior density) of each interval; and each interval cutoff is the conditional mean (taken under the value function curvature) of the interval formed by neighboring signals. This property enables an examination into which part of the state space is more finely partitioned. The analysis can be extended to general value functions and adapted to study coarse mechanism design.
Subjects: 
dual expectations
scrutiny
S-shaped value function
coarse nonlinear pricing
energy efficiency ratings
JEL: 
D81
D82
D83
Document Type: 
Working Paper

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