Template-Type: ReDIF-Paper 1.0
Title: Two-Dimensional Information Acquisition in Social Learning
Author-Name: Nina Bobkova
Author-Email: nina.bobkova@rice.edu
Author-Name: Helene Mass
Author-Email: hmass@uni-bonn.de
Classification-JEL: D82, D83
Keywords:  Information Acquisition, Social Learning, Information Aggregation

Abstract: We analyze a social learning model where the agents’ utility depends on a common
component and an idiosyncratic component. Each agent splits a learning budget between
the two components. We show that information about the common component is fully
aggregated if and only if agents do not have to sacrifice learning about their idiosyncratic
component in order to learn marginally about the common component. If agents vary in
how much they value their idiosyncratic component, then the order of agents can strictly
impact how much information is aggregated


Note: 
Length: 17
Creation-Date: 2023-06
Revision-Date: 
File-URL: https://www.crctr224.de/research/discussion-papers/archive/dp433
File-Format: application/pdf
Handle: RePEc:bon:boncrc:CRCTR224_2023_433