2014/05/01 by Matthew Gentzkow, Emir Kamenica · 9 citations
Decision Sciences · #Game Theory and Applications #Auction Theory and Applications #Decision-Making and Behavioral Economics
paper · doi:10.1257/aer.104.5.457
We study the design of informational environments in settings where generating information is costly. We assume that the cost of a signal is proportional to the expected reduction in uncertainty. We show that Kamenica & Gentzkow's (2011) concavification approach to characterizing optimal signals extends to these settings.