BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//jEvents 2.0 for Joomla//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:b9a73a1eba8dbe59546c0234cd6340ae
CATEGORIES:Seminars
CREATED:20150210T181541
SUMMARY:Lunch Seminar: Mikhail Golosov - Princeton University
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:<p style="text-align: justify;"><strong>Social Insurance, Information Revel
 ation, and Lack of Commitment</strong></p><p style="text-align: justify;">A
 bstract:</p><p style="text-align: justify;">We study the optimal provision 
 of insurance against unobservable idiosyncratic shocks in a setting in whic
 h a benevolent government cannot commit. A continuum of agents and the gove
 rnment play an infinitely repeated game. Actions of the government are cons
 trained only by the threat of reverting to the worst subgame perfect equili
 brium (SPE). We construct a recursive problem that characterizes the resour
 ce allocation and information revelation on the Pareto frontier of the SPE 
 and show incentives to reveal information are provided by promised utilitie
 s. We prove a version of the Revelation Principle and find an upper bound o
 n the maximum number of messages that are needed to achieve the optimal all
 ocation. Agents play mixed strategies over that message set to limit the am
 ount of information transmitted to the government. The central feature of t
 he optimal contract is that it is optimal for agents who enter a period wit
 h low promised utility to provide no information to the government, and rec
 eive no insurance against shocks they experience in current period, while a
 gents with high promised utility reveal precise information about their cur
 rent shock and receive insurance as in economies with full commitment by th
 e government.</p>
DTSTAMP:20260406T103017Z
DTSTART:20140528T130000Z
DTEND:20140528T140000Z
SEQUENCE:0
TRANSP:OPAQUE
END:VEVENT
END:VCALENDAR