BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Plone.org//NONSGML plone.app.event//EN
X-WR-TIMEZONE:Europe/Berlin
BEGIN:VEVENT
SUMMARY:Philipp Strack (Yale) 23.11.2022
DTSTART;TZID=Europe/Berlin:20221123T163000
DTEND;TZID=Europe/Berlin:20221123T174500
DTSTAMP:20260422T210817Z
UID:8d4427f38ade4bfb92d34b04178c2b48@www.econ.uni-bonn.de
CREATED:20221115T154902Z
DESCRIPTION:We study how long-lived\, rational\, exponentially discounting
  agents learn in a social network. In every period\, each agent observes t
 he past actions of his neighbors\, receives a private signal\, and chooses
  an action with the objective of matching the state. Since agents behave s
 trategically\, and since their actions depend on higher order beliefs\, it
  is difficult to characterize equilibrium behavior. Nevertheless\, we show
  that regardless of the size and shape of the network\, and the patience o
 f the agents\, the speed of learning in any equilibrium is bounded from ab
 ove by a constant that only depends on the private signal distribution.
LAST-MODIFIED:20221130T094417Z
URL:https://www.econ.uni-bonn.de/micro/en/seminars/micro-theory-seminar/ph
 ilipp-strack-yale-23-11.2022
END:VEVENT
BEGIN:VTIMEZONE
TZID:Europe/Berlin
X-LIC-LOCATION:Europe/Berlin
BEGIN:STANDARD
DTSTART:20221030T020000
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
END:VTIMEZONE
END:VCALENDAR