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VERSION:2.0
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UID:event-11023@www.amse-aixmarseille.fr
DTSTAMP:20260422T015210Z
CREATED:20260422T015210Z
LAST-MODIFIED:20260422T015210Z
STATUS:CONFIRMED
SEQUENCE:0
SUMMARY:amse seminar - Miquel Oliu-Barton
DTSTART:20240321T103000Z
DTEND:20240321T114500Z
DESCRIPTION:We study innovation diffusion and ask how to optimally balance 
 between incentives and compromising social learning. Motivated by the Covid
 -19 crisis we consider an individualâ€™s decision to adopt the innovation (
 e.g.\, a vaccine) depending on a known Â cost and an unknown benefit\, whic
 h is learned over time through social learning. The population is heterogen
 eous with respect to the perceived value of innovation and the acquisition 
 of information. We consider policy interventions that add incentives toward
 s adoption\, and (thus) compromise the perceived reliability of social lear
 ning. We derive a macro-level adoption dynamics and show that if a single-c
 rossing assumption holds\, there is a unique optimal time for any intervent
 ion (possibly never). When considering a set of interventions\, we show tha
 t an optimal sequence exhibits increasing incentives. Our findings can info
 rm policy\, as we identify a local\, testable condition that identifies the
  optimal intervention timing. Finally\, using vaccination data from Franceâ
 €™s 96 mainland dÃ©partements\, before and after the introduction of Covid 
 certificates\, we are able to validate the key assumptions of our model. We
  then calibrate the model to several countries that implemented Covid certi
 ficates during the pandemic\, and assess the health impact of non-optimal t
 iming.\\n\\nContact: Cecilia Garcia PeÃ±alosa:Â cecilia.garcia-penalosa[at]
 univ-amu.fr\n\nPlus d'informations: https://www.amse-aixmarseille.fr/en/eve
 nts/miquel-oliu-barton-4
LOCATION:ÃŽlot Bernard du Bois - Salle 21\, AMU - AMSE\, 5-9 boulevard Maur
 ice Bourdet\, 13001 Marseille
URL;VALUE=URI:https://www.amse-aixmarseille.fr/en/events/miquel-oliu-barton-4
CONTACT:Cecilia Garcia PeÃ±alosa:&nbsp\;cecilia.garcia-penalosa[at]univ-amu
 .fr
TRANSP:OPAQUE
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