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VERSION:2.0
PRODID:-//jEvents 2.0 for Joomla//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:d377e69e0f45aa18b45ff45d22bf16ac
CATEGORIES:Seminars
CREATED:20191209T101805
SUMMARY:Lunch Seminar: Alexey Makarin - EIEF
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:<p style="text-align: justify;"><strong><span style="font-size: 11pt; font-
 family: Calibri, sans-serif;">Affinity and Trust </span></strong><span styl
 e="font-size: 11pt; font-family: Calibri, sans-serif;">joint with Luigi Gui
 so</span></p><p style="text-align: justify;"><strong><span style="font-size
 : 11pt; font-family: Calibri, sans-serif;">Abstract:</span></strong></p><p 
 style="text-align: justify;"><span style="font-size: 11pt; font-family: Cal
 ibri, sans-serif;">Mutually beneficial trades often rely on both trust and 
 trustworthiness. In exchanges where no prior history of behavior is observa
 ble, however, where does trust come from? Recent evidence suggests that the
  level of affinity felt between parties in an exchange positively affects t
 rustworthiness and can, therefore, affect trust beliefs. We propose a simpl
 e model incorporating affinity which predicts a positive relationship betwe
 en trust beliefs, affinity, and trustworthiness and a negative relationship
  between the dispersion of trust beliefs and affinity. Furthermore, trust b
 eliefs are slower to update in light of a shock to trustworthiness when aff
 inity is high. We show that the model's predictions are supported by data f
 rom a proprietary survey of Italian entrepreneurs and a large international
  survey (Eurobarometer).</span></p>
DTSTAMP:20260404T094944Z
DTSTART:20191211T130000Z
DTEND:20191211T134000Z
SEQUENCE:0
TRANSP:OPAQUE
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