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BEGIN:VEVENT
DTSTAMP:20260415T030551Z
DTSTART;VALUE=DATE-TIME:20190501T110000
DTEND;VALUE=DATE-TIME:20190501T123000
SUMMARY:Econometrics Seminar - Francesca Molinari (Cornell)
TZID:Europe/London
UID:20190501-8a17841a65e803a8016614e3e610210c@warwick.ac.uk
CREATED:20190430T094343Z
DESCRIPTION:Organisers: Mingli Chen and Giovanni Ricco Title of paper is:
  Discrete choice under risk with limited consideration Abstract: This pa
 per is concerned with learning decision makers’ (DMs) preferences using 
 data on observed choices from a finite set of risky alternatives with mo
 netary outcomes. We propose a discrete choice model with unobserved hete
 rogeneity in consideration sets (the collection of alternatives consider
 ed by DMs) and unobserved heterogeneity in standard risk aversion. In th
 is framework\, stochastic choice is driven both by different rankings of
  alternatives induced by unobserved heterogeneity in risk preferences an
 d by different sets of alternatives considered. We obtain sufficient con
 ditions for semi- nonparametric point identification of both the distrib
 ution of unobserved heterogeneity in preferences and the distribution of
  consideration sets. Our method yields an estimator that is easy to comp
 ute and that can be used in markets with a large number of alternatives.
  We apply our method to a dataset on property insurance purchases. We fi
 nd that although households are on average strongly risk averse\, they c
 onsider lower coverages more frequently than higher coverages. Finally\,
  we estimate the monetary losses associated with limited consideration i
 n our application. Coauthors: Levon Barseghyan (Cornell) and Matthew Thi
 rkettle (Cornell)
LOCATION:S2.79
CATEGORIES:Econometrics Seminar
LAST-MODIFIED:20190430T094343Z
ORGANIZER;CN=Gill Gudger:
END:VEVENT
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