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BEGIN:VEVENT
DTSTAMP:20260505T201715Z
DTSTART;VALUE=DATE-TIME:20221114T140000
DTEND;VALUE=DATE-TIME:20221114T153000
SUMMARY:Econometrics Seminar - Emmanuel Guerre (Queen Mary)
TZID:Europe/London
UID:20221114-8a17841b8267f64601826d47ea1a4dc0@warwick.ac.uk
CREATED:20221109T151255Z
DESCRIPTION:Nonparametric identification of first-price auction with unob
 served competition: a density discontinuity framework (joint with Yao Lu
 o (University of Toronto)) Abstract: We consider nonparametric identific
 ation of independent private value first-price auction models\, in which
  the analyst only observes winning bids. Our benchmark model assumes an 
 exogenous number of bidders N. We show that\, if the bidders observe N\,
  the resulting discontinuities in the winning bid density can be used to
  identify the distribution of N. The private value distribution can be n
 onparametrically identified in a second step. This extends\, under testa
 ble identification conditions\, to the case where N is a number of poten
 tial buyers\, who bid with some unknown probability. Identification also
  holds in presence of additive unobserved heterogeneity drawn from some 
 parametric distributions. A last class of extensions deals with cartels 
 which can change size across auctions due to varying bidder cartel membe
 rship. Identification still holds if the econometrician observes winner 
 identities and winning bids\, provided a (unknown) bidder is always a ca
 rtel member. The cartel participation probabilities of other bidders can
  also be identified. An application to USFS timber auction data illustra
 tes the usefulness of discontinuities to analyze bidder participation. T
 he paper can be find here: https://arxiv.org/pdf/1908.05476.pdf
LOCATION:S2.79
CATEGORIES:Econometrics Seminar
LAST-MODIFIED:20221109T151255Z
ORGANIZER;CN=Gill Gudger:
END:VEVENT
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