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16–17 septembre 2019, salle MS003
Nathan Miller (Georgetown University)
TSE, 9 septembre 2019, 14h00–15h30, salle MS001
We study an infinitely-repeated game of oligopolistic price leadership in which one firm, the leader, proposes a supermarkup over Bertrand prices to a coalition of rivals. We estimate the model with aggregate scanner data on the beer industry and find the supermarkup accounts for 6% of price. Price...
Matti Keloharju (Aalto University)
Toulouse : TSE, 9 septembre 2019, 12h30–14h00, salle MF 323
Eric Maskin (Harvard University)
Toulouse : TSE, 9 septembre 2019, 10h00–11h30, salle MS 001
We show that majority rule is uniquely characterized among voting rules by strategy-proofness, the Pareto principle, anonymity, neutrality, independence of irrelevant alternatives, and decisiveness. Furthermore, there is an extension of majority rule that satisfies these axioms on any preference...
Hyatt Regency Paris Etoile, Paris, 9 septembre 2019
CNAM, Paris, 5–6 septembre 2019
Hidenori Takahashi (Hitotsubashi University)
TSE, 2 septembre 2019, 14h00–15h30, salle MS 001
Procurement contracts often involve substantial uncertainty in project outcomes at the time of bidding. Whether the procurer of a contract bears such project risk depends on the specific contractual agreement. Using data from the Florida Department of Transportation, we document evidence that i)...
Centre Pierre Baudis, 9–12 juillet 2019
Guillaume Roger (University of Wollongong )
Toulouse : TSE, 27 juin 2019, 12h30–14h45, Toulouse, salle MF 323
A principal delegates the running of a project to an agent subject to moral hazard over an innite horizon, and cannot observe any of the outcomes. The agent sends reports at each instant t; naturally reports may be manipulated. Eliciting truthful revelation is necessary to the provision of eort,...
Frédéric Pascal (Centrale Supélec)
Toulouse : TSE, 27 juin 2019, 11h00–12h15, salle MS001
This talk deals with general problems of covariance matrix estimation with applications in signal processing. Under the widely used Gaussian assumption, the Sample Covariance Matrix (SCM) estimate provides optimal results in terms of estimation performance. However, when the observations turn to be...
