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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 (CentraleSupélec)
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...
Peter Feldhütter (Copenhagen Business School)
25 juin 2019, BDF Paris
Aniko Oery (Yale University)
TSE, 24 juin 2019, 14h00–15h30, salle MS 001
We study reward-based crowdfunding campaigns, a new class of dynamic contribution games where consumption is exclusive. Two types of backers participate: buyers want to consume the product while donors just want the campaign to succeed. The key tension is one of coordination between buyers, instead...
Adrien Matray (Princeton University)
Toulouse : TSE, 24 juin 2019, 12h30–14h00, salle MF 323salle MF 323
César Hidalgo (MIT)
TSE & IAST, 21 juin 2019, 14h30–16h00, TSE - MF323
In recent years advances in big data and algorithms have given rise to a world in which it is finally possible to include algorithmic decision making in the decision pipelines of governments and businesses. But how should governments and companies organize and communicate their data? How and when...
