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Jérôme Bolte, Edouard Pauwels et Antonio Silveti-Falls
vol. 34, n° 1, 2024
We leverage path differentiability and a recent result on nonsmooth implicit differentiation calculus to give sufficient conditions ensuring that the solution to a monotone inclusion problem will be path differentiable, with formulas for computing its generalized gradient. A direct consequence of...
Irene Monasterolo, Antonia Pacelli, Marco Pagano et Carmine Russo
n° eiae065, décembre 2024
Europe faces a large climate investment gap. To fill it, we propose the joint issuance of European climate bonds. These bonds would be funded by selling greenhouse gas emission allowances via the Emissions Trading System, extended to cover all sectors. Access to the resulting funds would be...
Jad Beyhum, Elia Lapenta et Pascal Lavergne
décembre 2024
We extend nonparametric regression smoothing splines to a context where there is endogeneity and instrumental variables are available. Unlike popular existing estimators, the resulting estimator is one-step and relies on a unique regularization parameter. We derive rates of the convergence for the...
Sylvain Chabé-Ferret, Philippe Le Coent, Caroline Lefebvre, Raphaele Préget, François Salanié, Julie Subervie et Sophie Thoyer
vol. 156, décembre 2024, p. 9–30
Nudges are increasingly used to alter the behaviour of economic agents as an alter native to monetary incentives. However, little is known as to whether nudges can backfire, that is, how and when they may generate effects opposite to those they intend to achieve. We provide the first field evidence...
Aris Daniilidis, Laurent Miclo et David Salas
vol. 287, n° 11, 2024, 54 pages
Laurent Miclo
vol. 29, n° 76, 2024, p. 1–12
Marc Arnaudon, Koléhè Coulibaly-Pasquier et Laurent Miclo
vol. 24, n° 183, 2024, p. 1–43
Sébastien Gadat et Clément Lalanne
vol. 235, « ICML'24: Proceedings of the 41st International Conference on Machine Learning », 2024, p. 25936 – 25975
Fueled by the ever-increasing need for statistics that guarantee the privacy of their training sets, this article studies the centrally-private estimation of Sobolev-smooth densities of probability over the hypercube in dimension d. The contributions of this article are two-fold : Firstly, it...
David Martimort et Jérôme Pouyet
2024, à paraître
Pay-TV firms compete both downstream to attract viewers and upstream to acquire broadcasting rights. Because profits inherited from downstream competition satisfy a Convexity Property, allocating rights to the dominant firm maximizes the industry profit. Such an exclusive allocation of rights...
Jean-Bernard Lasserre
2024
