Jump to navigation
Alessandro Pavan (Northwestern University)
Toulouse : TSE, 13 juin 2022, 14h00–15h00, salle Auditorium 3
Aureo de Paula (University College, London)
Toulouse : TSE, 13 juin 2022, 11h00–12h00, salle Auditorium 3
Carolyn Fischer (World Bank)
Toulouse : TSE, 13 juin 2022, 11h00–12h15, salle Auditorium 4
Carbon pricing policies worldwide are increasingly coupled with direct or indirect subsidies where emissions pricing revenues are rebated to the regulated entities. This paper analyzes the incentives created by two novel forms of rebating that reward additional emission intensity reductions: one...
Online, 10 juin 2022, 09h00
David de La Croix (Université Catholique de Louvain)
9 juin 2022, 11h00–12h30, salle Auditorium 4
Using a new database of European academics,we provide a global view of the eect of the Protestant Reformation on the network of universities and on their individual importance within the network (centrality). A connection (edge) between two universities (nodes) is defined by the presence of the...
Lenaïc Chizat (Ecole Polytechnique, Lausanne)
Toulouse : TSE, 9 juin 2022, 11h00–12h15, salle A3
The Langevin algorithm is a standard method to minimize, in the space of probability measures, the sum of a linear functional and the entropy. In this talk, motivated by the analysis of noisy gradient descent to compute grid-free regularized Wasserstein barycenters, we consider the « Mean-Field...
TSE, 9–11 juin 2022
Jeremie Jakubowicz (VP data at Qonto)
TSE & IAST, 8 juin 2022, 12h30–13h30, Auditorium A4
Martin Beraja (Massachusetts Institute of Technology)
TSE, 7 juin 2022, 14h00–15h30, salle Auditorium 4
How should the government respond to automation? We study this question in a heterogeneous agent model that takes worker displacement seriously. We recognize that displaced workers face two frictions in practice: reallocation is slow and borrowing is limited. We first show that these frictions...
Matthias Rottner (Bundesbank)
7 juin 2022, BDF Paris
We leverage recent developments in machine learning to develop methods to estimate large and complex nonlinear macroeconomic models, e.g. HANK models. Our method relies on neural networks because of their appealing feature that even models with hundreds of state variables can be solved. While...
