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John Van Reenen
Online, 14 janvier 2022, révision 10 juin 2026
Emma Riley (University of Washington - Saint Louis)
TSE, Toulouse, 2021
Mobile banking services have the potential to transform access to banking, by allowing individuals to access far away bank accounts from their mobile phones. However, adoption of these services frequently remains low, especially amongst rural populations, who have the most to gain from them but...
Jenny Aker (Tufts University)
Digital financial services, and mobile money (m-money) in particular, have generated considerable enthusiasm and hope for a reduction in remittance fees for the rural poor. This is especially the case in Sub-Saharan Africa, where remittances account for 2.5 percent of the region’s gross domestic...
Bence Bago, Jean-François Bonnefon et Wim De Neys
vol. 150, n° 6, 2021, p. 1081–1094
Human interactions often involve a choice between acting selfishly (in ones' own interest) and acting prosocially (in the interest of others). Fast-and-slow models of prosociality posit that people intuitively favour one of these choices (the selfish choice in some models, the prosocial choice in...
Bruno Jullien et Wilfried Sand-Zantman
vol. 54, n° 100880, 2021
We propose an analysis of platform competition based on the academic literature with a view towards competition policy. First, we discuss to which extent competition can emerge in digital markets and show which forms it can take. In particular, we underline the role of dynamics, but also of...
Jérôme Bolte, David Bertoin, Sebastien Gerchinovitz et Edouard Pauwels
sous la direction de M. Ranzato, A. Beygelzimer, Y. Dauphin, P.S. Liang et J. Wortman Vaughan, 2021, p. 468–479
In theory, the choice of ReLU(0) in [0, 1] for a neural network has a negligible influence both on backpropagation and training. Yet, in the real world, 32 bits default precision combined with the size of deep learning problems makes it a hyperparameter of training methods. We investigate the...
Catia Batista (Nova School of Business and Economics)
Y. De Castro, Sébastien Gadat, Clément Marteau et Cathy Maugis
vol. 49, n° 3, 2021, p. 1779–1809
This paper investigates the statistical estimation of a discrete mixing measure µ0 involved in a kernel mixture model. Using some recent advances in `1-regularization over the space of measures, we introduce a “data fitting and regularization” convex program for estimating µ0 in a grid-less manner...
Jean Tirole (Toulouse School of Economics)
Mariassunta Giannetti ( Stockholm School of Economics)
an market discipline affect corporate environmental and social (E&S) policies? Using international data on corporate E&S news, we show that negative coverage of firms’ E&S policies affects negatively E&S-conscious investors’ demand for stocks. As a consequence, firms with more E...
