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Judith Chevalier (Yale School of Management)
Toulouse, 2020
Frédérique Fève, Thierry Magnac et Soterios Soteri
sous la direction de Timothy J. Brennan, Pier Luigi Parcu et Victor Glass, 2020
George-Marios Angeletos, Fabrice Collard et Harris Dellas
n° 11-1170, décembre 2020
We study optimal policy in an economy in which public debt is used as collateral or liquidity buffer. Issuing more public debt raises welfare by easing the underlying financial friction; but this easing lowers the liquidity premium and increases the government’s cost of borrowing. These...
Cécile Détang-Dessendre, Hervé Guyomard, Vincent Réquillart et Louis-Georges Soler
sous la direction de Hervé Guyomard et Cécile Détang-Dessendre, 2020
Bruno Jullien et Wilfried Sand-Zantman
décembre 2020
Jérôme Bolte et Edouard Pauwels
sous la direction de Hugo Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan et H. Lin, vol. 33, 2020
Automatic differentiation, as implemented today, does not have a simple mathematical model adapted to the needs of modern machine learning. In this work we articulate the relationships between differentiation of programs as implemented in practice, and differentiation of nonsmooth functions. To...
Boris Van Leeuwen, Paul Smeets, Jeanne Bovet, Gideon Nave, Jonathan Stieglitz et Andrew Whitehouse
vol. 287, n° 1941, décembre 2020
Economic preferences may be shaped by exposure to sex hormones around birth. Prior studies of economic preferences and numerous other phenotypic characteristics use digit ratios (2D : 4D), a purported proxy for prenatal testosterone exposure, whose validity has recently been questioned. We use...
Laurent Miclo
vol. 25, 2020, p. 1–64
Markov intertwining is an important tool in stochastic processes: it enables to prove equalities in law, to assess convergence to equilibrium in a probabilistic way, to relate apparently distinct random models or to make links with wave equations, see Carmona, Petit and Yor [8], Aldous and Diaconis...
Eliana Barrenho, Eric Gautier, Marisa Miraldo, Carol Propper et Christiern Rose
n° 15515, décembre 2020
We examine the effect of a physician network on medical innovation using novel matched patient-physician-hospital panel data. The data include every relevant physician and all patients in the English NHS for 15 years and physicians’ workplace histories for more than 20. The dynamic network arising...
Jonathan Stieglitz, Paul L. Hooper, Benjamin C. Trumble, Hillard Kaplan et Michael Gurven
vol. 9, n° e62883, décembre 2020
In comparative cross-species perspective, humans experience unique physical impairments with potentially large consequences. Quantifying the burden of impairment in subsistence populations is critical for understanding selection pressures underlying strategies that minimize risk of production...
