Recherche avancée

Erica Doro et Vincent Réquillart

vol. 101, 2020, p. 117–146

Stéphan Marette et Vincent Réquillart

vol. 101, 2020, p. 5–22

This introductory article presents the three main challenges faced in economics to issues raised by dietary models. The first part of this paper examines the dietary models that maximise the health profile of a population under various constraints, including environmental and agronomic criteria....

François Causeret, Stéphane Cezera et J.M Rousselle

2020

Ce document s’adresse à toutes les personnes qui souhaitent comprendre ce qu’est l’Économie Expérimentale et les bénéfices que l'on peut retirer de cette approche pour des travaux empiriques dont la validité et la portée peuvent être évaluées au plan scientifique. De manière pratique sont décrites...

Benjamin Ouvrard, Jens Abildtrup et Anne Stenger

vol. 177, 2020, p. 106748

George-Marios Angeletos, Fabrice Collard et Harris Dellas

vol. 10, 2020, p. 3030–70

We propose a new strategy for dissecting the macroeconomic time series, provide a template for the propagation mechanism that best describes the observed business cycles, and use its properties to appraise models of both the parsimonious and the medium-scale variety. Our findings support the...

Giuseppe Marco Attanasi, Hippolyte D'Albis et Emmanuel Thibault

vol. 180, décembre 2020, p. 694–717

In a life-cycle model with a bequest motive, we study the impact of smooth ambiguity aversion to uncertain survival probabilities on the optimal demand for annuities. We implement a theory-driven laboratory experiment. First, a subject's ambiguity attitude is elicited in a simple experimental...

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...

Sébastien Gadat, Sebastien Gerchinovitz et Clément Marteau

vol. 26, n° 3, 2020, p. 1797–1831

We consider the binary supervised classification problem with the Gaussian functional model introduced in [7]. Taking advantage of the Gaussian structure, we design a natural plug-in classifier and derive a family of upper bounds on its worst-case excess risk over Sobolev spaces. These bounds are...

Koen Jochmans

n° 35, décembre 2020, p. 860–878

Céline Bonnet, Zohra Bouamra-Mechemache, Vincent Réquillart et Nicolas Treich

vol. 97, n° 101847, décembre 2020

Meat consumption has increased significantly in the last 50 years. This trend raises various health and environmental issues, as well as moral concerns regarding farm animal welfare. In this paper, we discuss the regulation of meat consumption in developed countries. Specifically, we discuss...