Recherche avancée

India Schneider-Crease, Aaron D. Blackwell, Thomas S. Kraft, Melissa Emery Thompson, Ivan Maldonado Suarez, Daniel Cummings, Jonathan Stieglitz, Noah Snyder-Mackler, Michael Gurven, Hillard Kaplan et Benjamin C. Trumble

vol. 9, n° 1, octobre 2021, p. 349–359

Ingela Alger

vol. 190, octobre 2021, p. 228–254

Since a man’s reproductive success depends on his ability to outcompete other men, male competitiveness may be expected to have been exposed to strong selective pressure throughout human history. Accordingly, the relatively low level of physical violence observed between men has been viewed as a...

Linqun Liu et Nicolas Treich

octobre 2021

This paper studies the role of risk attitudes in determining the optimality of winner-take-all contests. We compare the typical singlewinner lottery contest with two alternatives, both spreading the rewards to more players: through holding multiple prize-giving lottery competitions or through...

Koen Jochmans

n° 21-1276, 29 octobre 2021

This note looks at the properties of instrumental-variable estimators of models for non-negative outcomes in the presence of individual effects. We show that fixed-effect versions of the estimators of Mullahy (1997) and Windmeijer and Santos Silva (1997) are inconsistent under conventional...

Philippe De Donder et Marie-Louise Leroux

septembre 2021

We study the demand for actuarially fair Long Term Care (LTC hereafter) insurance in a setting where autonomous agents only care for daily life consumption while dependent agents also care for LTC expenditures. We assume that dependency decreases the marginal utility of daily life consumption. We...

Stephanie Assad, Emilio Calvano, Giacomo Calzolari, Robert Clark, Daniel Ershov, Justin Johnson, Sergio Pastorello, Andrew Rhodes, Lei XU, Matthijs Wildenbeest et Vincenzo Denicolò

vol. 37, n° 3, septembre 2021, p. 459–478

Markets are being populated with new generations of pricing algorithms, powered with Artificial Intelligence, that have the ability to autonomously learn to operate. This ability can be both a source of efficiency and cause of concern for the risk that algorithms autonomously and tacitly learn to...

Frédéric Cherbonnier

n° 21-123, septembre 2021

We examine the provision of insurance against non-observable liquidity shocks for time-inconsistent agents who can privately store resources. When lack of self-control is strong enough, optimal contracts are similar to individual nancial accounts with remunerated savings and costly borrowing. The...

Frédéric Cherbonnier

n° 21-1256, septembre 2021

We examine the provision of insurance against non-observable liquidity shocks for time-inconsistent agents who can privately store resources. When lack of self-control is strong enough, optimal contracts are similar to individual nancial accounts with remunerated savings and costly borrowing. The...

Jérôme Bolte, Lilian Glaudin, Edouard Pauwels et Matthieu Serrurier

n° 21-1243, septembre 2021

We present a new algorithm to solve min-max or min-min problems out of the convex world. We use rigidity assumptions, ubiquitous in learning, making our method applicable to many optimization problems. Our approach takes advantage of hidden regularity properties and allows us to devise a simple...

Claude Crampes et Yassine Lefouili

n° 15, septembre 2021, p. 37–41

Cet article examine les arbitrages associés à la numérisation du secteur de l'énergie. Nous présentons les bons et mauvais côtés de la numérisation, en insistant sur son caractère énergivore, et étudions dans quelle mesure elle peut contribuer à rendre les systèmes énergétiques efficients et...