Recherche avancée

Nicolas Berman, Vincent Rebeyrol et Vincent Vicard

vol. 101, n° 1, mars 2019, p. 91–106

This paper provides direct evidence that learning about demand is an important driver of firms' dynamics. We present a model of Bayesian learning in which firms are uncertain about their idiosyncratic demand in each of the markets they serve, and update their beliefs as noisy information arrives....

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Christian Bontemps

vol. 101, n° 1, mars 2019, p. 146–159

This paper considers moment-based tests applied to estimated quantities. We propose a general class of transforms of moments to handle the parameter uncertainty problem. The construction requires only a linear correction that can be implemented in-sample and remains valid for some extended families...

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Michael Albertus et Victor Gay

vol. 31, n° 1, mars 2019, p. 71–96

This paper explores pathways that underlie the diffusion of women’s participation in the labor force across generations. I leverage a severe exogenous shock to the sex ratio, World War I in France, which generated an upward shift in female labor force participation after the war. This shock to...

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Luis Cabral et David Salant

vol. 176, mars 2019, p. 1–4

We consider the problem of a seller who owns K identical objects and N bidders each willing to buy at most one unit. The seller may auction the objects at two different dates. Assuming that buyer valuations are uniform and independent across periods, we show that the seller is better off by...

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Hélène Bourguignon, Renato Gomes et Jean Tirole

vol. 63, mars 2019, p. 99–144

The proliferation of new payment methods on the Internet rekindles the old and unsettled debate about merchants’ incentive and ability to differentiate price according to payment choice. This paper develops an imperfect-information framework for the analysis of platform and social regulation of...

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Francesca De Petrillo, Martina Caroli, Emanuele Gori, Antonia Micucci, Serena Gastaldi, Sacha Bourgeois-Gironde et Elsa Addessi

vol. 22, n° 2, mars 2019, p. 169–186

Money is a cultural artefact with a central role in human society. Here, we investigated whether some features of money may be traced back to the exchange habits of nonhuman animals, capitalizing on their ability to flexibly use tokens in dif-ferent domains. In Experiment 1, we evaluated whether...

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Tiziana Assenza et D. Delli Gatti

vol. 29, n° 1, mars 2019, p. 265–297

Employing the methodology described in Assenza and Delli Gatti 2013 (AD2013 hereafter), in the present paper we build a macro multi-agent model described by a IS schedule, a Taylor Rule (TR) and a Phillips curve (AS curve). At the micro level we consider a corporate sector populated by...

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Daniel L. Chen

vol. 27, n° 1, mars 2019, p. 15–42

Predictive judicial analytics holds the promise of increasing efficiency and fairness of law. Judicial analytics can assess extra-legal factors that influence decisions. Behavioral anomalies in judicial decision-making offer an intuitive understanding of feature relevance, which can then be used...

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Christian Gollier

vol. 94, mars 2019, p. 54–66

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Jean-François Bonnefon, Azim Shariff et Iyad Rahwan

vol. 107, n° 3, mars 2019, p. 502–504

Everyone agrees that autonomous cars ought to save lives. Even if the cars do not live up to the most optimistic estimates of eliminating 90% of traffic fatalities [1], eliminating at least some traffic fatalities is one of the key promises of automated driving. Indeed, the first two principles of...

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