Jump to navigation
Daniel L. Chen
vol. 15, n. 1, March 2019
Legal theorists have suggested that literature stimulates empathy and affects moral judgment and decision-making. I present a model to formalize the potential effects of empathy on third parties. Empathy is modeled as having two components–sympathy (the decision-maker’s reference point about what...
Francesca De Petrillo, Martina Caroli, Emanuele Gori, Antonia Micucci, Serena Gastaldi, Sacha Bourgeois-Gironde, and Elsa Addessi
vol. 22, n. 2, March 2019, pp. 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...
Henrik Andersson, Arne Risa Hole, and Mikael Svensson
March 2019
Many public policies and individual actions have consequences for population health. To understand whether a (costly) policy undertaken to improve population health is a wise use of resources, analysts can use economic evaluation methods to assess the costs and benefits. To do this, it is necessary...
Ulrich Hege, and Pierre Mella-Barral
vol. 40, March 2019, pp. 77–119
This paper examines two prominent approaches to design efficient mechanisms for debt renegotiation with dispersed bondholders: debt exchange offers that promise enhanced liquidation rights to a restricted number of tendering bondholders (favored under U.S. law), and collective action clauses that...
Michael Albertus, and Victor Gay
vol. 31, n. 1, March 2019, pp. 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...
Nicolas Berman, Vincent Rebeyrol, and Vincent Vicard
vol. 101, n. 1, March 2019, pp. 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....
Tiziana Assenza, and D. Delli Gatti
vol. 29, n. 1, March 2019, pp. 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...
Christian Gollier
vol. 94, March 2019, pp. 54–66
vol. 27, n. 1, March 2019, pp. 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...
René Garcia, and Nour Meddahi
n. 133, March 2019, pp. 199–210
