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Milo Bianchi, and Jean-Marc Tallon

vol. 65, n. 4, April 2019, pp. 1486–1501

We match administrative panel data on portfolio choices with survey data on preferences over ambiguity. We show that ambiguity averse investors bear more risk, due to a lack of diversification. In particular, they exhibit a form of home bias that leads to higher exposure to the domestic relative to...

Article

Marie Juanchich, Miroslav Sirota, and Jean-François Bonnefon

vol. 32, n. 2, April 2019, pp. 179–193

We extend research on charity donations by exploring an everyday tactic for increasing compliance: asking politely. We consider three possible effects of politeness on charity donations: a positive effect, a negative effect, and a wiggle‐room effect where the perception of the request is adjusted...

Article

Philippe Bontems

vol. 19, n. 2, April 2019

This paper examines theoretically whether by combining both output based refunding and abatement expenditures based refunding it is possible to limit the negative consequences that a pollution tax imply for a polluting industry. We show that this is indeed the case by using a three-part policy...

Article

Iyad Rahwan, Manuel Cebrian, Nick Obradovich, Josh Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, Nicholas Christakis, Iain Couzin, Matthew O. Jackson, Nicholas Jennings, Ece Kamar, Isabel Kloumann, Hugo Larochelle, Hugo Lazer, Richard McElreath, Alan Mislove, David Parkes, Alex Pentland, Margaret Roberts, Azim Shariff, Joshua Tenenbaum, and Michael Wellman

vol. 568, April 29, 2019, pp. 477–486

Machines powered by artificial intelligence increasingly mediate our social, cultural, economic and political interactions. Understanding the behaviour of artificial intelligence systems is essential to our ability to control their actions, reap their benefits and minimize their harms. Here we...

Article

Rodrigo Montes, Wilfried Sand-Zantman, and Tommaso M. Valletti

vol. 65, n. 3, March 2019, pp. 955–1453

This paper investigates the effects of price discrimination on prices, profits and consumer surplus, when one or more competing firms can use consumers' private information to price discriminate and consumers can pay a privacy cost to avoid it. While a monopolist always benefits from higher privacy...

Article

Christian Bontemps

vol. 101, n. 1, March 2019, pp. 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...

Article

Jean-François Bonnefon, Azim Shariff, and Iyad Rahwan

vol. 107, n. 3, March 2019, pp. 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...

Article

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...

Article

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...

Article

Daniel L. Chen

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...

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