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Marianne Andries
n° 133, janvier 2019, p. 45–59
Être averse au risque, un biais psychologique bien connu, cela correspond à refuser toute loterie ayant des gains et des pertes égaux, et ayant les mêmes chances de se réaliser. Pour accepter une perte de 1 euro avec 50 % de chance, il faut nous offrir un gain plus important, par exemple 2 euros...
Jeffrey A. Friedman
vol. 63, n° 1, janvier 2019, p. 181–196
Why do Americans’ priorities for combating risks like terrorism, climate change, and violent crime often seem so uncorrelated with the dangers that those risks objectively present? Many scholars believe the answer to this question is that heuristics, biases, and ignorance cause voters to...
Alice Baniel, Axelle Delaunay, Guy Cowlishaw et Elise Huchard
vol. 6, n° 1, janvier 2019
Magdalena Monier, Sabine Noebel, Etienne Danchin et Guillaume Isabel
vol. 12, n° 334, janvier 2019
Sylvie Estrela, Eric Libby, Jeremy Van Cleve, Florence Débarre, Maxime Deforet, William Harcombe, Jorge Peña, Sam Brown et Michael E. Hochberg
vol. 34, n° 1, janvier 2019, p. 6–18
Organisms modify their environments in ways that can be beneficial or detrimental not only to themselves but also to others sharing the same environment. Such niche-constructing or niche-destroying activities are often due to the production or consumption of environmental factors, such as resources...
Francis Bloch, Philippe Gagnepain et Marc Ivaldi
sous la direction de J.C Prager, janvier 2019
Daniel L. Chen
2018
Daniel L. Chen et Arnaud Philippe
Bruno Biais, Christophe Bisière, Matthieu Bouvard, Catherine Casamatta et Albert J. Menkveld
n° 18-973, décembre 2018, révision novembre 2021
We offer an overlapping generations equilibrium model of cryptocurrency pricing and confront it to new data on bitcoin transactional benefits and costs. The model emphasizes that the fundamental value of the cryptocurrency is the stream of net transactional benefits it will provide, which depend on...
n° 18-974, décembre 2018
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...
