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Jean-Pierre Amigues et Tunc Durmaz
vol. 24, n° 6, décembre 2019, p. 703–725
Daniel L. Chen
2019sous la direction de Michael Livermore et Daniel Rockmore, Santa Fe Institute Press, 2019
Predictive judicial analytics holds the promise of increasing the fairness of law. Much empirical work observes inconsistencies in judicial behavior. By predicting judicial decisions—with more or less accuracy depending on judicial attributes or case characteristics—machine learning offers an...
Christian Gouriéroux, Alain Monfort et Jean-Michel Zakoïan
vol. 87, n° 1, 2019, p. 327–345
In a transformation model , where the errors are i.i.d. and independent of the explanatory variables , the parameters can be estimated by a pseudo‐maximum likelihood (PML) method, that is, by using a misspecified distribution of the errors, but the PML estimator of is in general not consistent. We...
Pauline Gonnord, Megan Costa, M. Peres, Sébastien Gadat et S. Valitutti
vol. 8, n° 4, 2019
Jean Tirole et Mathias Dewatripont
décembre 2019
Do markets promote unethical behavior? This paper studies how the replacement logic impacts ethical behavior when suppliers are driven by both profit and ethical concerns. To this purpose, it proposes a unified model encompassing the three possible wedges between client and social demands:...
Ramteen Sioshansi (The Ohio State University)
Atria Mercure Compans Caffarelli, Toulouse, France, 2019
Richard Meade (Auckland University)
René Aïd (Université Paris Dauphine)
Alberto Salvo (National University of Singapore)
Carsten Helm (University of Oldenburg)
