Comparer des méthodes

	Modèle d'utilité aléatoire	Équilibre d'Arrow-Debreu
Domaine	Théorie des jeux	Théorie des jeux
Famille	Machine learning	Machine learning
Année d'origine	1974	1954
Auteur d'origine	Daniel McFadden	Kenneth Arrow, Gerard Debreu
Type	algorithm	algorithm
Source fondatrice	McFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105-142). Academic Press.	Arrow, K. J., & Debreu, G. (1954). Existence of an equilibrium for competitive economies. Econometrica, 22(3), 265-290.
Alias	Discrete Choice Model, Probabilistic Choice, Stochastic Utility	Walrasian Equilibrium, General Equilibrium, Competitive Equilibrium
Apparentées	4	4
Résumé	The Random Utility Model explains discrete choice behavior by assuming agents derive uncertain utilities from alternatives and choose the option yielding highest utility. Introduced by Daniel McFadden in 1974, the model decomposes utility into systematic (observable) and random (idiosyncratic) components, permitting probabilistic choice predictions. The logit model, a parametric specification, yields closed-form choice probabilities that are widely used in marketing, transportation, and environmental valuation.	The Arrow-Debreu model is a general equilibrium framework where prices adjust to clear all markets simultaneously, and consumers and firms optimize given those prices. Introduced by Kenneth Arrow and Gerard Debreu in 1954, the model extends Adam Smith's invisible hand concept into a rigorous mathematical framework. Arrow-Debreu equilibrium proves existence, uniqueness (under certain conditions), and Pareto efficiency of competitive equilibria.