Сравнение методов

	Модель случайной полезности	Равновесие Эрроу-Дебрё
Область	Теория игр	Теория игр
Семейство	Machine learning	Machine learning
Год появления	1974	1954
Автор метода	Daniel McFadden	Kenneth Arrow, Gerard Debreu
Тип	algorithm	algorithm
Основополагающий источник	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.
Другие названия	Discrete Choice Model, Probabilistic Choice, Stochastic Utility	Walrasian Equilibrium, General Equilibrium, Competitive Equilibrium
Связанные	4	4
Сводка	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.