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	यादृच्छिक उपयोगिता मॉडल (Random Utility Model)	एरो-डेब्रेयू संतुलन
क्षेत्र	खेल सिद्धांत	खेल सिद्धांत
परिवार	Machine learning	Machine learning
उद्भव वर्ष	1974	1954
प्रवर्तक	Daniel McFadden	Kenneth Arrow, Gerard Debreu
प्रकार	algorithm	algorithm
मौलिक स्रोत	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.
उपनाम	Discrete Choice Model, Probabilistic Choice, Stochastic Utility	Walrasian Equilibrium, General Equilibrium, Competitive Equilibrium
संबंधित	4	4
सारांश	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.