方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 随机效用模型× | Arrow-Debreu均衡× | |
|---|---|---|
| 领域 | 博弈论 | 博弈论 |
| 方法族 | Machine learning | Machine learning |
| 起源年份≠ | 1974 | 1954 |
| 提出者≠ | Daniel McFadden | Kenneth Arrow, Gerard Debreu |
| 类型 | algorithm | algorithm |
| 开创性文献≠ | McFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105-142). Academic Press. link ↗ | Arrow, K. J., & Debreu, G. (1954). Existence of an equilibrium for competitive economies. Econometrica, 22(3), 265-290. DOI ↗ |
| 别名 | Discrete Choice Model, Probabilistic Choice, Stochastic Utility | Walrasian Equilibrium, General Equilibrium, Competitive Equilibrium |
| 相关 | 4 | 4 |
| 摘要≠ | 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. |
| ScholarGate数据集 ↗ |
|
|