Regression modelDiscrete choice
混合Logit模型
混合Logit模型由McFadden和Train (2000) 正式引入，并由Train (2009) 详细阐述，是一个灵活的离散选择框架，允许偏好参数在决策者之间随机变化。通过对系数的混合分布进行标准Logit概率积分，它克服了无关选项独立性（IIA）的严格限制，并能解释未观测到的品味异质性、面板数据相关性以及选项之间复杂的替代模式。
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来源
- Train, K. E. (2009). Discrete Choice Methods with Simulation (2nd ed.). Cambridge University Press. ISBN: 978-0-521-74738-7
- McFadden, D., & Train, K. (2000). Mixed MNL models for discrete response. Journal of Applied Econometrics, 15(5), 447–470. DOI: 10.1002/1099-1255(200009/10)15:5<447::AID-JAE570>3.0.CO;2-1 ↗
如何引用本页
ScholarGate. (2026, June 2). Mixed (Random-Parameters) Logit Model. ScholarGate. https://scholargate.app/zh/econometrics/mixed-logit
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