Nonparametric mixed logit model with market-level parameters estimated from market share data
利用市场份额数据估计市场层级参数的非参数混合 Logit 模型
We propose a nonparametric mixed logit model that is estimated using market-level choice share data. The model treats each market as an agent and represents taste heterogeneity through market-specific parameters by solving a multiagent inverse utility maximization problem, addressing the limitations of existing market-level choice models with parametric estimation. A simulation study is conducted to evaluate the performance of our model in terms of estimation time,…