Estimating Semi-Parametric Panel Multinomial Choice Models Using Cyclic Monotonicity
利用循环单调性估计半参数面板多项选择模型
This paper proposes a new semi‐parametric identification and estimation approach to multinomial choice models in a panel data setting with individual fixed effects. Our approach is based on cyclic monotonicity, which is a defining convex‐analytic feature of the random utility framework underlying multinomial choice models. From the cyclic monotonicity property, we derive identifying inequalities without requiring any shape restrictions for the distribution of the random…