Alternative Nested Logit Model Structures and the Special Case of Partial Degeneracy
研究了部分退化嵌套Logit模型的概念与计量问题，包括识别、缩放、不变性及与效用最大化假设的一致性，适用于区域科学中的离散选择分析。
Partially degenerate nested logit (NL) models have broad applicability in regional science. However, the literature on them is relatively sparse and confusion exists on some aspects of identification and related matters. This paper addresses a number of conceptual and econometric aspects of partially degenerate NL models. These include identification, scaling, invariance, and consistency with the utility‐maximizing postulate that underlies discrete choiceanalysis. This is accomplished within the larger, encompassing framework of nondegenerate NL models of which the partially degenerate model is a special case.