A Nested Logit Approach to Household Mobility
利用1990年美国人口普查数据，构建嵌套Logit模型分析家庭在都市区内和跨都市区迁移时，个人特征与目的地（中心城市或郊区）特征如何影响迁移决策，并计算了多种区位属性的弹性。
This study analyzes personal and site characteristics in a model of intraMSA and interMSA mobility. Households are assumed to choose a single type of move, intraMSA or interMSA, while simultaneously choosing a central city or suburban destination. We demonstrate that a nested logit model is appropriate on both theoretical and empirical grounds. The sample consists of intrametropolitan and intermetropolitan movers drawn from the 1990 U.S. Census PUMS. Personal characteristics drawn from the PUMS are matched to numerous site characteristics (climatic measures, other amenities, state and local fiscal characteristics, and other urban quality measures) drawn from a variety of sources. Nested logit direct and cross elasticities are presented for a number of site attributes.