Estimating the Gains from New Rail Transit Investment: A Machine Learning Tree Approach
收藏NBER2017-04-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w23326
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资源简介：
Urban rail transit investments are expensive and irreversible. Since people differ with respect to their demand for trips, their value of time, and the types of real estate they live in, such projects are likely to offer heterogeneous benefits to residents of a city. Using the opening of a major new
提供机构：
美国国家经济研究局
创建时间：
2017-04-01
