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来源类型Working Paper
规范类型报告
DOI10.3386/w28165
来源IDWorking Paper 28165
Estimating Preferences for Neighborhood Amenities Under Imperfect Information
Fernando V. Ferreira; Maisy Wong
发表日期2020-12-07
出版年2020
语种英语
摘要This paper presents a new framework to estimate preferences for neighborhoods in the presence of individual imperfect information about every amenity in each neighborhood. We estimate the model with data from a new neighborhood choice program that provided information about market rents and same-school network, and collected neighborhood rankings for the same individual before and after receiving information. We find that switchers - who change rankings after the information intervention - increase network shares by 1.46 percentage points and decrease rents by $430. This variation from the panel data of individual rankings is critical to produce a latent quality index that addresses biases arising from imperfect information. Estimates from the neighborhood sorting model reveal a strong negative marginal utility of rents, and a positive marginal willingness to pay of $123 per month to live in a neighborhood with a larger network. Finally, information also influenced residential choices after graduation.
主题Econometrics ; Estimation Methods ; Labor Economics ; Unemployment and Immigration ; Regional and Urban Economics
URLhttps://www.nber.org/papers/w28165
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/585839
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GB/T 7714
Fernando V. Ferreira,Maisy Wong. Estimating Preferences for Neighborhood Amenities Under Imperfect Information. 2020.
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