| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w28165 |
| 来源ID | Working 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 |
| URL | https://www.nber.org/papers/w28165 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/585839 |
| 推荐引用方式 GB/T 7714 | Fernando V. Ferreira,Maisy Wong. Estimating Preferences for Neighborhood Amenities Under Imperfect Information. 2020. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w28165.pdf（606KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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