| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w21778 |
| 来源ID | Working Paper 21778 |
| Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life | |
| Edward L. Glaeser; Scott Duke Kominers; Michael Luca; Nikhil Naik | |
| 发表日期 | 2015-12-07 |
| 出版年 | 2015 |
| 语种 | 英语 |
| 摘要 | New, “big” data sources allow measurement of city characteristics and outcome variables higher frequencies and finer geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big data has the most value for the study of cities when it allows measurement of the previously opaque, or when it can be coupled with exogenous shocks to people or place. We describe a number of new urban data sources and illustrate how they can be used to improve the study and function of cities. We first show how Google Street View images can be used to predict income in New York City, suggesting that similar image data can be used to map wealth and poverty in previously unmeasured areas of the developing world. We then discuss how survey techniques can be improved to better measure willingness to pay for urban amenities. Finally, we explain how Internet data is being used to improve the quality of city services. |
| 主题 | Econometrics ; Estimation Methods ; Data Collection ; Regional and Urban Economics ; Regional Economics |
| URL | https://www.nber.org/papers/w21778 |
| 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/579452 |
| 推荐引用方式 GB/T 7714 | Edward L. Glaeser,Scott Duke Kominers,Michael Luca,et al. Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life. 2015. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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