| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w28516 |
| 来源ID | Working Paper 28516 |
| Measuring Commuting and Economic Activity inside Cities with Cell Phone Records | |
| Gabriel E. Kreindler; Yuhei Miyauchi | |
| 发表日期 | 2021-03-01 |
| 出版年 | 2021 |
| 语种 | 英语 |
| 摘要 | We show how to use commuting flows to infer the spatial distribution of income within a city. A simple workplace choice model predicts a gravity equation for commuting flows whose destination fixed effects correspond to wages. We implement this method with cell phone transaction data from Dhaka and Colombo. Model-predicted income predicts separate income data, at the workplace and residential level, and by skill group. Unlike machine learning approaches, our method does not require training data, yet achieves comparable predictive power. We show that hartals (transportation strikes) in Dhaka reduce commuting more for high model-predicted wage and high-skill commuters. |
| 主题 | Econometrics ; Estimation Methods ; Macroeconomics ; Consumption and Investment ; Regional and Urban Economics ; Regional Economics |
| URL | https://www.nber.org/papers/w28516 |
| 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/586188 |
| 推荐引用方式 GB/T 7714 | Gabriel E. Kreindler,Yuhei Miyauchi. Measuring Commuting and Economic Activity inside Cities with Cell Phone Records. 2021. |
| 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 | ||
| w28516.pdf（5100KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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