| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w25171 |
| 来源ID | Working Paper 25171 |
| Unemployment and Development | |
| Ying Feng; David Lagakos; James E. Rauch | |
| 发表日期 | 2018-10-22 |
| 出版年 | 2018 |
| 语种 | 英语 |
| 摘要 | This paper draws on household survey data from countries of all income levels to measure how average unemployment rates vary with income per capita. We document that unemployment is increasing with GDP per capita. Furthermore, we show that this fact is accounted for almost entirely by low-educated workers, whose unemployment rates are strongly increasing in GDP per capita, rather than by high-educated workers, whose unemployment rates are not correlated with income. To interpret these facts, we build a model with workers of heterogeneous ability and two sectors: a traditional sector, in which self-employed workers produce output without reward for ability; and a modern sector, in which firms hire in frictional labor markets, and output increases with ability. Countries differ exogenously in the productivity level of the modern sector. The model predicts that as productivity rises, the traditional sector shrinks, as progressively less-able workers enter the modern sector, leading to a rise in overall unemployment and in the ratio of low-educated to high-educated unemployment rates. Quantitatively, the model accounts for around one third of the cross-country patterns we document. |
| 主题 | Macroeconomics ; Consumption and Investment ; Development and Growth ; Development ; Growth and Productivity |
| URL | https://www.nber.org/papers/w25171 |
| 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/582845 |
| 推荐引用方式 GB/T 7714 | Ying Feng,David Lagakos,James E. Rauch. Unemployment and Development. 2018. |
| 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 | ||
| w25171.pdf（521KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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