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来源类型Working Paper
规范类型报告
DOI10.3386/w25171
来源IDWorking 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
URLhttps://www.nber.org/papers/w25171
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/582845
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GB/T 7714
Ying Feng,David Lagakos,James E. Rauch. Unemployment and Development. 2018.
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