自动化和受过教育的工人就业不足

Hideki Nakamura
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引用次数: 1

摘要

本研究探讨了高、低技能劳动任务的自动化如何影响教育投资和高、低技能劳动任务工人的求职。我们考虑了工人通过接受教育获得自己的一套适合和不适合的高技能劳动任务的工人工作不匹配的概率。在理性的期望下,他们接受教育。我们表明,由于高技能任务自动化程度的提高,受过教育的工人的工作不匹配概率分布是多种多样的,即使在相同的能力群体中也是如此,同时保留了他们的工作不匹配概率的平均值。我们还表明,一些受过教育的工人寻求低技能任务,因为他们获得高技能任务的可能性很低;这样的就业不足可以使失业率保持在较低水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automation and the Underemployment of Educated Workers
This study investigates how the automation of high- and low-skilled labor tasks affects educational investment and the job seeking of workers for either high- or low-skilled labor tasks. We consider the probabilities of worker job mismatch where workers obtain their own set of suitable and unsuitable high-skilled labor tasks by receiving education. Under a rational expectation, they receive education. We show that as a consequence of the increased automation of high-skilled tasks, the distribution of job mismatch probabilities of educated workers is diverse, even among the same ability group, while preserving the mean of their job mismatch probabilities. We also show that some educated workers seek low-skilled tasks because of their low probabilities of obtaining high-skilled tasks; such underemployment can keep the unemployment rate low.
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