不平衡增长:自动化对收入和财富不平等的影响

Benjamin Moll, Lukasz Rachel, P. Restrepo
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引用次数: 58

摘要

新技术的好处不仅体现在高技能劳动力身上,也体现在资本所有者获得更高的资本收入上。这加剧了不平等。为了证明这一点,我们发展了一种易于处理的理论,将技术与收入和财富的分配联系起来,而不仅仅是工资的分配,并用它来研究自动化的分配效应。我们孤立了一个新的理论机制:自动化通过提高财富回报来加剧不平等。这种回报流动的另一面是,自动化可能导致工资停滞,从而导致收入分配底部的收入停滞。我们使用多资产模型扩展来面对生产性资产和安全资产回报的不同经验趋势,并表明相关回报措施随着时间的推移而增加。自动化可以部分解释所观察到的收入和财富不平等趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uneven Growth: Automation’s Impact on Income and Wealth Inequality
The benefits of new technologies accrue not only to high‐skilled labor but also to owners of capital in the form of higher capital incomes. This increases inequality. To make this argument, we develop a tractable theory that links technology to the distribution of income and wealth—and not just that of wages—and use it to study the distributional effects of automation. We isolate a new theoretical mechanism: automation increases inequality by raising returns to wealth. The flip side of such return movements is that automation can lead to stagnant wages and, therefore, stagnant incomes at the bottom of the distribution. We use a multiasset model extension to confront differing empirical trends in returns to productive and safe assets and show that the relevant return measures have increased over time. Automation can account for part of the observed trends in income and wealth inequality.
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