工作时间两极分化?

António Dias da Silva, Filippos Petroulakis, A. Laws
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引用次数: 3

摘要

我们调查了每个工人的工作时间和就业两极分化之间的关系。我们的核心问题是,每个工人的工作时间是否与之前观察到的就业两极分化模式相同,无论是用头还是用总工作时间来衡量。使用Acemoglu和Autor(2011)的职业任务指数测量,我们发现常规体力工作的每个工人的工作时间相对下降很大-恰恰是受常规偏于技术变革的就业两极分化影响最大的职业。我们还发现,非常规认知分析类工作的人均工时下降幅度较小,而这类工作正因两极分化而不断增长。与此同时,每个工人的工作时间比非常规体力职业的下降幅度要大得多。我们发现,体力工作(常规体力和非常规体力体力)的人均工作时间下降得更多,而不是两极分化的模式。这些模式在不同年龄、性别和教育程度的群体中都可以观察到,几乎没有例外,强度也没有变化。人均工作时间的下降主要发生在行业内。使用职业工资排名而不是职业任务指数,每个工人工时的下降与工资单调相关。研究结果是针对欧洲国家的,使用美国的数据没有发现同样的模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hours of Work Polarisation?
We investigate the relationship between hours per worker and employment polarisation. Our core question is whether hours per worker follow the same polarisation patterns as previously observed for employment, measured by either heads or total hours. Using the occupational task index measures of Acemoglu and Autor (2011), we find large relative declines in hours per worker in routine manual jobs – precisely the occupations most negatively affected by employment polarisation from routine-biased technical change. We also find a lower relative decline in hours per worker for non-routine cognitive analytical jobs, which are growing through polarisation. At the same time, hours per worker declined significantly more than the trend for non-routine manual physical occupations. Instead of a polarisation pattern, we find that hours per worker have been declining more in manual jobs (routine manual and non-routine manual physical). These patterns are observed across age, gender and education groups, with few exceptions and changes in intensity. The decline in hours per worker occurred mostly within sectors. Using a wage ranking of occupations instead of occupational task indices, the decline in hours per worker is monotonically related to wages. The results are specific to the European countries and the same patterns are not found using data for the United States.
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