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The great reversal in the demand for skill and cognitive tasks

机译:技能和认知任务需求的巨大逆转

摘要

What explains the current low rate of employment in the US? While there has been substantial debate over this question in recent years, we believe that considerable added insight can be derived by focusing on changes in the labor market at the turn of the century. In particular, we argue that in about the year 2000, the demand for skill (or, more specifically, for cognitive tasks often associated with high educational skill) underwent a reversal. Many researchers have documented a strong, ongoing increase in the demand for skills in the decades leading up to 2000. In this paper, we document a decline in that demand in the years since 2000, even as the supply of high education workers continues to grow. We go on to show that, in response to this demand reversal, high-skilled workers have moved down the occupational ladder and have begun to perform jobs traditionally performed by lower-skilled workers. This de- skilling process, in turn, results in high-skilled workers pushing low-skilled workers even further down the occupational ladder and, to some degree, out of the labor force all together. In order to understand these patterns, we offer a simple extension to the standard skill biased technical change model that views cognitive tasks as a stock rather than a flow. We show how such a model can explain the reversal in the data that we present, and offers a novel interpretation of the current employment situation in the US.
机译:是什么解释了当前美国低就业率?尽管近年来对此问题进行了广泛的辩论,但我们认为,通过关注世纪之交的劳动力市场变化,可以得出可观的补充见解。特别是,我们认为,在2000年左右,对技能(或更确切地说,通常与高学历相关的认知任务)的需求出现了逆转。许多研究人员已经证明,直到2000年的几十年中,对技能的需求持续强劲增长。在本文中,我们记录了自2000年以来,即使在高等教育工作者的供应持续增长的情况下,对技能的需求也在下降。 。我们继续表明,为应对这种需求逆转,高技能工人已经走下职业阶梯,开始从事传统上由低技能工人担任的工作。反过来说,这种低技能过程会导致高技能的工人将低技能的工人推向职业阶梯,甚至在某种程度上完全脱离劳动力。为了理解这些模式,我们对标准技能有偏见的技术变革模型进行了简单扩展,该模型将认知任务视为一种储备而不是流程。我们将展示这种模型如何解释我们提供的数据中的逆转,并为美国当前的就业形势提供新颖的解释。

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