技术变革与熟练劳动力的工资溢价:来自经济转型的证据

IF 1 4区 经济学 Q3 ECONOMICS Economics of Transition and Institutional Change Pub Date : 2022-04-25 DOI:10.1111/ecot.12330
Sergey Alexeev
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引用次数: 0

摘要

我提供了形式和结构上的证据,证明后过渡时期俄罗斯经济的重组增加了对法律和商业毕业生的需求。这种需求冲击为俄罗斯1985-2015年的工资结构提供了一个新颖的统一解释。然后我展示了这种冲击是所有转型经济体的共同特征,它促成了转型衰退。需求行为与一种新的技能偏好技术变化模型相一致,该模型是对三种生产投入(高中毕业生和两个专业的学士学位教育)的技能需求的,表明有利于特定技能的技术转变可能出现在技能群体中,而不是在技能和非技能之间。这是相关的,因为今天在采用新的通用技术(例如机器学习)的前沿经济体中出现了类似的转变(例如,数据科学家与文科)。因此,本文为今天的政策制定者提供了应对这种采用可能导致的经济平等和绩效下降的工具。最后,由于过渡机制与2022年阻止俄罗斯战争努力的制裁机制相似,我的研究结果强调了对教育系统实施额外制裁的重要性,以防止该政权的结构调整和维护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Technical change and wage premiums amongst skilled labour: Evidence from the economic transition

I present reduced-form and structural evidence that the reorganization of the Russian economy in the post-transitional period increased the demand on law and business graduates. This demand shock provides a novel unified explanation of the Russian wage structure for 1985–2015. I then show that this shock is a common feature of all transitional economies, and it contributed to the transformational recession. The demand behaviour is identified with a new skill-biased technical change model of demand for skills with three production inputs (high school graduates and bachelor-level educations with two majors), showing that a technology shift that favours a particular skill might emerge within the skilled group rather than between skilled and unskilled. This is relevant because similar shifts (e.g., data scientists vs. liberal arts) emerge today in the frontier economies that adopt new general-purpose technologies (e.g., machine learning). Thus, this paper informs policymakers today on tools to counteract a potential drop in economic equality and performance that result from this adoption. Lastly, because of similarities between the mechanics of the transition and the 2022 sanctions to discourage Russia's war effort, my results highlight the importance of additional sanctions against the education system to prevent the regime's structural adaptation and preservation.

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来源期刊
CiteScore
1.70
自引率
11.10%
发文量
32
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