创业技术中的技能偏向变革

Markus Poschke
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引用次数: 5

摘要

与大量关于工人技能偏向的技术变革的文献相比,几乎没有任何关于技能对雇用这些工人的企业家的重要性的研究,特别是关于技能随时间演变的研究。本文提出了一个简单的创业技术技能偏向变化理论,该理论符合跨国、历史和微观证据。为此,它在一个标准的职业选择中引入了两个额外的特征,即la Lucas(1978)的异质企业模型:技术变革并不是对所有潜在的企业家都有平等的好处,个人在工作和创业中的潜在回报之间存在正相关关系。如果一些公司一直比其他公司从技术进步中受益更多,他们就会更接近前沿,而其他公司则会落后。因为所有工人的工资都会上涨,低生产率的企业家将在某个时候退出,成为工人。因此,创业率随人均收入的增加而下降,平均企业规模和企业规模分散随人均收入的增加而增加,“出于需要的创业”随人均收入的增加而下降。这篇论文还首次证明了两个事实,即这些正是跨国数据中普遍存在的关系。从数量上讲,这种模式很符合美国的经验。使用校准到美国的参数,该模型也很好地解释了跨国模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Skill-Biased Change in Entrepreneurial Technology
In contrast to the very large literature on skill-biased technical change among workers, there is hardly any work on the importance of skills for the entrepreneurs who employ those workers, and in particular on their evolution over time. This paper proposes a simple theory of skill-biased change in entrepreneurial technology that fits with cross-country, historical and micro evidence. For this, it introduces two additional features into an otherwise standard occupational choice, heterogeneous firm model a la Lucas (1978): technological change does not benefit all potential entrepreneurs equally, and there is a positive relationship between an individual's potential payoffs in working and in entrepreneurship. If some firms consistently benefit more from technological progress than others, they stay closer to the frontier, and the others fall behind. Because wages rise for all workers, low-productivity entrepreneurs will then at some point exit and become workers. As a consequence, the entrepreneurship rate falls with income per capita, average firm size and firm size dispersion increase with income per capita, and "entrepreneurship out of necessity" falls with income per capita. The paper also documents, for two of the facts for the first time, that these are exactly the relationships prevailing in cross-country data. Quantitatively, the model fits the U.S. experience well. Using the parameters from a calibration to the U.S., the model also explains cross-country patterns quite well.
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