Career Progression and Comparative Advantage

Shintaro Yamaguchi
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引用次数: 25

Abstract

This paper constructs and estimates a structural dynamic model of occupational choice in which all occupations are characterized in a skill requirement space using data from the Dictionary of Occupational Titles and the NLSY79. This skill requirement space approach has its merit in computational simplicity as well as ease of interpretation: it allows the model to include hundreds of occupations at the three-digit census classification level without a large number of parameters. Parameter estimates indicate that wages grow with the skill requirements of an occupation and that educated and experienced individuals are better rewarded in a cognitive and interpersonal skill demanding occupation. They also suggest that ignoring self-selection into occupations and individual heterogeneity may result in counter-intuitive and biased estimates of the returns to skill requirements.
职业发展与比较优势
本文利用职业名称词典和NLSY79的数据,构建并估计了一个职业选择的结构动态模型,其中所有职业都在技能需求空间中表征。这种技能需求空间方法在计算简单和易于解释方面有其优点:它允许模型在没有大量参数的情况下,在三位数的人口普查分类水平上包括数百个职业。参数估计表明,工资随着职业的技能要求而增长,受过教育和有经验的个人在要求认知和人际交往技能的职业中得到更好的回报。他们还指出,忽视职业的自我选择和个体异质性可能会导致对技能要求回报的反直觉和有偏见的估计。
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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