Labor Market Dynamics: A Model of Search and Human Capital Accumulation
Labor Market Dynamics: A Model of Search and Human Capital Accumulation
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劳动力市场动态：搜索和人力资本积累模型
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
G. Veramendi
中科院分区：
文献类型：
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作者：
G. Veramendi
通过对劳动力市场动态的新测量，我开发并估计了工人流动性的均衡搜索模型。我首先描述了丹麦跨失业法术工资动态的新事实。这意味着，企业搜索模型本身不能解释公司之间工人的所有观察到的运动。我构建了一个新的工人流动模型，该模型结合了搜索和人力资本的积累。该模型中的工人通过学习来积累技能，这使给定工作的回报降低了。必须晋升工人或在新公司找到工作，以便继续学习新技能。我表明，通过包括改变工作的动力，职业发展不仅有助于解释工资分散，而且有助于对劳动力市场动态的更全面了解。我在结构上使用丹麦匹配的雇主 - 雇员数据来估算漏洞搜索模型。估计表明，工作局部搜索模型不到数据中的工人移动性的10％。此外，工人异质性解释了大学毕业生的工资差异的65％，所有其他工人的工资差异约为45％。
Informed by new measurements of labor market dynamics, I develop and estimate an equilibrium search model of worker mobility. I first describe new facts about the dynamics of wages across unemployment spells in Denmark. This implies that the job-ladder search model cannot by itself explain all the observed movements of workers between firms. I construct a new model of worker mobility which combines search and human capital accumulation. Workers in the model accumulate skills via learning-by-doing which has decreasing returns for a given job. Workers must either be promoted or find a job at a new firm in order to continue learning new skills. I show that by including this incentive to change jobs, career development not only helps explain wage dispersion, but also contributes to a more complete understanding of labor market dynamics. I structurally estimate the job-ladder search model using matched employer-employee data from Denmark. The estimates show that the job-ladder search model explains less than 10% of the worker mobility seen in the data. In addition, worker heterogeneity explains about 65% of the wage variance for college graduates and about 45% for all other workers.
任期、经验、人力资本和工资：工资动态的易于处理的均衡搜索模型
影响因子：
10.7
作者：
Bagger J
通讯作者：
Bagger J