An Empirical Model of Wage Dispersion with Sorting
An Empirical Model of Wage Dispersion with Sorting
复制标题
排序工资离散的实证模型
DOI：
10.3386/w20031
复制
发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Rasmus Lentz
中科院分区：
文献类型：
--
作者：
Jesper Bagger;Rasmus Lentz
本文研究了一个具有内生搜索强度的均衡求职模型中的工资分散问题。工人的永久技能水平不同，企业的生产率也不同。如果匹配产生函数是超模（次模），则排序结果为正（负）。该模型是根据丹麦匹配的雇主-雇员数据估计的。我们发现了正分类匹配的证据。在估计的均衡匹配分布中，工人技能与企业生产率的相关系数为0.12。分类匹配对工资分散有实质性影响。我们将工资变化分解为四个来源：工人异质性、企业异质性、摩擦和分类。员工异质性贡献了51%的差异，公司异质性贡献了11%，摩擦贡献了23%，最后排序贡献了15%。我们通过询问如果估计的匹配总体是完全正组合的，输出会增加多少来衡量不匹配造成的输出损失。在这种情况下，产出将增长7.7%。
This paper studies wage dispersion in an equilibrium on-the-job-search model with endogenous search intensity. Workers differ in their permanent skill level and firms differ with respect to productivity. Positive (negative) sorting results if the match production function is supermodular (submodular). The model is estimated on Danish matched employer-employee data. We find evidence of positive assortative matching. In the estimated equilibrium match distribution, the correlation between worker skill and firm productivity is 0.12. The assortative matching has a substantial impact on wage dispersion. We decompose wage variation into four sources: Worker heterogeneity, firm heterogeneity, frictions, and sorting. Worker heterogeneity contributes 51% of the variation, firm heterogeneity contributes 11%, frictions 23%, and finally sorting contributes 15%. We measure the output loss due to mismatch by asking how much greater output would be if the estimated population of matches were perfectly positively assorted. In this case, output would increase by 7.7%.