Empirical Matching Functions: Estimation and Interpretation Using State-Level Data
Empirical Matching Functions: Estimation and Interpretation Using State-Level Data
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DOI：
10.1162/003465300558669
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发表时间：
2000-02
影响因子：
8
通讯作者：
P. Anderson;S. Burgess
中科院分区：
文献类型：
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作者：
P. Anderson;S. Burgess
使用季度数据来估计州级匹配函数，我们获得的点估计值略高于国家总流量数据的点估计值，这可能是因为数据源的固有差异。我们还根据新员工的来源分别估计了匹配函数，结果表明，结果与就业者内生求职和企业对就业申请人的偏好的假设是一致的。因此，在解释经验匹配函数时必须小心，这可能是结构匹配函数和工作竞争模型的简化形式组合。
Using quarterly data to estimate state-level matching functions, we obtain point estimates that are slightly higher than are found with national gross flows data, likely because of inherent differences in the data sources. We also estimate matching functions separately by the source of the new hire, and show that the results are consistent with the assumptions of endogenous job search by the employed and a preference for employed applicants by firms. Thus, care must be taken in interpreting empirical matching functions, which are likely a reduced-form combination of a structural matching function and a job competition model.