Empirical Matching Functions: Estimation and Interpretation Using State-Level Data
用美国各州季度数据估计匹配函数，发现点估计略高于全国总流量数据，并分新员工来源估计，结果支持在职者内生求职和企业偏好雇佣在职者的假设，提醒解释匹配函数时需谨慎。
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. © 2000 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology