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High wage workers and low wage firms : negative assortative matching or statistical artefact?

机译:高薪工人和低工资企业:负面配对或统计人工制品?

摘要

In the empirical literature on the estimation of firm and worker heterogeneity using linked employer-employee data, unobserved worker quality appears to be negatively correlated with unobserved firm quality. We investigate the possibility that this is simply caused by standard estimation error and develop formulae that show that the estimated correlation is biased downwards if there is true positive assortative matching and when any conditioning covariates are uncorrelated with the firm and worker fixed effects. This result applies to any two-way (or higher) error-components model estimated by fixed-effects methods. We apply these bias corrections to a large German linked employer-employee dataset. We find that although the biases can be considerable, they are not sufficiently large to remove the negative correlation entirely.
机译:在使用链接的雇主-雇员数据估算公司和工人异质性的经验文献中,未观察到的工人质量似乎与未观察到的公司质量负相关。我们调查了这可能仅是由标准估计误差引起的可能性,并开发了一些公式,这些公式表明,如果存在真正的正分类匹配,并且当任何条件协变量与企业和工人固定效应不相关时,估计的相关性就会向下偏移。此结果适用于通过固定效应方法估计的任何双向(或更高)误差分量模型。我们将这些偏差校正应用于大型的德国链接的雇主-雇员数据集。我们发现,尽管偏差可能很大,但它们不足以完全消除负相关。

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