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Are low-skill public sector workers really overpaid? A quasi-differenced panel data analysis

机译:低技能的公共部门工人真的被高薪了吗?准差分面板数据分析

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Public-private sectoral wage differentials have been studied extensively using quantile regression techniques. These typically find large public sector premiums at the bottom of the wage distribution. This may imply that low skill workers are 'overpaid', prompting concerns over efficiency. We note several other potential explanations for this result and explicitly test whether the premium varies with skill, using Australian data. We use a quasi-differenced Generalized Method of Moments (GMM) panel data model which has not been previously applied to this topic, internationally. Unlike other available methods, this technique identifies sectoral differences in returns to unobserved skill. It also facilitates a decomposition of the wage gap into components explained by differences in returns to all (observed and unobserved) skills and by differences in their stock. We find no evidence to suggest that the premium varies with skill. One interpretation is that the compressed wage profile of the public sector induces the best workers (on unobserved skills) to join the public sector in low wage occupations, vice versa in high wage occupations. We also estimate the average public sector premium to be 6% for women and statistically insignificant (4%) for men.
机译:使用分位数回归技术对公私部门的工资差异进行了广泛的研究。这些通常会在工资分配的底部找到较大的公共部门保费。这可能意味着低技能工人“薪水过高”,从而引发了对效率的担忧。我们会注意到此结果的其他几种可能的解释,并使用澳大利亚的数据明确检验保费是否随技能而变化。我们使用准差分的广义矩量法(GMM)面板数据模型,该模型以前在国际上尚未应用。与其他可用方法不同,此技术可以识别未观察到的技能回报的部门差异。这也有助于将工资差距分解为各个要素,这些要素由对所有(观察到的和未观察到的)技能的回报差异以及他们的库存差异解释。我们找不到证据表明溢价随技能而变化。一种解释是,公共部门工资水平的压缩促使(低水平技能的)最好的工人加入低收入职业的公共部门,反之亦然。我们还估计女性的平均公共部门保险费为6%,而男性的统计数字微不足道(4%)。

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