最低工资与就业:重新考虑使用时间序列方法作为评估工具

Wang-Sheng Lee, Sandy Suardi
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引用次数: 17

摘要

最低工资文献中使用的时间序列方法基本上旨在估计提高最低工资的治疗效果。在本文中,我们采用了一种基于总时间序列数据的新方法,使我们能够确定最低工资变化是否对就业产生重大影响。这涉及使用结构断裂测试作为识别数据中可能代表处理效果的不连续性的装置。在一项基于澳大利亚数据的申请中,初步结论是,澳大利亚1997年引入最低工资立法以及随后的最低工资增长似乎没有对青少年的就业产生任何显著的负面影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Minimum Wages and Employment: Reconsidering the Use of a Time Series Approach as an Evaluation Tool
The time-series approach used in the minimum wage literature essentially aims to estimate a treatment effect of increasing the minimum wage. In this paper, we employ a novel approach based on aggregate time-series data that allows us to determine if minimum wage changes have significant effects on employment. This involves the use of tests for structural breaks as a device for identifying discontinuities in the data which potentially represent treatment effects. In an application based on Australian data, the tentative conclusion is that the introduction of minimum wage legislation in Australia in 1997 and subsequent minimum wage increases appear not to have had any significant negative employment effects for teenagers.
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