College of Economics and Management, Shenyang Agricultural University, Shenyang 110866, Liaoning, China.
College of Liberal Arts, Shanxi Agricultural University, Jinzhong 030801, Shanxi, China.
Int J Environ Res Public Health. 2019 Mar 20;16(6):1009. doi: 10.3390/ijerph16061009.
In recent years, migrant workers, defined as people who move from Chinese rural areas to cities in other parts of the country to find work, have experienced slowed wage growth. An important question that has emerged is whether depressive symptoms have a significant relationship with migrant worker wages. This paper uses a nationally representative panel dataset to examine the overall association of depressive symptoms and migrant worker wages in China and explores the indirect mechanisms through which these impacts occur. Using the Coarsened Exact Matching method, our results show that depressive symptoms have a significant direct negative relationship with migrant worker wages, and that this relationship is consistent. Furthermore, we also find that depressive symptoms can reduce migrant worker wages indirectly by increasing the frequency of job conversion or by shortening work duration.
近年来，农民工（指从中国农村地区到其他地区城市寻找工作的人）的工资增长放缓。出现的一个重要问题是，抑郁症状是否与农民工工资有显著关系。本文使用全国代表性的面板数据集，考察了抑郁症状与中国农民工工资的总体关系，并探讨了这些影响发生的间接机制。使用粗化精确匹配方法，我们的结果表明，抑郁症状与农民工工资有显著的直接负相关关系，且这种关系是一致的。此外，我们还发现，抑郁症状可以通过增加工作转换频率或缩短工作时间来间接地降低农民工工资。
