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Open AccessArticle

Depressive Symptoms and Migrant Worker Wages: Estimation Based on a Nationally-Representative Panel Dataset

1
College of Economics and Management, Shenyang Agricultural University, Shenyang 110866, Liaoning, China
2
College of Liberal Arts, Shanxi Agricultural University, Jinzhong 030801, Shanxi, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2019, 16(6), 1009; https://doi.org/10.3390/ijerph16061009
Received: 1 February 2019 / Revised: 11 March 2019 / Accepted: 15 March 2019 / Published: 20 March 2019
(This article belongs to the Section Health Economics)
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. View Full-Text
Keywords: migrant workers; depressive symptoms; wage; working stability; Coarsened Exact Matching method migrant workers; depressive symptoms; wage; working stability; Coarsened Exact Matching method
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Huang, L.; Zhang, X.; Zhou, M.; Nuse, B.; Tong, L. Depressive Symptoms and Migrant Worker Wages: Estimation Based on a Nationally-Representative Panel Dataset. Int. J. Environ. Res. Public Health 2019, 16, 1009.

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