Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/87266
Title: Returns to schooling for urban and migrant workers in China: a detailed investigation
Authors: Sakellariou, Christos
Fang, Zheng
Keywords: Returns to Schooling
Instrumental Variables
Issue Date: 2015
Source: Sakellariou, C., & Fang, Z. (2015). Returns to schooling for urban and migrant workers in China: a detailed investigation. Applied Economics, 48(8), 684-700.
Series/Report no.: Applied Economics
Abstract: We use a new data set, the 2009 Rural Urban Migration in China (RUMiC) to estimate returns to schooling in China using instrumental variable (IV) estimation. After identifying a set of instruments, we conduct comprehensive validity and relevance testing of different combinations of instruments as well as robustness analysis of our estimates for rural-to-urban migrants and urban residents in China. We find that our point estimates are in the 6–9% range for urban workers compared to 7–8% for migrant workers. Returns for men (at 8–9%) are slightly higher than for women (at 6–7%). Thus, private returns to education in urban China in 2009 were not as high as other transition and developing countries, but substantial and have increased over time. Comparing OLS and IV estimates, we also find that the attenuation bias due to measurement error is generally large and more important in the migrant sample compared to the urban sample.
URI: https://hdl.handle.net/10356/87266
http://hdl.handle.net/10220/44360
ISSN: 0003-6846
DOI: 10.1080/00036846.2015.1085642
Rights: © 2015 Taylor & Francis. This is the author created version of a work that has been peer reviewed and accepted for publication by Applied Economics, Taylor & Francis. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1080/00036846.2015.1085642].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:HSS Journal Articles

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