Author
Listed:
- Qinying He
- Lin Xu
- Yao Men
Abstract
The purpose of this article is to decompose the composition effect and wage structure effect of the gender starting pay gap in Chinese university graduates at every quantile. The article aims to determine if the pay gap at every quantile is a result of gender characteristics difference, or the differences in returns to those characteristics. A 2007 Chinese university survey of new graduates employment and capacity conducted by an education research company MyCOS institute is used. This article exploits a counterfactual decomposition analysis using quantile regression to decompose the gender pay gap into one component that is based on differences in characteristics and one component that is based on differences in coefficients across the log wage distribution. We find that the majority of the gender pay differential is attributed to the gender difference in the endowment of human capital and the composition effect explains 30–60% of the pay difference at each quantile of the log wage distribution. It means that female graduates have almost the same rewards to characteristics as their male counterparts, especially at the bottom of the log wage distribution. We also find that female graduates have lower mean work capacity than male graduates and work capacity is positively related with wage. This article provides policy implications on how to reduce the gender pay gap after higher education reform in a transition economy.
Suggested Citation
Qinying He & Lin Xu & Yao Men, 2020.
"Composition effect matters: Decomposing the gender pay gap in Chinese university graduates,"
Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 33(1), pages 847-864, January.
Handle:
RePEc:taf:reroxx:v:33:y:2020:i:1:p:847-864
DOI: 10.1080/1331677X.2020.1734850
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:reroxx:v:33:y:2020:i:1:p:847-864. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rero .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.