The Influencing Factors of Labor Force Wages in China-Based on Empirical Analysis of Mincer Wage Equation

DOI

10.2991/hssmee-18.2018.13How to use a DOI?

Keywords

Mincer Wage Equation, CFPS, empirical analysis, OLS method.

Abstract

Based on the extended Mincer Wage Equation, the thesis uses OLS method to conduct concrete regression analysis of the factors influencing wages. It also uses the data from the follow-up survey report carried out by China Family Panel Studies (CFPS) in 2014. The estimated results suggest that compared with other academic levels, junior college education or above has a much greater effect on salary income. In addition, gender discrimination still extremely exists in various regions. Household registration discrimination is mainly concentrated in eastern region. The member of Communist Party of China does not have a significant impact on salary income.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuyang Zhu
PY  - 2018/09
DA  - 2018/09
TI  - The Influencing Factors of Labor Force Wages in China-Based on Empirical Analysis of Mincer Wage Equation
BT  - Proceedings of the 2018 International Symposium on Humanities and Social Sciences, Management and Education Engineering (HSSMEE 2018)
PB  - Atlantis Press
SP  - 75
EP  - 84
SN  - 2352-5398
UR  - https://doi.org/10.2991/hssmee-18.2018.13
DO  - 10.2991/hssmee-18.2018.13
ID  - Zhu2018/09
ER  -