IDEAS home Printed from https://ideas.repec.org/a/fec/journl/v12y2017i4p515-544.html
   My bibliography  Save this article

Examining the Factors Affecting Personal Income: An Empirical Study Based on Survey Data in Chinese Cities

Author

Listed:
  • Lihui Wang

    (Graduate School of Economics, Kobe University, Nada, Kobe 657-8501, Japan)

  • Junyi Shen

    (Research Institute for Economics and Business Administration, Kobe University, Nada, Kobe 657-8501, Japan)

Abstract

This paper empirically analyzes the factors affecting personal income in urban China using survey data of the ¡°Preference and Life Satisfaction Survey¡± conducted by the Global COE project of Osaka University from 2009 to 2013. We consider education level as an endogenous variable, and both ordinary least squares (OLS) regression and instrumental variable (IV) regression are performed. We find a number of factors, such as sex, age, education, and marriage that significantly affect personal income. In addition, differences between different occupations are also investigated.

Suggested Citation

  • Lihui Wang & Junyi Shen, 2017. "Examining the Factors Affecting Personal Income: An Empirical Study Based on Survey Data in Chinese Cities," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 12(4), pages 515-544, December.
  • Handle: RePEc:fec:journl:v:12:y:2017:i:4:p:515-544
    as

    Download full text from publisher

    File URL: http://journal.hep.com.cn/fec/EN/10.3868/s060-006-017-0022-0
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    personal income; earning function; urban China; discrimination;
    All these keywords.

    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    Statistics

    Access and download statistics

    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:fec:journl:v:12:y:2017:i:4:p:515-544. 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: Frank H. Liu (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.