• DocumentCode
    3324921
  • Title

    Research on the evolvement mechanism of industry wage differential —empirical analysis based on sample investigation

  • Author

    Lv Kang-yin ; Wang Wen-jing ; Xiao Chun-ping

  • Author_Institution
    Sch. of Bus., Northeast Normal Univ., Changchun
  • fYear
    2008
  • fDate
    10-12 Sept. 2008
  • Firstpage
    835
  • Lastpage
    841
  • Abstract
    Using data from macro statistics and micro survey, the authors validate and estimate the industry wage differential by calculating Theil index, coefficient of variance. Industries are classified to monopoly and non-monopoly ones according to the degree of monopoly. Wage equations are estimated respectively to examine the contribution of individual traits to income. Then the unemployment risks are analyzed comparatively in ways of logistic regression. Itpsilas found that rate of return to education in monopoly industry is higher. Finally wage differential in monopoly and non-monopoly industries are decomposed by Oaxaca-Blinder method, which indicates 48.37% of the industry wage differential between monopoly and non-monopoly industries can be explained by individual characters, 51.63% unexplained. That means industrial discrimination exists. It comes to the conclusion that the solution of monopoly segmentation in labor market is the key to reducing industry wage differential.
  • Keywords
    monopoly; salaries; statistical analysis; Oaxaca-Blinder method; Theil index; empirical analysis; industry wage differential; macro statistics; micro survey; monopoly; nonmonopoly; wage equations; Analysis of variance; Conference management; Data engineering; Engineering management; Equations; Monopoly; Remuneration; Risk analysis; Statistical analysis; Unemployment; Oaxaca-blinder decomposition; industry segmentation; industry wage differential; monopoly;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering, 2008. ICMSE 2008. 15th Annual Conference Proceedings., International Conference on
  • Conference_Location
    Long Beach, CA
  • Print_ISBN
    978-1-4244-2387-3
  • Electronic_ISBN
    978-1-4244-2388-0
  • Type

    conf

  • DOI
    10.1109/ICMSE.2008.4669009
  • Filename
    4669009