IDEAS home Printed from https://ideas.repec.org/a/udc/esteco/v45y2018i2p173-202.html
   My bibliography  Save this article

U-shaped wage curve and the Internet: The Colombian case

Author

Listed:
  • Diego A. Martin

Abstract

While there is a broad consensus in the literature that there is a positive corre-lation between Internet usage and labor income in the richest countries, this link has not been proven in the developing world. This paper uses propensity score matching techniques and household survey data to estimate the effect of the Internet on wages in Colombia, a country that has experienced a relatively rapid diffusion of information and communications technology in recent years. The empirical results confirm that there is a positive and statistically significant relationship between Internet use and income in this country. Consistent with evidence gathered on developed countries in previous studies, the empirical results also suggest that workers in the middle of the skill distribution receive the lowest wage premium for using the Internet. However, contrary to most evidence from developed countries, low-skilled workers in Colombia enjoy the highest wage premium from Internet use, which illustrates the potential for new technologies to address inequality gaps between occupations.

Suggested Citation

  • Diego A. Martin, 2018. "U-shaped wage curve and the Internet: The Colombian case," Estudios de Economia, University of Chile, Department of Economics, vol. 45(2), pages 173-202, December.
  • Handle: RePEc:udc:esteco:v:45:y:2018:i:2:p:173-202
    as

    Download full text from publisher

    File URL: https://estudiosdeeconomia.uchile.cl/index.php/EDE/article/view/51344/53730
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Propensity score matching; skills; wage differentials; internet; income distribution;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

    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:udc:esteco:v:45:y:2018:i:2:p:173-202. 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: VerĂ³nica Kunze (email available below). General contact details of provider: https://edirc.repec.org/data/deuclcl.html .

    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.