IDEAS home Printed from https://ideas.repec.org/a/taf/wjabxx/v20y2019i3p376-391.html
   My bibliography  Save this article

The Exporter Wage Premium Hypothesis: An Unconditional Quantile Regression and Decomposition Approach

Author

Listed:
  • Charles Godfred Ackah
  • Richard Osei Bofah

Abstract

Relying on the World Bank Enterprise Survey dataset in 2012/13, this paper applies the unconditional quantile regression and decomposition estimation techniques to examine the hypothesis that workers in exporting firms receive higher wages than those in non-exporting firms. The results show that the relationship between export and firm’s wage bill is indirect and is transmitted through technology and firm size. Remarkably, these indirect relationships are much more pronounced at the more upper quantiles of the wage bill distribution. However, the net relationships of the interaction between export and technology are relatively larger and positive as compared to that of the interaction between export and firm size which are marginal and mixed. The decomposition analysis indicates that much of the present exporter wage premiums are largely due to the differences in the returns to the characteristics between exporting and non-exporting firms. The findings from this paper suggest directions for future work that can be directly useful for policy.

Suggested Citation

  • Charles Godfred Ackah & Richard Osei Bofah, 2019. "The Exporter Wage Premium Hypothesis: An Unconditional Quantile Regression and Decomposition Approach," Journal of African Business, Taylor & Francis Journals, vol. 20(3), pages 376-391, July.
    • Handle: RePEc:taf:wjabxx:v:20:y:2019:i:3:p:376-391
    DOI: 10.1080/15228916.2019.1582265
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/15228916.2019.1582265
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/15228916.2019.1582265?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    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:taf:wjabxx:v:20:y:2019:i:3:p:376-391. 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/wjab20 .

    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.