IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v54y2022i40p4608-4631.html

Trade, education, and income inequality

Author

Listed:
  • Markus Brueckner
  • Ngo Van Long
  • Joaquin Vespignani

Abstract

This paper examines the relationship between countries’ bilateral trade with the United States that is not due to gravity (non-gravity trade) and the distribution of income within countries. In countries where only a small share of the population are educated, an increase in non-gravity trade is associated with a significant increase in income inequality. As education of the population increases the correlation between non-gravity trade and income inequality becomes smaller. Non-gravity trade has no significant effect on income inequality in countries that are world leaders in education.

Suggested Citation

  • Markus Brueckner & Ngo Van Long & Joaquin Vespignani, 2022. "Trade, education, and income inequality," Applied Economics, Taylor & Francis Journals, vol. 54(40), pages 4608-4631, August.
  • Handle: RePEc:taf:applec:v:54:y:2022:i:40:p:4608-4631
    DOI: 10.1080/00036846.2022.2027862
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2022.2027862
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2022.2027862?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 look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. David Bounie & Youssouf Camara & John W. Galbraith, 2021. "Consumer Mobility, Online and On-site Commerce and the Geographic Concentration of Economic Activity: Evidence from 20 Billion Transactions," CIRANO Working Papers 2021s-17, CIRANO.
    2. Zhao, Xiyang & Yang, Xi & Tian, Jilin & Yan, Wenshou, 2025. "Does trade uncertainty matter for the composition of energy consumption?," International Review of Economics & Finance, Elsevier, vol. 102(C).

    More about this item

    JEL classification:

    • F10 - International Economics - - Trade - - - General
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)

    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:applec:v:54:y:2022:i:40:p:4608-4631. 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/RAEC20 .

    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.