IDEAS home Printed from https://ideas.repec.org/a/uii/journl/v11y2019i1p1-7.html
   My bibliography  Save this article

On the nexus between exchange rate and income distribution in Turkey: ARDL bound testing analysis

Author

Listed:
  • Arif Eser Güzel
  • Ünal Arslan

Abstract

If we talk about the importance of variables in economic development, income distribution is not the second to economic growth, especially in emerging countries. These emerging countries are generally characterized by the volatility of exchange rates, especially after most of the countries adopted floating exchange rates system. This paper investigates the impact of an increases in dollar value on income distribution using annual data in the period 1990-2016 for Turkey via an ARDL model and bound testing analysis. In constructing the empirical model, it also considers the impact of GDP per capita on the dependent variable. Findings/Originality: The paper finds that an increase in dollar value leads to a more unequal income distribution in Turkey. The dollar holds an important place in Turkey’s foreign trade. Therefore, the changes in the value of dollar results in significant welfare effects.

Suggested Citation

  • Arif Eser Güzel & Ünal Arslan, 2019. "On the nexus between exchange rate and income distribution in Turkey: ARDL bound testing analysis," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 11(1), pages 1-7, April.
  • Handle: RePEc:uii:journl:v:11:y:2019:i:1:p:1-7
    DOI: 10.20885/ejem.vol11.iss1.art1
    as

    Download full text from publisher

    File URL: https://journal.uii.ac.id/JEP/article/download/10977/9025
    Download Restriction: no

    File URL: https://journal.uii.ac.id/JEP/article/view/10977/9025
    Download Restriction: no

    File URL: https://libkey.io/10.20885/ejem.vol11.iss1.art1?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
    ---><---

    Citations

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


    Cited by:

    1. Muhammad Muhitur Rahman & Syed Masiur Rahman & Md Shafiullah & Md Arif Hasan & Uneb Gazder & Abdullah Al Mamun & Umer Mansoor & Mohammad Tamim Kashifi & Omer Reshi & Md Arifuzzaman & Md Kamrul Islam &, 2022. "Energy Demand of the Road Transport Sector of Saudi Arabia—Application of a Causality-Based Machine Learning Model to Ensure Sustainable Environment," Sustainability, MDPI, vol. 14(23), pages 1-21, December.

    More about this item

    Keywords

    Exchange rate; Gini coefficient; Bound testing analysis;
    All these keywords.

    JEL classification:

    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • O24 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Trade Policy; Factor Movement; Foreign Exchange Policy

    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:uii:journl:v:11:y:2019:i:1:p:1-7. 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: Ana Yuliani (email available below). General contact details of provider: https://journal.uii.ac.id/JEP/ .

    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.