IDEAS home Printed from https://ideas.repec.org/p/tob/wpaper/1303.html

Lower Volatility, Higher Inequality: Are They Related?

Author

Listed:
  • Ozan Eksi

Abstract

We investigate the relationship between GDP volatility and income inequality to explain the changes in both variables in the last decades of 20th century. The theoretical results show that these variables are related to the same parameters of the underlying income microdata. These results are supported by two empirical findings: (i) the simultaneity of the structural breaks in the GDP volatility and income inequality series across five industrialized countries; and (ii) the consistency of the results obtained from decomposing the US GDP volatility and income inequality data with those obtained from the US income microdata. The latter finding explains the diverging trends of the variables during the Great Moderation era. It also finds support for the argument that income inequality gives long-lasting responses to structural economic changes.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Ozan Eksi, 2013. "Lower Volatility, Higher Inequality: Are They Related?," Working Papers 1303, TOBB University of Economics and Technology, Department of Economics.
  • Handle: RePEc:tob:wpaper:1303
    as

    Download full text from publisher

    File URL: http://ikt.web.etu.edu.tr/RePEc/pdf/1303.pdf
    File Function: First version
    Download Restriction: no
    ---><---

    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. Ozan Eksi, 2023. "Traces of the past in income inequality," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(4), pages 815-834, December.
    2. Goodness C. Aye & Giray Gozgor & Rangan Gupta, 2020. "Dynamic and Asymmetric Response of Inequality to Income Volatility: The Case of the United Kingdom," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(3), pages 747-762, February.
    3. Chang, Shinhye & Gupta, Rangan & Miller, Stephen M. & Wohar, Mark E., 2019. "Growth volatility and inequality in the U.S.: A wavelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 48-73.

    More about this item

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    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:tob:wpaper:1303. 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: Ismail Saglam The email address of this maintainer does not seem to be valid anymore. Please ask Ismail Saglam to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/ibetutr.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.