IDEAS home Printed from https://ideas.repec.org/a/auv/jipbud/v27y2022i2p153-173.html
   My bibliography  Save this article

The Effect of Income Inequality on the Probability of Banking Tensions in Iran (in Persian)

Author

Listed:
  • Abdi Seyyedkolaee, Mohammad

    (Department of Economics, University of Mazandaran, Babolsar, Iran)

  • Zaroki, Shahryar

    (Department of Economics, University of Mazandaran, Babolsar, Iran)

  • Ebrahimi Kelarijani, Kosar

    (Adib-Mazandaran Higher Education Institute, Sary, Iran.)

Abstract

Banking tension is one of the major problems in developed and developing countries nowadays. Therefore, researchers and policymakers pay decisive attention to the probability of banking tension. Meanwhile, the debate over the impact of income distribution on the banking sector and the occurrence of the banking crisis has escalated, so that in recent years, it seems that income inequality can be the cause of financial crises. Accordingly, the present study has designed a stress index for the banking system of Iran's economy. To study the effect of income inequality on the probability of banking tensions in Iran, quarterly data 1999:1-2020:4 and Markov rotational model were used. The results showed that the banking system in Iran's economy had been in a state of high tension for some periods. Finally, by estimating the Probit model, it was found that with the unequal distribution of income in Iran's economy, the probability of tension in the banking sector increases. In addition, inflation and real interest rate have a positive effect, and economic growth has a negative effect, on the likelihood of banking tension.

Suggested Citation

  • Abdi Seyyedkolaee, Mohammad & Zaroki, Shahryar & Ebrahimi Kelarijani, Kosar, 2022. "The Effect of Income Inequality on the Probability of Banking Tensions in Iran (in Persian)," The Journal of Planning and Budgeting (٠صلنامه برنامه ریزی Ùˆ بودجه), Institute for Management and Planning studies, vol. 27(2), pages 153-173, September.
  • Handle: RePEc:auv:jipbud:v:27:y:2022:i:2:p:153-173
    as

    Download full text from publisher

    File URL: http://jpbud.ir/article-1-2054-en.pdf
    Download Restriction: no

    File URL: http://jpbud.ir/article-1-2054-en.html
    Download Restriction: no

    File URL: http://jpbud.ir/article-1-2054-fa.html
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Banking Tension; Income Distribution; Iran's Economy; Probit Model; Markov Rotation Pattern.;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • D33 - Microeconomics - - Distribution - - - Factor Income Distribution
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

    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:auv:jipbud:v:27:y:2022:i:2:p:153-173. 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: Nahid Jebeli (email available below). General contact details of provider: https://edirc.repec.org/data/irpdair.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.