IDEAS home Printed from https://ideas.repec.org/a/ris/qjatoe/0177.html
   My bibliography  Save this article

The impact of gender inequality on macroeconomic variables in the framework of a DSGE model

Author

Listed:
  • Zare Shahneh, Mohammad Mehdi

    (Ph.D. Candidate in Economics, University of Yazd)

  • Nasrollahi , Zahra

    (Associate Professor of Economics, University of Yazd)

  • Parsa, Hojat

    (Assistant Professor of Economics, Uinversity of Persian Gulf)

Abstract

Women, as half of the population of the society, play a decisive role in economic, political and social activities. So, in this paper, the effects of monetary, supply of female labor force and technology shocks on macroeconomic variables such as production, employment of women and men, total employment and gender inequality in the labor market are discussed, in the framework of a DSGE model. The results indicate that monetary and technology shocks increase production, employment of women and men, and total employment. These shocks increase men's employment more than women's, and as a result, gender inequality in the labor market increases. Supply of female labor force shock increases production, total employment and women's employment, and reduces men's employment, as a result, gender inequality in the labor market decreases. This study helps economic policymakers and planners to assess the impact of these shocks on economic variables, especially on the employment of men and women, and gender inequality in the labor market, and, by adopting appropriate policies, reduce the inefficiencies

Suggested Citation

  • Zare Shahneh, Mohammad Mehdi & Nasrollahi , Zahra & Parsa, Hojat, 2020. "The impact of gender inequality on macroeconomic variables in the framework of a DSGE model," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 7(1), pages 29-60, May.
  • Handle: RePEc:ris:qjatoe:0177
    as

    Download full text from publisher

    File URL: https://ecoj.tabrizu.ac.ir/article_9601_e76f6bc955d4feb7e0bb0396581aa492.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    gender inequality; employment; calibration; DSGE model;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory
    • J42 - Labor and Demographic Economics - - Particular Labor Markets - - - Monopsony; Segmented Labor Markets

    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:ris:qjatoe:0177. 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: Sakineh Sojoodi (email available below). General contact details of provider: https://edirc.repec.org/data/fetabir.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.