IDEAS home Printed from https://ideas.repec.org/a/fis/journl/25s0108.html

Does Female Labor Force Participation Lead to Male Unemployment?

Author

Listed:
  • Sinem Gözde BEÅžBALLI

Abstract

In this study, the causality relationship between the female labor force participation rate and the male unemployment rate was analyzed using the panel data from 26 Level 2 regions in Turkey for the period 2004–2024. The data set was obtained from the Turkish Statistical Institute (TURKSTAT), and the analyses were performed using the EViews 10 program. The stationarity levels of the variables were examined with the LLC, IPS, ADF-Fisher, and PP-Fisher unit root tests, and it was determined that the series were stationary at the level. The lag length was determined with information criteria such as LR, AIC, SC, and HQ, and the VAR(5) model was established with the suggestions of most criteria. The Toda-Yamamoto approach was applied to test the causality relationship, and according to the results obtained, the female labor force participation rate Granger-causes the male unemployment rate; however, there is no significant relationship in the opposite direction. Although this finding shows that increases in women's labor force participation may create short-term pressures on men's employment, it also reveals that policies aimed at reducing gender inequality should be continued. The study offers suggestions for expanding social policies that support women's participation in employment and eliminating gender-based segregation in the labor market.

Suggested Citation

  • Sinem Gözde BEÅžBALLI, 2025. "Does Female Labor Force Participation Lead to Male Unemployment?," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue s1.
  • Handle: RePEc:fis:journl:25s0108
    DOI: 10.25295/fsecon.1715966
    as

    Download full text from publisher

    File URL: https://dergipark.org.tr/en/download/article-file/4942990
    Download Restriction: no

    File URL: https://libkey.io/10.25295/fsecon.1715966?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
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

    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:fis:journl:25s0108. 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: Emre Atsan (email available below). General contact details of provider: https://dergipark.org.tr/ .

    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.