IDEAS home Printed from https://ideas.repec.org/a/ist/ancoec/v18y2013i1p18-34.html
   My bibliography  Save this article

Turkiye'de Kadinlarin Isgucune Katilimlarinin Kohort Analizi

Author

Listed:
  • Emrah Talas

    () (Ataturk University)

  • Fatih Cakmak

    () (Ataturk University)

Abstract

Labour force participation rates of women in Turkey are quite low with respect to European Union member countries. Cohort analysis application was used with an aim of determining the reasons of this situation and how extent these reasons effect woman labor force. Cohort analysis is used by many researchers who establishing different models in different contexts. The model, which was developed by Beaudry and Lemieux (1999), was used for the application of cohort analysis. In this model, factors effecting woman labor force are examined by seperaring these effects in three categories: macroeconomic factors, ages of women in a cohort and specific effects of a cohort. It is seen that age effect amd cohort effect are significant on women’s labor force in Turkey. Also, it’s determined that women’s labor force is effected by men’s labor force as a macroeconomic effect.

Suggested Citation

  • Emrah Talas & Fatih Cakmak, 2013. "Turkiye'de Kadinlarin Isgucune Katilimlarinin Kohort Analizi," Istanbul University Econometrics and Statistics e-Journal, Department of Econometrics, Faculty of Economics, Istanbul University, vol. 18(1), pages 18-34, May.
  • Handle: RePEc:ist:ancoec:v:18:y:2013:i:1:p:18-34
    as

    Download full text from publisher

    File URL: http://eidergisi.istanbul.edu.tr/sayi18/iueis18m2.pdf
    Download Restriction: no

    More about this item

    Keywords

    Cohort Analysis; Women’s Labor Force; Cohort Effect; Age Effect;

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    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:ist:ancoec:v:18:y:2013:i:1:p:18-34. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Kutluk Kagan Sumer). General contact details of provider: http://edirc.repec.org/data/ifisttr.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.