Journals / Uluslararası Ekonomik Araştırmalar Dergisi / 2016 / Cilt: 2 - Sayı: 2

The Determinants of Female Labor Force Participation for OECD Countries

Pages
27–38
Publication Date
2016-05-01
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Fertility rate is found to be the variable with the highest effect on female labor force participation rate

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Female labor force participation rate for women aged between 25 and 54 has increased from 54 percent in 1980 to 61 percent in 2013 in OECD countries.
📊
Key Findings & Data:The reasons for this increase could be investigated by looking at the factors affecting labor demand and supply.
💡
Conclusion & Impact:Fertility rate is found to be the variable with the highest effect on female labor force participation rate
🔬Design:Modeling & Simulation
📍Scope:2013 Verileri
⚙️Variables:Female labor force participation rate · panel logit model · OECD countries

Abstract

Female labor force participation rate for women aged between 25 and 54 has increased from 54 percent in 1980 to 61 percent in 2013 in OECD countries. The reasons for this increase could be investigated by looking at the factors affecting labor demand and supply. Labor demand is mainly determined by the increase in production, the development of part-time and public sector employment. Whereas the factors affecting labor supply are considered as the increase in female educational attainment, postponement of fertility and the change in the attitude of female employment. Also economic, cultural and sociological issues are the factors affecting female labor force participation in the OECD countries. The aim of this paper is to analyze the determinants of female labor force participation in OECD countries which are per capita GDP, unemployment rate, ratio of female to male tertiary enrollment, fertility rate and the number of waged and salaried workers using panel logit model. The data is obtained from World Bank database and covers the period between 1990 and 2013. It is found that unemployment rate, gross domestic product per capita and fertility rate are affecting the female labor force participation rate positively and significantly. Fertility rate is found to be the variable with the highest effect on female labor force participation rate

🔖

Cite This Article

TAŞSEVEN, Ö., ALTAŞ, D., ÜN, T. (2016). The Determinants of Female Labor Force Participation for OECD Countries. Uluslararası Ekonomik Araştırmalar Dergisi, Cilt: 2 - Sayı: 2, 27–38. https://ajindex.com/articles/846900

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (13)

  1. Asteriou, Dimitrios and Hall Stephen (2007), Applied Econometrics a Modern Approach using Eviews and Microfit, Palgrave Macmillan, New York. Baltagi, Badi (2008),
  2. Econometric Analysis of PanelDdata, John Wiley & Sons, Ltd.,UK. Berber, Metin and Eser Burçin Yılmaz (2008), “Türkiye’de Kadın İstihdamı: Ülke ve Bölge Düzeyinde Sektörel Analiz, İş Güç Endüstri İlişkileri ve İnsan Kaynakları Dergisi”, Sayı: 10, Cilt: 2, pp. 2-16.
  3. Blau, Francine and Kahn Lawrence (2013), Female Labor Supply: Why is the US falling Behind?, National Bureau of Economic Research Working Paper, Number:18702. Davidson, Russell and Mackinnon James (1999),
  4. Econometric Theory and Methods, Oxford University Press,
  5. New York. Dvorkin, Maximiliano and Shell Hannah (2015), A Cross Country Comparison of Labor Force Participation, Economic Synopses, Federal Reserve Bank of St. Louis, No.17. Heij, Christian De Boer Paul, Franses, Philip Hans Kloek, Teun and Dijk, Herman (2004), Econometric Methods with Applications in Business and Economics, New York: Oxford University Press.
  6. Jaumotte, Florence (2003), Female Labour Force Participation: Past Trends and Main Determinants in OECD Countries, OECD Economics Department Working Papers, No.376, OECD Publishing. Kennedy, Peter (2006), Ekonometri Kılavuzu (Çev. M. Sarımeşeli ve Ş. Açıkgöz), Gazi Kitabevi,
  7. Ankara.
  8. Kızılgöl, Özlem Ayvaz (2012),”Kadınların İşgücüne Katılımının Belirleyicileri: Ekonometrik Bir Analiz”, Doğuş Üniversitesi Dergisi, Sayı: 13, Cilt: 1, pp. 88-101.
  9. Kinoshita, Yuko and Guo Fang (2015), What can Boost Labor Force Participation in Asia?, IMF Working Paper, Number: 56. Korkmaz, Ademand and Korkut Gülsüm (2012), “Türkiye’de Kadının İşgücüne Katılımının Belirleyicileri”, Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Sayı: 17, Cilt: 2, pp.41-65.
  10. Küçükkalay, A. Mesud (1998), “Türkiye'de Planli Dönemde Kadin Nüfusu ve Kadin İşgücü İstihdamindaki Gelişmeler”, Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Sayı:3, Cilt:3, pp.35-44.
  11. Linacre, Susan (2007), “Labour Force Participation – an International Comparison”, Australian Social Trends, Number: 4102.0, pp. 1-7.
  12. Mishra, Vinod and Smyth Russell (2010), “Female Labor Force Participation and Total Fertility Rates in the OECD: New Evidence from Panel Cointegration and Granger Causality Testing”, Journal of Economics and Business, Number:2, pp. 48-64.
  13. Özer, Mustafa and Biçerli Kemal (2003), “Türkiye’de Kadın İşgücünün Panel Veri Analizi