Journals / Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi / 2019 / Cilt: 14 - Sayı: 2

Labor Force Participation Decision: Discrete Dependent Variable Panel Data Models

İşgücüne Katılım Kararı: Nitel Bağımlı Değişkenli Panel Veri Modelleri

Pages
315–330
Publication Date
2019-08-30
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)

While being married and having a child decrease the probability of labor force participation for women, increase the probability of labor force participation for men.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The labor force participation is important for the growth and development by increasing the economic activities.
📊
Key Findings & Data:This study aims to investigate the socioeconomic and demographic factors and the effects of 2008 financial crisis influencing the labor force participation decisions of individuals in working age using discrete dependent variable panel data models.
💡
Conclusion & Impact:While being married and having a child decrease the probability of labor force participation for women, increase the probability of labor force participation for men.
🔬Design:Survey & Empirical Study
📍Scope:2008 Verileri
⚙️Variables:İşgücü arzı · İşgücüne Katılım · Nitel Bağımlı Değişkenli Panel Veri Modelleri

Abstract

The labor force participation is important for the growth and development by increasing the economic activities. This study aims to investigate the socioeconomic and demographic factors and the effects of 2008 financial crisis influencing the labor force participation decisions of individuals in working age using discrete dependent variable panel data models. For this purpose, the 2007-2010 Income and Living Conditions Survey Panel Data Set covering the 2008 crisis is used. Since women’s labor force participation rate in Turkey is low, separate models are estimated for men and women enabling us to compare the results. According to the findings, the probability of labor force participation is increasing in both women and men during the crisis. The increase in labor force participation is due to the increase in unemployment in women and employment and unemployment in men. Having a university degree is an important determinant of women’s labor force participation and employment. While being married and having a child decrease the probability of labor force participation for women, increase the probability of labor force participation for men.

Özet

İşgücüne katılım, ekonomik faaliyetlerin arttırılıp büyüme ve kalkınmanın sağlanması açısından önem taşımaktadır. Çalışmanın amacı, çalışma çağında olan bireylerin işgücüne katılım kararları üzerinde sosyo-ekonomik ve demografik etmenler ile 2008 finans krizinin yarattığı etkileri nitel bağımlı değişkenli panel veri modelleriyle incelemektir. Bu amaç doğrultusunda çalışmada, 2008 krizini kapsayan, 2007-2010 Gelir ve Yaşam Koşulları Araştırması Panel Veri Seti kullanılmaktadır. Türkiye'de kadınların işgücüne katılımının düşük olması nedeniyle kadın ve erkekler için ayrı modeller tahmin edilmekte ve karşılaştırma yapılabilmesi sağlanmaktadır. Elde edilen bulgulara göre, kriz döneminde hem kadın hem de erkeklerde işgücüne katılma olasılığı artmaktadır. İşgücüne katılımdaki artış, kadınlarda işsizliğin erkeklerde ise hem istihdam hem de işsizliğin artması ile ortaya çıkmaktadır. Üniversite mezunu olmak, kadınların işgücüne katılımlarında ve istihdamda olmalarında önemli bir belirleyicidir. Evlilik ve hanede küçük çocuk olması kadınların işgücüne katılım olasılığını azaltırken, erkeklerinkini arttırmaktadır.

🔖

Cite This Article

GÜNEŞ, C. (2019). Labor Force Participation Decision: Discrete Dependent Variable Panel Data Models. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, Cilt: 14 - Sayı: 2, 315–330. https://ajindex.com/articles/30472

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (12)

  1. Acar, Elif Öznur; Tansel, Aysıt (2016), “Defining and Measuring Informality: The Case of Turkish Labor Market”, Sosyoekonomi, Vol. 24(28): 147-174.
  2. Alcan, Deniz; Can, Raif; Pektaş, Betül (2015), “Türkiye İşgücü Piyasasında Hareketlilik: Mikro Veriye Dayalı Analiz”, Kalkınma Bakanlığı Ekonomi Çalışma Tebliğleri Serisi, No: 2015/1. Bahçe Kaya, Seçil; Memiş, Emel (2014), "The Uncounted Who Wish to Work-Distinct to the Unemployed or Similar?", Sosyoekonomi, Vol. 21(1): 305-333.
  3. Becker, Gary S. (1965), “A Theory of the Allocation of Time”, The Economic Journal, Vol. 75, No. 299: 493-517.
  4. Booth, Alison L.; Jenkins, Stephen P.; Serrano, Carlos Garcia (1999), “New Men and New Women? A Comparison of Paid Work Propensities from a Panel Data Perspective”, Oxford Bulletin of Economics and Statistics, 61(2): 167-197.
  5. Butler, J. S.; Moffitt, Robert (1982), "A Computationally Quadrature for the One-Factor Multinomial Probit Model", Econometrica, Vol. 50, No. 3: 761-764.
  6. Cai, Lixin (2010), “Work Choices of Married Women: Drivers of Change”, Visiting Researcher Paper, Productivity Commission, Canberra. Croda, Enrica; Kyriazidou, Ekaterini; Polycarpou, Ioannis (2011), “Intertemporal Labor Force Participation of Married Women in Germany: A Panel Data Analysis”, Working Paper Department of Economics of the Ca’ Foscari University of Venice, No:17. Frees, Edward W. (2004), Longitudinal and Panel Data: Analysis and Applications in the Social Sciences, New York: Cambridge University Press.
  7. Greene, William H. (2012) LIMDEP Version 10 Econometric Reference Guide, New York: Econometric Software, Inc. Haan, Peter (2010), “A Multi-State Model of State Dependence in Labor Supply: Intertemporal Labor Supply Effects of a Shift from Joint to Individual Taxation”, Labor Economics, 17: 323-335.
  8. Haynes, Michele; Western, Mark; Yu, Laurel; Spallek, Melanie (2006), “Methods for Categorical Longitudinal Survey Data: Understanding Employment Status of Australian Women”, Methods for Longitudinal Surveys (MOLS2006)
  9. Conference, University of Essex, Colchester, United Kingdom, July 12-14, 2006. (pp. 1-25).
  10. Heckman, James J.; Willis, Robert J. (1977), “A Beta-Logistic Model for the Analysis of Sequential Labor Force Participation by Married Women”, The Journal of Political Economy, Vol. 85, Issue. 1: 27-58.
  11. Hill, R. Carter; Griffiths, William E.; Lim, Guay C. (2011),
  12. Principles of Econometrics, Fourth Edition, United States of America: John Wiley & Sons. Hyder, Asma; Behrman, Jere R. (2014), “Female