IDEAS home Printed from https://ideas.repec.org/a/ejn/ejefjr/v6y2018i1p1-15.html
   My bibliography  Save this article

Educational Attainments And Labor Participation Of Females Across The Turkish Regions: A Panel Data Approach

Author

Listed:
  • Seyit Kose

    (Abant Izzet Baysal University, Turkey)

  • Sahabettin Gunes

    (Abant Izzet Baysal University, Turkey)

Abstract

This paper aims at testing whether educational attainments of females beside other primary determinants have significant impacts on their participation in the labor markets across the regions of Turkey during the years 2004-2016. Even though there are certain number of empirical studies on this fact, they mostly employ time series data or micro data sets. However, very few of them stick with the regional data analysis and also do not take care of the recent developments in the empirical literature. So, the existing empirical findings do not suggest a clear evidence about the matter, particularly about the Turkish regional differences, yet. Therefore, this work exploits a panel data technique that pays attention to the recent empirical considerations. The findings suggest that, in contrary to most of the current empirical results, both the high school and the higher education graduations of females beyond the other determinants do not have significant impacts on their participation rates in the labor market across the Turkish regions in the relevant span.

Suggested Citation

  • Seyit Kose & Sahabettin Gunes, 2018. "Educational Attainments And Labor Participation Of Females Across The Turkish Regions: A Panel Data Approach," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 6(1), pages 1-15.
  • Handle: RePEc:ejn:ejefjr:v:6:y:2018:i:1:p:1-15
    as

    Download full text from publisher

    File URL: https://eurasianpublications.com/wp-content/uploads/2021/02/EJEF-6.1.1.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Markus Eberhardt & Christian Helmers & Hubert Strauss, 2013. "Do Spillovers Matter When Estimating Private Returns to R&D?," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 436-448, May.
    2. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    3. Adebayo B. Aromolaran, 2004. "Female Schooling, Non-Market Productivity, and Labor Market Participation in Nigeria," Working Papers 879, Economic Growth Center, Yale University.
    4. Kapetanios, G. & Pesaran, M. Hashem & Yamagata, T., 2011. "Panels with non-stationary multifactor error structures," Journal of Econometrics, Elsevier, vol. 160(2), pages 326-348, February.
    5. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    6. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    7. F. Moscone & E. Tosetti, 2010. "Health expenditure and income in the United States," Health Economics, John Wiley & Sons, Ltd., vol. 19(12), pages 1385-1403, December.
    8. Frees, Edward W., 1995. "Assessing cross-sectional correlation in panel data," Journal of Econometrics, Elsevier, vol. 69(2), pages 393-414, October.
    9. Pesaran, M. Hashem & Tosetti, Elisa, 2011. "Large panels with common factors and spatial correlation," Journal of Econometrics, Elsevier, vol. 161(2), pages 182-202, April.
    10. Francis Teal & Markus Eberhardt, 2010. "Productivity Analysis in Global Manufacturing Production," Economics Series Working Papers 515, University of Oxford, Department of Economics.
    11. Kristin Mammen & Christina Paxson, 2000. "Women's Work and Economic Development," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 141-164, Fall.
    12. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    13. Eberhardt, Markus & Teal, Francis, 2008. "Modeling technology and technological change in manufacturing: how do countries differ?," MPRA Paper 10690, University Library of Munich, Germany.
    14. Mehmet Huseyin Bilgin & Hakan Danis & Ender Demir & Ugur Can (ed.), 2017. "Regional Studies on Economic Growth, Financial Economics and Management," Eurasian Studies in Business and Economics, Springer, number 978-3-319-54112-9, December.
    15. Kottis, Athena Petraki, 1990. "Shifts over time and regional variation in women's labor force participation rates in a developing economy: The case of Greece," Journal of Development Economics, Elsevier, vol. 33(1), pages 117-132, July.
    16. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, February.
    17. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    18. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    19. Omer Limanli, 2017. "Analysis of Female Labor Force Participation: Evidence from Turkey," Eurasian Studies in Business and Economics, in: Mehmet Huseyin Bilgin & Hakan Danis & Ender Demir & Ugur Can (ed.), Regional Studies on Economic Growth, Financial Economics and Management, pages 139-171, Springer.
    20. Harry A. Sackey, 2005. "Female labour force participation in Ghana: The effects of education," Working Papers 150, African Economic Research Consortium, Research Department.
    21. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    22. Aysit Tansel, 2001. "Economic Development and Female Labor Force Participation in Turkey: Time-Series Evidence and Cross-Province Estimates," Working Papers 0124, Economic Research Forum, revised 08 2001.
    23. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    24. Ambreen Fatima & Humera Sultana, 2009. "Tracing out the U‐shape relationship between female labor force participation rate and economic development for Pakistan," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 36(1/2), pages 182-198, January.
    25. Ambreen Fatima & Humera Sultana, 2009. "Tracing out the U-shape relationship between female labor force participation rate and economic development for Pakistan," International Journal of Social Economics, Emerald Group Publishing, vol. 36(2), pages 182-198, January.
    26. Eberhardt, Markus & Bond, Stephen, 2009. "Cross-section dependence in nonstationary panel models: a novel estimator," MPRA Paper 17692, University Library of Munich, Germany.
    27. repec:hal:journl:peer-00796743 is not listed on IDEAS
    28. Aromolaran, Adebayo B., 2004. "Female Schooling, Non-Market Productivity, and Labor Market Participation in Nigeria," Center Discussion Papers 28451, Yale University, Economic Growth Center.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Peñasco, Cristina & del Río, Pablo & Romero-Jordán, Desiderio, 2017. "Gas and electricity demand in Spanish manufacturing industries: An analysis using homogeneous and heterogeneous estimators," Utilities Policy, Elsevier, vol. 45(C), pages 45-60.
    2. Markus Eberhardt, 2012. "Estimating panel time-series models with heterogeneous slopes," Stata Journal, StataCorp LP, vol. 12(1), pages 61-71, March.
    3. Skare, Marinko & Ozturk, Ilhan & Porada-Rochoń, Małgorzata & Stjepanovic, Sasa, 2024. "Energy as the new frontier: Dynamic panel data analysis revealing energy's transformative role in economic growth and technological progress," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    4. Markus Eberhardt & Francis Teal, 2008. "Modeling Technology and Technological Change in Manufacturing: How do Countries Differ?," CSAE Working Paper Series 2008-12, Centre for the Study of African Economies, University of Oxford.
    5. Markus Eberhardt & Francis Teal, 2010. "Aggregation versus Heterogeneity in Cross-Country Growth Empirics," CSAE Working Paper Series 2010-32, Centre for the Study of African Economies, University of Oxford.
    6. Sadorsky, Perry, 2014. "The effect of urbanization on CO2 emissions in emerging economies," Energy Economics, Elsevier, vol. 41(C), pages 147-153.
    7. Naima Chrid & Sami Saafi & Mohamed Chakroun, 2021. "Export Upgrading and Economic Growth: a Panel Cointegration and Causality Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 811-841, June.
    8. Philip Kerner & Torben Klarl & Tobias Wendler, 2021. "Green Technologies, Environmental Policy and Regional Growth," Bremen Papers on Economics & Innovation 2104, University of Bremen, Faculty of Business Studies and Economics.
    9. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    10. Markus Eberhardt & Christian Helmers & Hubert Strauss, 2013. "Do Spillovers Matter When Estimating Private Returns to R&D?," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 436-448, May.
    11. Benos, Nikos & Karagiannis, Stelios, 2013. "Do Cross-Section Dependence and Parameter Heterogeneity Matter? Evidence on Human Capital and Productivity in Greece," MPRA Paper 53326, University Library of Munich, Germany.
    12. Shuddhasattwa Rafiq & Ruhul Salim & Pasquale M Sgro, 2018. "Energy, unemployment and trade," Applied Economics, Taylor & Francis Journals, vol. 50(47), pages 5122-5134, October.
    13. Mohamed Chakroun & Naima Chrid & Sami Saafi, 2021. "Does export upgrading really matter to economic growth? Evidence from panel data for high‐, middle‐ and low‐income countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5584-5609, October.
    14. Cern Ertur & Antonio Musolesi, 2012. "Spatial autoregressive spillovers vs unobserved common factors models. A panel data analysis of international technology diffusion," INRA UMR CESAER Working Papers 2012/9, INRA UMR CESAER, Centre d'’Economie et Sociologie appliquées à l'’Agriculture et aux Espaces Ruraux.
    15. Alberto Montagnoli & Jun Nagaysu, 2013. "An investigation of housing affordability in the UK regions," Working Papers 1316, University of Strathclyde Business School, Department of Economics.
    16. Lanzafame, Matteo & Nogueira, Reginaldo, 2013. "Inflation targeting and interest rates," MPRA Paper 46153, University Library of Munich, Germany.
    17. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, February.
    18. Delwar Hossain, 2014. "Differential Impacts of Foreign Capital and Remittance Inflows on Domestic Savings in the Developing Countries: A Dynamic Heterogeneous Panel Analysis," Departmental Working Papers 2014-07, The Australian National University, Arndt-Corden Department of Economics.
    19. Topcu, Mert & Payne, James E., 2018. "Further evidence on the trade-energy consumption nexus in OECD countries," Energy Policy, Elsevier, vol. 117(C), pages 160-165.
    20. Bonizzi, Bruno, 2017. "Institutional investors’ allocation to emerging markets: A panel approach to asset demand," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 47(C), pages 47-64.

    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:ejn:ejefjr:v:6:y:2018:i:1:p:1-15. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Esra Barakli (email available below). General contact details of provider: .

    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.