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Labor Mobility across the Formal/Informal Divide in Turkey: Evidence from Individual Level Data

Author

Listed:
  • Aysit Tansel

    (Middle East Technical University, Institute for the Study of Labor (IZA), Germany and Economic Research Forum (ERF), Egypt)

  • Elif Oznur Kan

    (Cankaya University)

Abstract
Informality has long been a salient phenomenon in developing country labor markets, thus has been addressed in several theoretical and empirical research. Turkey, given its economic and demographic dynamics, provides rich evidence for a growing, heterogeneous and multifaceted informal labor market. However, the existing evidence on labor informality in Turkey is mixed and scant. Along these lines, we aim to extend the existing literature by providing a diagnosis of dynamic worker flows across distinct labor market states and identifying the effects of certain individual and job characteristics on variant mobility patterns. More specifically, we first develop and discuss a set of probability statistics based on annual worker transitions across distinct employment states utilizing Markov transition processes. As Bosch and Maloney (2007:3) argue: “labor status mobility can be assumed as a process in which changes in the states occur randomly through time, and probabilities of moves between particular states are governed by Markov transition matrices”. Towards this end, we will use the novel Income and Living Conditions Survey (SILC) panel data set to compute the transition probabilities of individuals moving across the labor market states of formal-salaried, informal-salaried, formal self-employed, informal self-employed, unemployed and inactive. The transitions analysis is conducted separately for two, three and four year panels pertaining to 2006 to 2007, 2006 to 2008 and 2006 to 2009 transitions; for total, male and female samples; and lastly for total and non-agricultural samples. In this way, we aim to contribute to the limited body of stylized facts available on mobility and informality in the Turkish labor market. Next, we conduct multinomial logit regressions individually for each set of panel to identify the impact of individual characteristics (i.e. gender, age, education level, work experience, sector of economic activity, firm size, number of other household members, having/not having children, rural/urban) underlying worker transitions. The results reveal several relationships between the covariates and likelihood of variant transitions, and are of remarkable importance for designing policy to address labor informality and reduce its negative externalities.

Suggested Citation

  • Aysit Tansel & Elif Oznur Kan, 2012. "Labor Mobility across the Formal/Informal Divide in Turkey: Evidence from Individual Level Data," Koç University-TUSIAD Economic Research Forum Working Papers 1201, Koc University-TUSIAD Economic Research Forum.
    • Handle: RePEc:koc:wpaper:1201
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    References listed on IDEAS

    as
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    Cited by:

    1. Aydemir, Abdurrahman B. & Kırdar, Murat G., 2017. "Quasi-experimental impact estimates of immigrant labor supply shocks: The role of treatment and comparison group matching and relative skill composition," European Economic Review, Elsevier, vol. 98(C), pages 282-315.
    2. Aysit Tansel & Elif Oznur Acar, 2016. "The Formal/Informal Employment Earnings Gap: Evidence from Turkey," Research on Economic Inequality, in: Inequality after the 20th Century: Papers from the Sixth ECINEQ Meeting, volume 24, pages 121-154, Emerald Group Publishing Limited.
    3. Joonmo Cho & Jaeseong Lee, 2015. "Persistence of the Gender Gap and Low Employment of Female Workers in a Stratified Labor Market: Evidence from South Korea," Sustainability, MDPI, vol. 7(9), pages 1-27, September.
    4. Dildar, Yasemin, 2015. "Patriarchal Norms, Religion, and Female Labor Supply: Evidence from Turkey," World Development, Elsevier, vol. 76(C), pages 40-61.
    5. Binnur Balkan & Semih Tumen, 2016. "Firm-Size Wage Gaps along the Formal-Informal Divide: Theory and Evidence," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 55(2), pages 235-266, April.
    6. Altug, Sumru & Tan, Barış & Gencer, Gözde, 2012. "Cyclical dynamics of industrial production and employment: Markov chain-based estimates and tests," Journal of Economic Dynamics and Control, Elsevier, vol. 36(10), pages 1534-1550.
    7. Aysit Tansel & Elif Oznur Acar, 2016. "The Formal/Informal Employment Earnings Gap: Evidence from Turkey," Research on Economic Inequality,in: Inequality after the 20th Century: Papers from the Sixth ECINEQ Meeting, volume 24, pages 121-154 Emerald Publishing Ltd.
    8. Ayça Akarçay Gürbüz & Sezgin Polat & Mustafa Ulus, 2014. "In Limbo: Exploring Transition to Discouragement," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 26(4), pages 527-551, September.
    9. Ayça Akarçay Gürbüz & Sezgin Polat, 2016. "Public--private wage differentials in Turkey: public policy or market dynamics?," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(3), pages 326-356, May.
    10. Tansel, Aysit & Ozdemir, Zeynel / A., 2014. "Determinants of Transitions across Formal/Informal sectors in Egypt," MPRA Paper 61183, University Library of Munich, Germany.
    11. Z. Bilgen Susanli, 2016. "Understanding the NEET in Turkey," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 4(2), pages 42-57.
    12. Duman, Anil, 2020. "Pay Gaps and Mobility for Lower and Upper Tier Informal Sector Employees: an investigation of the Turkish labor market," GLO Discussion Paper Series 655, Global Labor Organization (GLO).
    13. Ali Souag & Ragui Assaad, 2018. "The impact of the action plan for promoting employment and combating unemployment on employment informality in Algeria," Middle East Development Journal, Taylor & Francis Journals, vol. 10(2), pages 272-298, July.
    14. Ahmed Elsayed & Jackline Wahba, 2016. "Informalization Dynamics and Gains: Why Want a Job Contract?," Working Papers 1001, Economic Research Forum, revised May 2016.
    15. Değer Eryar & Hasan Tekgüç, 2014. "Gender Effect in Explaining Mobility Patterns in the Labor Market: A Case Study of Turkey," The Developing Economies, Institute of Developing Economies, vol. 52(4), pages 322-350, December.
    16. Ceyhun Elgin & Muhammed Burak Sezgin, 2017. "Sectoral Estimates of Informality: A New Method and Application for the Turkish Economy," The Developing Economies, Institute of Developing Economies, vol. 55(4), pages 261-289, December.
    17. Mélika Salem & Isabelle Bensidoun, 2012. "The heterogeneity of informal employment and segmentation in the Turkish labour market," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 17(4), pages 578-592.
    18. Abdel Rahmen El Lahga & Ines Bouassida, 2017. "Public-Private Wage Disparities, Employment and Labor Market Segmentation in Tunisia," Working Papers 1168, Economic Research Forum, revised 12 2017.
    19. Fabián Slonimczyk & Vladimir Gimpelson, 2015. "Informality and mobility," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 23(2), pages 299-341, April.
    20. Slonimczyk, Fabian & Gimpelson, Vladimir, 2013. "Informality and Mobility: Evidence from Russian Panel Data," IZA Discussion Papers 7703, Institute of Labor Economics (IZA).
    21. Eryar, Değer & Tekgüç, Hasan, 2013. "Gender effect in explaining the mobility patterns in the labor market: a Case study from Turkey," MPRA Paper 46006, University Library of Munich, Germany.
    22. United Nations Economic and Social Commission for Asia and the Pacific (ESCAP) South and South-West (ed.), 2012. "Regional Cooperation for Inclusive and Sustainable Development: South and South-West Asia Development Report 2012-2013," SSWA Books and Research Reports, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP) South and South-West Asia Office, number brr4, May.

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    More about this item

    Keywords

    Labor market dynamics; informality; Markov processes; multinomial logit; Turkey;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J40 - Labor and Demographic Economics - - Particular Labor Markets - - - General
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements

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