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Once NEET, Always NEET ? A Synthetic Panel Approach to Analyze the Moroccan Labor Market

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  • Alfani,Federica
  • Clementi,Fabio
  • Fabiani,Michele
  • Molini,Vasco
  • Valentini,Enzo

Abstract

In many regions of the world, the persistent, and growing, proportion of young people who are currently not in employment, education, or training is of global concern. This is no less true of Morocco: about 30 percent of the Moroccan population between ages 15 and 24 are currently not in employment, education, or training. Drawing from various rounds of Moroccan labor force surveys, this paper contributes to understanding the complex dynamics of labor markets in developing countries. First, it identifies the socioeconomic determinants of Morocco's young population not in employment, education, or training. Second, employing a synthetic panel methodology in the context of labor market analysis, the paper describes how the conditions of individuals in this group has changed over time. One striking, and worrisome, pattern that emerges from the 2010 synthetic panel data is that, even after 10 years, a majority of the young population not in employment, education, or training remained outside the labor market or education, with very little chance of moving out of their situation. Their chronic stagnancy confirms the powerful effect that initial conditions have on determining young people's future outcomes.

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  • Alfani,Federica & Clementi,Fabio & Fabiani,Michele & Molini,Vasco & Valentini,Enzo, 2020. "Once NEET, Always NEET ? A Synthetic Panel Approach to Analyze the Moroccan Labor Market," Policy Research Working Paper Series 9238, The World Bank.
    • Handle: RePEc:wbk:wbrwps:9238
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    References listed on IDEAS

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    1. Hai-Anh H. Dang & Peter F. Lanjouw & Umar Serajuddin, 2017. "Updating poverty estimates in the absence of regular and comparable consumption data: methods and illustration with reference to a middle-income country," Oxford Economic Papers, Oxford University Press, vol. 69(4), pages 939-962.
    2. Nicolas Hérault & Stephen P. Jenkins, 2019. "How valid are synthetic panel estimates of poverty dynamics?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(1), pages 51-76, March.
    3. Hai‐Anh H. Dang & Elena Ianchovichina, 2018. "Welfare Dynamics With Synthetic Panels: The Case of the Arab World In Transition," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(s1), pages 114-144, October.
    4. Hai-Anh H. Dang & Andrew L. Dabalen, 2019. "Is Poverty in Africa Mostly Chronic or Transient? Evidence from Synthetic Panel Data," Journal of Development Studies, Taylor & Francis Journals, vol. 55(7), pages 1527-1547, July.
    5. Bierbaum, Mira & Gassmann, Franziska, 2012. "Chronic and transitory poverty in the Kyrgyz Republic: What can synthetic panels tell us?," MERIT Working Papers 2012-064, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    6. Z. Bilgen Susanli, 2016. "Understanding the NEET in Turkey," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 4(2), pages 42-57.
    7. Alessandra Garbero, 2014. "Estimating poverty dynamics using synthetic panels for IFAD-supported projects: a case study from Vietnam," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 6(4), pages 490-510, December.
    8. Dang, Hai-Anh & Lanjouw, Peter & Luoto, Jill & McKenzie, David, 2014. "Using repeated cross-sections to explore movements into and out of poverty," Journal of Development Economics, Elsevier, vol. 107(C), pages 112-128.
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    Cited by:

    1. Roche Rodriguez, Jaime Alfonso & Robertson, Raymond & Lopez-Acevedo, Gladys & Zárate, Daniela Ruiz, 2023. "Trade Liberalization and Local Labor Markets in Morocco," IZA Discussion Papers 16213, Institute of Labor Economics (IZA).
    2. Levent Şahin & Halis Yunus Ersöz & İbrahim Demir & Muhammed Erkam Kocakaya & Osman Akgül & Abdullah Miraç Bükey, 2023. "The Relationship between Cause and Effect Dimensions of Young People’s Being “Not in Education, Employment, or Training (NEET)” in Turkey," Sustainability, MDPI, vol. 15(21), pages 1-19, October.

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    Keywords

    Educational Sciences; Rural Labor Markets; Labor Markets; Inequality; Gender and Development; Disease Control&Prevention;
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