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Article . 2017 . Peer-reviewed
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Article . 2015 . Peer-reviewed
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A Multilevel Analysis of the Unemployment in Egypt

Authors: Bertoni, Eleonora; RICCHIUTI, GIORGIO;

A Multilevel Analysis of the Unemployment in Egypt

Abstract

AbstractDespite its recent economic development, Egypt's employment inequalities among gender and different age cohorts are still an unresolved issue. In this work we apply a Multilevel Generalized Linear Mixed Model to the Egyptian Labor Market Panel Survey 2006 (ELMPS 2006) and 2012 (ELMPS 2012). By exploiting the hierarchical structure of the survey data, we investigate how the interplay between individual characteristics and regional context affects Egyptians’ individual probability of being unemployed. Moreover, we attempt to identify if and how these same characteristics have changed between 2006 and 2012 as a consequence of the major changes that re‐shaped Egyptian demographics, labor market structure, and young cohorts’ educational achievements.

Country
Italy
Keywords

Multilevel Generalized Linear Mixed Model; Unemployment probability; Egypt., Demography; Geography, Planning and Development, jel: jel:J01, jel: jel:C19, jel: jel:O1

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
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