Household and Contextual Indicators of Poverty in Tunisia: a Multilevel Analysis
Amara Mohamed () and
Hatem Jemmali
No 968, Working Papers from Economic Research Forum
Abstract:
This paper uses a multilevel logit model and a multilevel mixed linear model to simultaneously analyze the micro-level (household) and macro-level (governorate) factors that might affect the nature and social patterning of poverty in Tunisia. We find convincing evidence that the likelihood of a household being poor is positively and significantly related to household size, number of children per family and education level of household head. Macro-level analysis indicates that a greater neighborhood unemployment rate is associated with higher odds of poverty, while greater industrial agglomeration and migration balance are associated with reduced odds of poverty.
Pages: 24
Date: 2015-11, Revised 2015-11
New Economics Papers: this item is included in nep-ara
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Citations: View citations in EconPapers (1)
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Journal Article: Household and Contextual Indicators of Poverty in Tunisia: A Multilevel Analysis (2018) 
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