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A Multidimensional Approach to Measuring Vulnerability to Poverty of Syrian Refugees in Lebanon

Angela Lyons (), Josephine Kass-Hanna () and Alejandro Castano ()
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Angela Lyons: University of Illinois at Urbana-Champaign
Josephine Kass-Hanna: University of Beirut
Alejandro Castano: University of Illinois at Urbana-Champaign

No 1472, Working Papers from Economic Research Forum

Abstract: This study uses vulnerability assessment data collected by the UNHCR, WFP, and UNICEF from Syrian refugees in Lebanon, a country that hosts an estimated 1.5 million refugees from neighboring Syria and the highest per capita proportion of refugees in the world. The data are used to construct a multidimensional livelihood index (MLI) to identify refugee households who are currently poor. The MLI is then used to assess households’ vulnerability to future poverty using a 3-stage Feasible Generalized Least Squares (FGLS) model. Our findings support the view that poverty is a dynamic phenomenon and not a static condition. The analysis allows us to identify more clearly which households and geographical locations are more vulnerable to experiencing prolonged poverty. This study is among the first to adapt the multidimensional poverty framework to the context of protracted forced displacement. It does this using a forward-looking approach to identify who, where, and how to target humanitarian assistance and development interventions more optimally, to prevent rather than simply alleviate immediate poverty

Pages: 46
Date: 2021-05-20, Revised 2021-05-20
New Economics Papers: this item is included in nep-ara and nep-mig
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Published by The Economic Research Forum (ERF)

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