Estimation of Vulnerability to Poverty Using a Multilevel Longitudinal Model: Evidence from the Philippines

Christian Mina and Katsushi Imai

Journal of Development Studies, 2017, vol. 53, issue 12, 2118-2144

Abstract: Using the panel data for the Philippines in 2003–2009, we estimate a three-level random coefficient model to measure household vulnerability and to decompose it into idiosyncratic and covariate components. We correct heterogeneity bias using Bell and Jones’s ‘within-between’ formulation. A majority of the poor and 18 per cent of the non-poor are found to be vulnerable to unobservable shocks, while both groups of households are more susceptible to idiosyncratic shocks than to covariate shocks. Adequate safety nets should be provided for vulnerable households that lack access to infrastructure, or are larger in size with more dependents and less-educated heads.

Date: 2017
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Related works:
Working Paper: Estimation of Vulnerability to Poverty Using a Multilevel Longitudinal Model: Evidence from the Philippines (2016)
Working Paper: Estimation of Vulnerability to Poverty Using a Multilevel Longitudinal Model: Evidence from the Philippines (2016)
Working Paper: Estimation of Vulnerability to Poverty Using a Multilevel Longitudinal Model: Evidence from the Philippines (2015)
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DOI: 10.1080/00220388.2016.1265942

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