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


Using the panel data for the Philippines in 2003-2009, the paper estimates a three-level random coefficient model to measure household vulnerability and to decompose it into idiosyncratic and covariate components. It corrects heterogeneity bias using Bell and Jones's (2015) "within-between" formulation. A majority of the poor and 18 percent of the nonpoor 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 household heads.

Citations

This publication has been cited time(s).

  1. Bayudan-Dacuycuy, Connie and Lora Baje, 2017 "Chronic food poverty in the Philippines" , eSocialSciences

  2. Bayudan-Dacuycuy, Connie and Lora Baje, 2017 "Chronic and transient poverty and weather variability in the Philippines: Evidence using components approach" , eSocialSciences

  3. Bayudan-Dacuycuy, Connie and Lora Kryz C. Baje, 2018 "When it rains, it pours? Analyzing the rainfall shocks-poverty nexus in the Philippines" , Philippine Institute for Development Studies

  4. Pham, Anh Thu Quang, Pundarik Mukhopadhaya, and Ha Vu, 2021 "Estimating poverty and vulnerability to monetary and non-monetary poverty: The case of Vietnam" , Springer

  5. Mina, Christian D., 2017 "Employment profile of women with disabilities in San Remigio and Mandaue City, Cebu, Philippines" , Philippine Institute for Development Studies

  6. Bresciani, F., K.S. Imai, and B. Malaeb, 2017 "Remittances, growth and poverty reduction in Asia" , International Fund for Agricultural Development (IFAD)

  7. Mina, Christian, 2018 "Employment profile of women with disabilities in San Remigio and Mandaue City, Cebu, Philippines" , eSocialSciences

  8. Azeem, Muhammad Masood, et. al, 2017 "An assessment of vulnerability to poverty in Punjab, Pakistan: Subjective choices of poverty indicators" , Springer

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Apr 13, 2016