Concomitant to the analysis of poverty is the measurement of vulnerability. Estimates of household vulnerability to income poverty are developed using a modified probit model that considers volatilities in income as being explained by some household characteristics. Resulting vulnerability estimates are found to be higher than poverty rates, suggesting that policy interventions will have to be developed to minimize the risk households face in becoming income poor, or at least help them in mitigating the impact of their becoming poor.
Citations
This publication has been cited 10 times
In other Publications
- Albert, Jose Ramon G. and Andre Philippe Ramos. 2010. Trends in Household Vulnerability. Development Economics Working Papers 22805. East Asian Bureau of Economic Research.
- Albert, Jose Ramon G. and Andre Philippe Ramos. 2010. Trends in household vulnerability. Discussion Papers DP 2010-01. Philippine Institute for Development Studies.
- Codjoe, Samuel and Samuel Afuduo. 2015. Geophysical, socio-demographic characteristics and perception of flood vulnerability in Accra, Ghana. Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 77, no. 2, 787-804. Springer, International Society for the Prevention and Mitigation of Natural Hazards, .
- Ding, Shuo. 2022. A comparative analysis of vulnerability to poverty between urban and rural households in China. Economies, 10 No. 10, 1-28 . MDPI.
- Hardeweg, Bernd, Andreas Wagener, and Hermann Waibel. 2013. A distributional approach to comparing vulnerability, applied to rural provinces in Thailand and Vietnam. Journal of Asian Economics, 25(C), 53-65. Elsevier.
- Kruy, Narin, Donghun Kim, and Makoto Kakinaka. 2010. Poverty and vulnerability: An examination of chronic and transient poverty in Cambodia. International Area Studies Review, 13, no. 4, 3-23. Center for International Area Studies, Hankuk University of Foreign Studies.
- Mina, Christian D. and Celia M. Reyes. 2017. Estimating Filipinos' vulnerability to poverty. Working Papers id:12080. eSocialSciences.
- Mina, Christian D. and Katsushi S. Imai. 2015. Estimation of vulnerability to poverty using a multilevel longitudinal model: Evidence from the Philippines. Discussion Paper Series DP2015-16. Research Institute for Economics & Business Administration, Kobe University.
- Mina, Christian D. and Katsushi S. Imai. 2016. Estimation of vulnerability to poverty using a multilevel longitudinal model: Evidence from the Philippines. Discussion Papers DP 2016-10 (Revised). Philippine Institute for Development Studies.
- Minam Christian D. and Katsushi S. Imai. 2017. Estimation of vulnerability to poverty using a multilevel longitudinal model: Evidence from the Philippines. Journal of Development Studies, 53, no. 12, 2118-2144. Taylor & Francis Journals.
