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Vulnerability to poverty: an empirical comparison of alternative measures

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  • Martina Celidoni

Abstract

This article compares empirically the several measures of individual vulnerability to poverty proposed in the literature, in order to understand which is the best signal of poverty that can be used for policy purposes. To this aim, the Receiver Operating Characteristic (ROC) curve, the Pearson and Spearman correlation coefficients are used as precision criteria. The results show that two groups of indexes can be identified, high and low performers, and, among the former, that proposed by Dutta et al . (2011) is the most precise.

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  • Martina Celidoni, 2013. "Vulnerability to poverty: an empirical comparison of alternative measures," Applied Economics, Taylor & Francis Journals, vol. 45(12), pages 1493-1506, April.
    • Handle: RePEc:taf:applec:45:y:2013:i:12:p:1493-1506
    DOI: 10.1080/00036846.2011.624271
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    References listed on IDEAS

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    1. David Madden, 2011. "Health and income poverty in Ireland, 2003–2006," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(1), pages 23-33, March.
    2. Hoddinott, John & Quisumbing, Agnes, 2003. "Methods for microeconometric risk and vulnerability assessments," Social Protection Discussion Papers and Notes 29138, The World Bank.
    3. Lars Osberg, 2010. "Measuring Economic Insecurity and Vulnerability as Part of Economic Well-Being: Concepts and Context," Working Papers daleconwp2010-04, Dalhousie University, Department of Economics.
    4. Yuan Zhang & Guanghua Wan, 2008. "Can We Predict Vulnerability to Poverty?," WIDER Working Paper Series RP2008-82, World Institute for Development Economic Research (UNU-WIDER).
    5. Jamal, Haroon, 2009. "Assessing Vulnerability to Poverty:Evidence from Pakistan," MPRA Paper 40228, University Library of Munich, Germany.
    6. Md. Shafiul Azam & Katsushi Imai, 2009. "Vulnerability and Poverty in Bangladesh," Economics Discussion Paper Series 0905, Economics, The University of Manchester.
    7. Skoufias, Emmanuel & Quisumbing, Agnes R., 2003. "Consumption insurance and vulnerability to poverty," FCND briefs 155, International Food Policy Research Institute (IFPRI).
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    Citations

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    Cited by:

    1. Prieto Suarez, Joaquin, 2023. "Degrees of vulnerability to poverty: a low-income dynamics approach for Chile," LSE Research Online Documents on Economics 121993, London School of Economics and Political Science, LSE Library.
    2. Kanwal, Vinita & Sirohi, Smita & Chand, Prem & Thakur, Arti, 2021. "Drought, Hunger and Malnutrition: Spatial and Socio-Economic Variations in the Desert State of India," 2021 Conference, August 17-31, 2021, Virtual 315248, International Association of Agricultural Economists.
    3. Nuno Crespo & Sandrina B. Moreira & Nadia Simoes, 2015. "An Integrated Approach for the Measurement of Inequality, Poverty, and Richness," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 62(5), pages 531-555, December.
    4. Jing Su & Liwei Tang & Pan Xiao & Ermei Wang, 2023. "Multidimensional poverty vulnerability in rural China," Empirical Economics, Springer, vol. 64(2), pages 897-930, February.
    5. Antonio Acconcia & Maria Carannante & Michelangelo Misuraca & Germana Scepi, 2020. "Measuring Vulnerability to Poverty with Latent Transition Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(1), pages 1-31, August.
    6. Ira N. Gang & Kseniia Gatskova & John Landon-Lane & Myeong-Su Yun, 2018. "Vulnerability to Poverty: Tajikistan During and After the Global Financial Crisis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(3), pages 925-951, August.
    7. Mauricio Gallardo, 2020. "Measuring Vulnerability to Multidimensional Poverty," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 67-103, February.
    8. repec:ehl:lserod:121085 is not listed on IDEAS
    9. Maike Hohberg & Katja Landau & Thomas Kneib & Stephan Klasen & Walter Zucchini, 2018. "Vulnerability to poverty revisited: Flexible modeling and better predictive performance," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(3), pages 439-454, September.
    10. Joaquín Prieto, 2024. "Degrees of vulnerability to poverty: A low-income dynamics approach for Chile," Working Papers 666, ECINEQ, Society for the Study of Economic Inequality.
    11. Martina Celidoni, 2015. "Decomposing Vulnerability to Poverty," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(1), pages 59-74, March.
    12. Yuhua Li & Xiheng Gong & Jingyi Zhang & Ziwei Xiang & Chengjun Liao, 2022. "The Impact of Mobile Payment on Household Poverty Vulnerability: A Study Based on CHFS2017 in China," IJERPH, MDPI, vol. 19(21), pages 1-20, October.
    13. Mauricio Gallardo, 2018. "Identifying Vulnerability To Poverty: A Critical Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 1074-1105, September.
    14. Yuan Li Liu & Kai Zhu & Qi Yao Chen & Jing Li & Jin Cai & Tian He & He Ping Liao, 2021. "Impact of the COVID-19 Pandemic on Farm Households’ Vulnerability to Multidimensional Poverty in Rural China," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    15. Mousumi Das, 2021. "Vulnerability to Food Insecurity: A Decomposition Exercise for Rural India using the Expected Utility Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(1), pages 167-199, July.
    16. Vo, Thang T., 2018. "Household vulnerability as expected poverty in Vietnam," World Development Perspectives, Elsevier, vol. 10, pages 1-14.

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