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How Precisely Can We Estimate Vulnerability to Poverty?

Author

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  • Yuan Zhang
  • Guanghua Wan

Abstract

There are alternative definitions of vulnerability to poverty. Most researchers prefer to define vulnerability to poverty as the probability of a household or individual falling into poverty in the future. Based on this definition and using household survey panel data from rural China, this paper attempts to assess the extent to which we can measure vulnerability to poverty. The assessment is based on comparisons between estimated vulnerability and actually observed poverty. The authors find that the precision of estimation, first, varies depending on the vulnerability line; their results suggest setting the line at 50% in order to improve predictive power. Second, precision depends on how permanent income is estimated. Assuming log-normal distribution of future income, it is preferable to use past weighted average income as an estimate of permanent income rather than using regressions to gauge permanent income. Third, estimation precision depends on the chosen poverty line. The percentage of overlap between households estimated to be vulnerable and those actually poor rises when a higher poverty line of US$2 is used instead of US$1.

Suggested Citation

  • Yuan Zhang & Guanghua Wan, 2009. "How Precisely Can We Estimate Vulnerability to Poverty?," Oxford Development Studies, Taylor & Francis Journals, vol. 37(3), pages 277-287.
  • Handle: RePEc:taf:oxdevs:v:37:y:2009:i:3:p:277-287
    DOI: 10.1080/13600810903094471
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    1. Milton Friedman, 1957. "Introduction to "A Theory of the Consumption Function"," NBER Chapters, in: A Theory of the Consumption Function, pages 1-6, National Bureau of Economic Research, Inc.
    2. Anthony F. Shorrocks & Guanghua Wan, 2008. "Ungrouping Income Distributions: Synthesising Samples for Inequality and Poverty Analysis," WIDER Working Paper Series RP2008-16, World Institute for Development Economic Research (UNU-WIDER).
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    5. Milton Friedman, 1957. "A Theory of the Consumption Function," NBER Books, National Bureau of Economic Research, Inc, number frie57-1, March.
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    Cited by:

    1. Shijiang Chen & Mingyue Liang & Wen Yang, 2022. "Does Digital Financial Inclusion Reduce China’s Rural Household Vulnerability to Poverty: An Empirical Analysis From the Perspective of Household Entrepreneurship," SAGE Open, , vol. 12(2), pages 21582440221, June.
    2. You, Jing, 2013. "The role of microcredit in older children’s nutrition: Quasi-experimental evidence from rural China," Food Policy, Elsevier, vol. 43(C), pages 167-179.
    3. Katja Landau & Stephan Klasen & Walter Zucchini, 2012. "Measuring Vulnerability to Poverty Using Long-Term Panel Data," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 118, Courant Research Centre PEG.
    4. Muhammad Masood Azeem & Amin W. Mugera & Steven Schilizzi & Kadambot H. M. Siddique, 2017. "An Assessment of Vulnerability to Poverty in Punjab, Pakistan: Subjective Choices of Poverty Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(1), pages 117-152, October.
    5. Nicola Amendola & Mariacristina Rossi & Giovanni Vecchi, 2012. "Vulnerability to Poverty in Italy," Working papers 007, Department of Economics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    6. 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.
    7. 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.
    8. Alfani, Federica & Dabalen, Andrew & Fisker, Peter & Molini, Vasco, 2019. "Vulnerability to stunting in the West African Sahel," Food Policy, Elsevier, vol. 83(C), pages 39-47.
    9. Nuno Crespo & Sandrina Berthault Moreira & Nádia Simões, 2011. "An integrated approach for the measurement of inequality, poverty, and richness," Working Papers 205, ECINEQ, Society for the Study of Economic Inequality.
    10. Tabish Nawab & Saqlain Raza & Malik Shahzad Shabbir & Ghulam Yahya Khan & Sana Bashir, 2023. "Multidimensional poverty index across districts in Punjab, Pakistan: estimation and rationale to consolidate with SDGs," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1301-1325, February.
    11. Juan M. Villa & Miguel Niño-Zarazúa, 2019. "Poverty dynamics and graduation from conditional cash transfers: a transition model for Mexico’s Progresa-Oportunidades-Prospera program," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 219-251, June.
    12. 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.
    13. Azeem, Muhammad Masood & Mugera, Amin W. & Schilizzi, Steven, 2016. "Living on the edge: Household vulnerability to food-insecurity in the Punjab, Pakistan," Food Policy, Elsevier, vol. 64(C), pages 1-13.
    14. Villa, Juan M. & Niño-Zarazúa, Miguel, 2014. "Poverty dynamics and programme graduation from social protection: A transitional model for Mexico's Oportunidades programme," WIDER Working Paper Series 109, World Institute for Development Economic Research (UNU-WIDER).
    15. Azeem, Muhammad Masood & Mugera, Amin W. & Schilizzi, Steven, 2016. "Poverty and vulnerability in the Punjab, Pakistan: A multilevel analysis," Journal of Asian Economics, Elsevier, vol. 44(C), pages 57-72.
    16. Juan M. Villa & Miguel Niño-Zarazúa, 2014. "Poverty Dynamics and Programme Graduation from Social Protection: A Transitional Model for Mexico's Oportunidades Programme," WIDER Working Paper Series wp-2014-109, World Institute for Development Economic Research (UNU-WIDER).
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    18. 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.
    19. Ebru Çaglayan & Naime Irem Kosan & Melek Astar, 2012. "An Empirical Analysis of the Determinants of Household Poverty in Turkey," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 2(1), pages 181-191, March.
    20. Vo, Thang T., 2018. "Household vulnerability as expected poverty in Vietnam," World Development Perspectives, Elsevier, vol. 10, pages 1-14.

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