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Measuring Vulnerability to Poverty Using Long-Term Panel Data

Author

Listed:
  • Katja Landau

    (Georg-August-University Göttingen)

  • Stephan Klasen

    (Georg-August-University Göttingen)

  • Walter Zucchini

    (Georg-August-University Göttingen)

Abstract

We investigate the accuracy of ex ante assessments of vulnerability to income poverty using cross-sectional data and panel data. We use long-term panel data from Germany and apply di fferent regression models, based on household covariates and previous-year equivalence income, to classify a household as vulnerable or not. Predictive performance is assessed using the Receiver Operating Characteristics (ROC), which takes account of false positive as well as true positive rates. Estimates based on cross-sectional data are much less accurate than those based on panel data, but for Germany, the accuracy of vulnerability predictions is limited even when panel data are used. In part this low accuracy is due to low poverty incidence and high mobility in and out of poverty.

Suggested Citation

  • 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.
    • Handle: RePEc:got:gotcrc:118
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    1. Cesar Calvo & Stefan Dercon, 2005. "Measuring Individual Vulnerability," Economics Series Working Papers 229, University of Oxford, Department of Economics.
    2. Luc J. Christiaensen & Kalanidhi Subbarao, 2005. "Towards an Understanding of Household Vulnerability in Rural Kenya," Journal of African Economies, Centre for the Study of African Economies, vol. 14(4), pages 520-558, December.
    3. Joon-Ho Hahm & Douglas G. Steigerwald, 1999. "Consumption Adjustment under Time-Varying Income Uncertainty," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 32-40, February.
    4. Joachim Frick & Kristina Krell, 2011. "Einkommensmessungen in Haushaltspanelstudien für Deutschland: Ein Vergleich von EU-SILC und SOEP," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(3), pages 221-248, December.
    5. Joachim R. Frick & Markus M. Grabka, 2007. "Item Non-response and Imputation of Annual Labor Income in Panel Surveys from a Cross-National Perspective," SOEPpapers on Multidisciplinary Panel Data Research 49, DIW Berlin, The German Socio-Economic Panel (SOEP).
    6. Hoddinott, John & Quisumbing, Agnes, 2003. "Methods for microeconometric risk and vulnerability assessments," Social Protection Discussion Papers and Notes 29138, The World Bank.
    7. Günther, Isabel & Harttgen, Kenneth, 2009. "Estimating Households Vulnerability to Idiosyncratic and Covariate Shocks: A Novel Method Applied in Madagascar," World Development, Elsevier, vol. 37(7), pages 1222-1234, July.
    8. Raghbendra Jha & Tu Dang, 2008. "Vulnerability to poverty in Papua New Guinea," Departmental Working Papers 2008-08, The Australian National University, Arndt-Corden Department of Economics.
    9. Ligon, Ethan & Schechter, Laura, 2004. "Evaluating different approaches to estimating vulnerability," Social Protection Discussion Papers and Notes 30159, The World Bank.
    10. Ethan Ligon & Laura Schechter, 2003. "Measuring Vulnerability," Economic Journal, Royal Economic Society, vol. 113(486), pages 95-102, March.
    11. Selten, Reinhard, 1991. "Properties of a measure of predictive success," Mathematical Social Sciences, Elsevier, vol. 21(2), pages 153-167, April.
    12. Pritchett, Lant & Suryahadi, Asep & Sumarto, Sudarno, 2000. "Quantifying vulnerability to poverty - a proposed measure, applied to Indonesia," Policy Research Working Paper Series 2437, The World Bank.
    13. Annelies Debels & Leen Vandecasteele, 2008. "The Time Lag In Annual Household‐Based Income Measures: Assessing And Correcting The Bias," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(1), pages 71-88, March.
    14. 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.
    15. Asep Suryahadi & Sudarno Sumarto, 2003. "Poverty and Vulnerability in Indonesia Before and After the Economic Crisis," Asian Economic Journal, East Asian Economic Association, vol. 17(1), pages 45-64, March.
    16. Lusardi, Annamaria, 1996. "Permanent Income, Current Income, and Consumption: Evidence from Two Panel Data Sets," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 81-90, January.
    17. Joachim R. Frick & Stephen P. Jenkins & Dean R. Lillard & Oliver Lipps & Mark Wooden, 2008. "Die internationale Einbettung des Sozio-oekonomischen Panels (SOEP) im Rahmen des Cross-National Equivalent File (CNEF)," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 77(3), pages 110-129.
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    Cited by:

    1. Klasen, Stephan & Meyer, Katrin M. & Dislich, Claudia & Euler, Michael & Faust, Heiko & Gatto, Marcel & Hettig, Elisabeth & Melati, Dian N. & Jaya, I. Nengah Surati & Otten, Fenna & Pérez-Cruzado, Cés, 2016. "Economic and ecological trade-offs of agricultural specialization at different spatial scales," Ecological Economics, Elsevier, vol. 122(C), pages 111-120.
    2. Stephan Klasen & Simon Lange, 2015. "Targeting Performance and Poverty Effects of Proxy Means-Tested Transfers: Trade-offs and Challenges," Ibero America Institute for Econ. Research (IAI) Discussion Papers 231, Ibero-America Institute for Economic Research.
    3. Zhang Huafeng, 2016. "Household vulnerability and economic status during disaster recovery and its determinants: a case study after the Wenchuan earthquake," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(3), pages 1505-1526, September.
    4. Jehane Simona-Moussa, 2020. "The Subjective Well-Being of Those Vulnerable to Poverty in Switzerland," Journal of Happiness Studies, Springer, vol. 21(5), pages 1561-1580, June.
    5. 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.

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    More about this item

    Keywords

    vulnerability; poverty; ROC; German panel data;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O29 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Other

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