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Estimating Vulnerability to Poverty using Panel data: Evidence from Indonesia

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  • Adama Bah

    (CERDI - Centre d'Études et de Recherches sur le Développement International - UdA - Université d'Auvergne - Clermont-Ferrand I - CNRS - Centre National de la Recherche Scientifique)

Abstract

Traditional poverty measures fail to indicate the degree of risk of becoming or remaining poor that households are confronted to. They can therefore be misleading in the context of implementing poverty reduction policies. In this paper I propose a method to estimate an index of ex ante vulnerability to poverty, defined as the probability of being poor in the (near) future given current observable characteristics, using panel data. This method relies on the estimation of the expected mean and variance of future consumption conditional on current consumption and observable characteristics. It generates a vulnerability index, or predicted probability of future poverty, which performs well in predicting future poverty, including out of sample. About 80% of households with a 2000 vulnerability index of 100% are actually poor in 2007. This approach provides information on the population groups that have a high probability of becoming or remaining poor in the future, whether currently poor or not. It is therefore useful to complement traditional poverty measures such as the poverty headcount, in particular for the design and planning of poverty reduction policies.

Suggested Citation

  • Adama Bah, 2015. "Estimating Vulnerability to Poverty using Panel data: Evidence from Indonesia," CERDI Working papers halshs-00936199, HAL.
    • Handle: RePEc:hal:cdiwps:halshs-00936199
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00936199v3
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    References listed on IDEAS

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    1. Duncan Thomas & Elizabeth Frankenberg & James P. Smith, 2001. "Lost but Not Forgotten: Attrition and Follow-up in the Indonesia Family Life Survey," Journal of Human Resources, University of Wisconsin Press, vol. 36(3), pages 556-592.
    2. Adama BAH, 2013. "Finding the Best Indicators to Identify the Poor," Working Papers 201324, CERDI.
    3. Hoddinott, John & Quisumbing, Agnes, 2003. "Methods for microeconometric risk and vulnerability assessments," Social Protection Discussion Papers and Notes 29138, The World Bank.
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    7. Wenefrida Dwi Widyanti & Asep Suryahadi & Sudarno Sumarto & Athia Yumna, "undated". "The Relationship between Chronic Poverty and Household Dynamics: Evidence from Indonesia," Working Papers 339, Communications Section.
    8. 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.
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