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Estimating Expenditure-Based Poverty from the Bangladesh Demographic and Health Survey

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  • Schreiner, Mark

    (Senior Scholar, Center for Social Development, Washington University in Saint Louis, Campus Box 1196, One Bro okings Drive, Saint Louis, MO 63130–4899, U.S.A.)

Abstract

It is widely believed that inequalities in health a re related with poverty but formal analysis of the health$poverty nexus is hampered by data constraints. In particular, the most common measure of poverty compares expenditure with poverty lines, but expenditure surveys usually do not collect detailed health data. Conversely, the large repository of internationally comparable Demographic and Health Surveys has detailed health data but no expenditure data. This has led DHS researchers to control socioeconomic status using an asset index defined in terms of housing characteristics and ownership of durable goods. While this may be a valid conception of poverty, it is difficult to compare the asset$based measure with the more common consumption$ based measure. This paper presents a simple poverty scorecard for Bangladesh that allows researchers to estimate the likelihood that expenditure is below a given poverty line using ten verifiable, inexpensive$ to$collect indicators found in both Bangladesh’s 20 04 DHS and also in the 2005 Household Income and Expenditure Survey. The estimates of poverty from the scorecard are then compared with those of the DHS asset index.

Suggested Citation

  • Schreiner, Mark, 2011. "Estimating Expenditure-Based Poverty from the Bangladesh Demographic and Health Survey," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 34(4), pages 65-94, December.
    • Handle: RePEc:ris:badest:0528
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    References listed on IDEAS

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    1. Carlo Azzarri & Gero Carletto & Benjamin Davis & Alberto Zezza, 2006. "Monitoring Poverty Without Consumption Data : An Application Using the Albania Panel Survey," Eastern European Economics, Taylor & Francis Journals, vol. 44(1), pages 59-82, February.
    2. Booysen, Frikkie & van der Berg, Servaas & Burger, Ronelle & Maltitz, Michael von & Rand, Gideon du, 2008. "Using an Asset Index to Assess Trends in Poverty in Seven Sub-Saharan African Countries," World Development, Elsevier, vol. 36(6), pages 1113-1130, June.
    3. Elbers, Chris & Lanjouw, Peter & Leite, Phillippe George, 2008. "Brazil within Brazil : testing the poverty map methodology in Minas Gerais," Policy Research Working Paper Series 4513, The World Bank.
    4. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
    5. David Stifel & Luc Christiaensen, 2007. "Tracking Poverty Over Time in the Absence of Comparable Consumption Data," The World Bank Economic Review, World Bank, vol. 21(2), pages 317-341, June.
    6. Dekker, Marlieen, 2008. "Estimating Wealth effects without expenditure Data: Evidence From rural Ethiopia," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 15(1), pages 1-85, May.
    7. David E. Sahn & David Stifel, 2003. "Exploring Alternative Measures of Welfare in the Absence of Expenditure Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 49(4), pages 463-489, December.
    8. Michael Carter & Christopher Barrett, 2006. "The economics of poverty traps and persistent poverty: An asset-based approach," Journal of Development Studies, Taylor & Francis Journals, vol. 42(2), pages 178-199.
    9. Yoko Kijima & Lanjouw, Peter, 2003. "Poverty in India during the1990s - a regional perspective," Policy Research Working Paper Series 3141, The World Bank.
    10. Adam Wagstaff & Naoko Watanabe, 2003. "What difference does the choice of SES make in health inequality measurement?," Health Economics, John Wiley & Sons, Ltd., vol. 12(10), pages 885-890, October.
    11. Magnus Lindelow, 2006. "Sometimes more equal than others: how health inequalities depend on the choice of welfare indicator," Health Economics, John Wiley & Sons, Ltd., vol. 15(3), pages 263-279, March.
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    Cited by:

    1. Vladimir Milovanovic & Luboš Smutka & Gent Jusufi, 2016. "Cooperative Farming Potential for Establishing Food Security within Rural Bangladesh," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 64(6), pages 2067-2074.
    2. Headey, Derek & Hoddinott, John & Ali, Disha & Tesfaye, Roman & Dereje, Mekdim, 2015. "The Other Asian Enigma: Explaining the Rapid Reduction of Undernutrition in Bangladesh," World Development, Elsevier, vol. 66(C), pages 749-761.

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    More about this item

    Keywords

    Poverty; Poverty line; Poverty rates; Development studies; Estimate reliability; World Bank; Health outcomes; Economic indices; Purchasing power parity; Agricultural land;
    All these keywords.

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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