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Combining Light Monitoring Surveys with Integrated Surveys to Improve Targeting for Poverty Reduction: The Case of Ghana

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  • Fofack, Hippolyte

Abstract

Policymakers use poverty maps to design and assess poverty programs. The accuracy of these maps, which is critical for targeting, depends largely on the nature of the instrument used to construct them. Recently, in response to tight budget constraints, many countries have begun to construct poverty maps based on light monitoring surveys that rely on short questionnaires. This article shows that poverty maps constructed from such surveys are not accurate and could result in substantial leakage. Light monitoring surveys do include large samples that can help to target poverty programs at subregional levels. Combining these surveys with more detailed Integrated Surveys can help researchers reduce targeting errors significantly and build improved poverty maps with finer levels of disaggregation. Copyright 2000 by Oxford University Press.

Suggested Citation

  • Fofack, Hippolyte, 2000. "Combining Light Monitoring Surveys with Integrated Surveys to Improve Targeting for Poverty Reduction: The Case of Ghana," The World Bank Economic Review, World Bank, vol. 14(1), pages 195-219, January.
    • Handle: RePEc:oup:wbecrv:v:14:y:2000:i:1:p:195-219
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    Citations

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    Cited by:

    1. Astrid Mathiassen, 2006. "A Statistical Model for Simple, Fast and Reliable Measurement of Poverty. A revised version of DP 415," Discussion Papers 415, Statistics Norway, Research Department.
    2. 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.
    3. William Ascher, 2021. "Coping with intelligence deficits in poverty-alleviation policies in low-income countries," Policy Sciences, Springer;Society of Policy Sciences, vol. 54(2), pages 345-370, June.
    4. AGENOR Pierre-Richard & IZQUIERDO Alejandro & FOFACK Hippolyte, 2010. "IMMPA: A Quantitative Macroeconomic Framework for the Analysis of Poverty Reduction Strategies," EcoMod2003 330700003, EcoMod.
    5. Graw, Valerie & Husmann, Christine Ladenburger, 2012. "Mapping Marginality Hotspots – Geographical Targeting for Poverty Reduction," Working Papers 147917, University of Bonn, Center for Development Research (ZEF).
    6. Emmanuel Fiadzo & Jack Houston & Deborah Godwin, 2001. "Estimating Housing Quality for Poverty and Development Policy Analysis: CWIQ in Ghana," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 53(2), pages 137-162, February.
    7. Dan Li & Tracy Hruska & Shalima Talinbayi & Wenjun Li, 2018. "Changing Agro-Pastoral Livelihoods under Collective and Private Land Use in Xinjiang, China," Sustainability, MDPI, vol. 11(1), pages 1-20, December.
    8. Agenor, Pierre-Richard & Izquierdo, Alejandro & Fofack, Hippolyte, 2003. "The integrated macroeconomic model for poverty analysis : a quantitative macroeconomic framework for the analysis of poverty reduction strategies," Policy Research Working Paper Series 3092, The World Bank.
    9. Fofack, Hippolyte & Monga, Celestin & Tuluy, Hasan, 2001. "Household welfare and poverty dynamics in Burkina Faso : empirical evidence from household surveys," Policy Research Working Paper Series 2590, The World Bank.
    10. Astrid Mathiassen, 2009. "A model based approach for predicting annual poverty rates without expenditure data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 7(2), pages 117-135, June.
    11. Fofack,Hippolyte L., 2002. "The nature and dynamics of poverty determinants in Burkina Faso in the 1990s," Policy Research Working Paper Series 2847, The World Bank.

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