IDEAS home Printed from https://ideas.repec.org/a/eee/wdevel/v28y2000i2p319-331.html
   My bibliography  Save this article

Generating Disaggregated Poverty Maps: An Application to Vietnam

Author

Listed:
  • Minot, Nicholas

Abstract

No abstract is available for this item.

Suggested Citation

  • Minot, Nicholas, 2000. "Generating Disaggregated Poverty Maps: An Application to Vietnam," World Development, Elsevier, vol. 28(2), pages 319-331, February.
    • Handle: RePEc:eee:wdevel:v:28:y:2000:i:2:p:319-331
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0305-750X(99)00126-6
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Glewwe, Paul & van der Gaag, Jacques, 1990. "Identifying the poor in developing countries: Do different definitions matter?," World Development, Elsevier, vol. 18(6), pages 803-814, June.
    2. Baker, Judy L. & Grosh, Margaret E., 1994. "Poverty reduction through geographic targeting: How well does it work?," World Development, Elsevier, vol. 22(7), pages 983-995, July.
    3. Wodon, Quentin T., 1997. "Targeting the poor using ROC curves," World Development, Elsevier, vol. 25(12), pages 2083-2092, December.
    4. Grosh, M.E. & Munoz, J., 1996. "A Manual for Planning and Implementing the Living Standards Measurement Study Survey," Papers 126, World Bank - Living Standards Measurement.
    5. Grosh, M.E. & Baker, J.L., 1995. "Proxy Means Tests for Targetting Social Programs. Simulations and Speculation," Papers 118, World Bank - Living Standards Measurement.
    6. Datt, Gaurav & Ravallion, Martin, 1990. "Regional disparities, targeting, and poverty in India," Policy Research Working Paper Series 375, The World Bank.
    7. Glewwe, P. & Kanaan, O., 1989. "Targeting Assistance to the Poor: A Multivariate Approach Using Household Survey Data," Papers 94, Warwick - Development Economics Research Centre.
    8. Ravallion, Martin & Wodon, Quentin, 1997. "Poor areas, or only poor people?," Policy Research Working Paper Series 1798, The World Bank.
    9. Glewwe, P., 1990. "Efficient Allocation Of Transfers To The Poor: The Problem Of Unobserved Household Income," Papers 70, World Bank - Living Standards Measurement.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Christophe Muller & Sami Bibi, 2006. "Focused Targeting against Poverty Evidence from Tunisia," IDEP Working Papers 0602, Institut d'economie publique (IDEP), Marseille, France, revised Apr 2006.
    2. Minot, Nicholas, 1998. "Generating disaggregated poverty maps," MTID discussion papers 25, International Food Policy Research Institute (IFPRI).
    3. Christophe Muller, 2007. "Anti-Poverty Transfers without Riots in Tunisia," Working Papers DT/2007/08, DIAL (Développement, Institutions et Mondialisation).
    4. Christophe Muller, 2008. "Anti-Poverty Transfers and Spatial Prices in Tunisia," Discussion Papers 08/13, University of Nottingham, CREDIT.
    5. Stoeffler, Quentin & Mills, Bradford & del Ninno, Carlo, 2016. "Reaching the Poor: Cash Transfer Program Targeting in Cameroon," World Development, Elsevier, vol. 83(C), pages 244-263.
    6. repec:dau:papers:123456789/4334 is not listed on IDEAS
    7. Emily Aiken & Suzanne Bellue & Dean Karlan & Christopher R. Udry & Joshua Blumenstock, 2021. "Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance," NBER Working Papers 29070, National Bureau of Economic Research, Inc.
    8. Christophe Muller & Sami Bibi, 2010. "Refining Targeting against Poverty Evidence from Tunisia," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(3), pages 381-410, June.
    9. Paul Makdissi & Quentin Wodon, 2004. "Measuring Poverty Reduction and Targeting Performance Under Multiple Government Programs," Review of Development Economics, Wiley Blackwell, vol. 8(4), pages 573-582, November.
    10. Hyman, Glenn & Larrea, Carlos & Farrow, Andrew, 2005. "Methods, results and policy implications of poverty and food security mapping assessments," Food Policy, Elsevier, vol. 30(5-6), pages 453-460.
    11. Sudharshan Canagarajah & Mr. Saji Thomas, 2002. "Poverty in a Wealthy Economy: The Case of Nigeria," IMF Working Papers 2002/114, International Monetary Fund.
    12. Paolo Verme, 2023. "Predicting Poverty with Missing Incomes," Working Papers 642, ECINEQ, Society for the Study of Economic Inequality.
    13. Claudio A. Agostini & Philip H. Brown, 2011. "Cash Transfers And Poverty Reduction In Chile," Journal of Regional Science, Wiley Blackwell, vol. 51(3), pages 604-625, August.
    14. Bibi Sami, 2003. "On the Impact of Better Targeted Transfers on Poverty in Tunisia," Review of Middle East Economics and Finance, De Gruyter, vol. 1(1), pages 17-35, January.
    15. Datt, Gaurav & Gunewardena, Dileni, 1997. "Some aspects of poverty in Sri Lanka : 1985-90," Policy Research Working Paper Series 1738, The World Bank.
    16. Aguila, Emma & Kapteyn, Arie & Tassot, Caroline, 2017. "Designing cash transfer programs for an older population: The Mexican case," The Journal of the Economics of Ageing, Elsevier, vol. 9(C), pages 111-121.
    17. Duclos, Jean-Yves & Makdissi, Paul & Wodon, Quentin, 2005. "Poverty-dominant program reforms: the role of targeting and allocation rules," Journal of Development Economics, Elsevier, vol. 77(1), pages 53-73, June.
    18. Bigman, David & Srinivasan, P. V., 2002. "Geographical targeting of poverty alleviation programs: methodology and applications in rural India," Journal of Policy Modeling, Elsevier, vol. 24(3), pages 237-255, June.
    19. Miguel Székely, 1997. "Opciones de políticas para la paliación de la pobreza," Research Department Publications 4063, Inter-American Development Bank, Research Department.
    20. Tieguhong, Julius Chupezi & Grouwels, Sophie & Ndoye, Ousseynou & Mala, Armand William & Fokou Sakam, Ignace & Useni, Marcel & Betti, Jean Lagarde, 2012. "Financial status of small and medium scale enterprises based on non-wood forest products (NWFP) in Central Africa," Forest Policy and Economics, Elsevier, vol. 20(C), pages 112-119.
    21. Ramses H. Abul Naga, 1994. "Identifying the Poor: A Multiple Indicator Approach," STICERD - Distributional Analysis Research Programme Papers 09, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:wdevel:v:28:y:2000:i:2:p:319-331. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/worlddev .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.