IDEAS home Printed from https://ideas.repec.org/a/bla/obuest/v72y2010i3p381-410.html
   My bibliography  Save this article

Refining Targeting against Poverty Evidence from Tunisia

Author

Listed:
  • Christophe Muller
  • Sami Bibi

Abstract

We introduce a new methodology to target direct transfers against poverty. Our method is based on estimation methods that focus on the poor. Using data from Tunisia, we estimate ‘focused’ transfer schemes that highly improve anti‐poverty targeting performances. Post‐transfer poverty can be substantially reduced with the new estimation method. For example, a one‐third reduction in poverty severity from proxy‐means test transfer schemes based on OLS method to focused transfer schemes requires only a few hours of computer work based on methods available on popular statistical packages. Finally, the obtained levels of undercoverage of the poor are particularly low.

Suggested Citation

  • 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.
  • Handle: RePEc:bla:obuest:v:72:y:2010:i:3:p:381-410
    DOI: 10.1111/j.1468-0084.2010.00583.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1468-0084.2010.00583.x
    Download Restriction: no

    References listed on IDEAS

    as
    1. Muller, Christophe, 2002. "Prices and living standards: evidence for Rwanda," Journal of Development Economics, Elsevier, vol. 68(1), pages 187-203, June.
    2. Datt, Gaurav & Ravallion, Martin, 1994. "Transfer Benefits from Public-Works Employment: Evidence for Rural India," Economic Journal, Royal Economic Society, vol. 104(427), pages 1346-1369, November.
    3. van de Walle, Dominique, 1998. "Assessing the welfare impacts of public spending," World Development, Elsevier, vol. 26(3), pages 365-379, March.
    4. Datt, Gaurav & Jolliffe, Dean, 2005. "Poverty in Egypt: Modeling and Policy Simulations," Economic Development and Cultural Change, University of Chicago Press, vol. 53(2), pages 327-346, January.
    5. Pollak, Robert A & Wales, Terence J, 1979. "Welfare Comparisons and Equivalence Scales," American Economic Review, American Economic Association, vol. 69(2), pages 216-221, May.
    6. de Janvry, Alain & Finan, Frederico & Sadoulet, Elisabeth & Vakis, Renos, 2006. "Can conditional cash transfer programs serve as safety nets in keeping children at school and from working when exposed to shocks?," Journal of Development Economics, Elsevier, vol. 79(2), pages 349-373, April.
    7. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    8. Alain de Janvry & Elisabeth Sadoulet, 2006. "Making Conditional Cash Transfer Programs More Efficient: Designing for Maximum Effect of the Conditionality," World Bank Economic Review, World Bank Group, vol. 20(1), pages 1-29.
    9. Glewwe, Paul, 1992. "Targeting assistance to the poor : Efficient allocation of transfers when household income is not observed," Journal of Development Economics, Elsevier, vol. 38(2), pages 297-321, April.
    10. Stephen Pudney, 1999. "On Some Statistical Methods for Modelling the Incidence of Poverty," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(3), pages 385-408, August.
    11. Hahn, Jinyong, 1995. "Bootstrapping Quantile Regression Estimators," Econometric Theory, Cambridge University Press, vol. 11(1), pages 105-121, February.
    12. Emmanuel Skoufias & David P. Coady, 2007. "Are the Welfare Losses from Imperfect Targeting Important?," Economica, London School of Economics and Political Science, vol. 74(296), pages 756-776, November.
    13. David Coady & Emmanuel Skoufias, 2004. "On the Targeting and Redistributive Efficiencies of Alternative Transfer Instruments," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 50(1), pages 11-27, March.
    14. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    15. Powell, James L., 1986. "Censored regression quantiles," Journal of Econometrics, Elsevier, vol. 32(1), pages 143-155, June.
    16. Glewwe, P. & Kanaan, O., 1989. "Targeting Assistance to the Poor: A Multivariate Approach Using Household Survey Data," Papers 94, Warwick - Development Economics Research Centre.
    17. Park, Albert & Wang, Sangui & Wu, Guobao, 2002. "Regional poverty targeting in China," Journal of Public Economics, Elsevier, vol. 86(1), pages 123-153, October.
    18. Cowell, Frank A. & Victoria-Feser, Maria-Pia, 1996. "Poverty measurement with contaminated data: A robust approach," European Economic Review, Elsevier, vol. 40(9), pages 1761-1771, December.
    19. 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.
    20. Grosh, M.E. & Baker, J.L., 1995. "Proxy Means Tests for Targetting Social Programs. Simulations and Speculation," Papers 118, World Bank - Living Standards Measurement.
    21. Ravallion, Martin & Chao, Kalvin, 1989. "Targeted policies for poverty alleviation under imperfect information: Algorithms and applications," Journal of Policy Modeling, Elsevier, vol. 11(2), pages 213-224.
    22. Schady, Norbert R, 2002. "Picking the Poor: Indicators for Geographic Targeting in Peru," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 48(3), pages 417-433, September.
    23. Slesnick, Daniel T, 1996. "Consumption and Poverty: How Effective Are In-Kind Transfers?," Economic Journal, Royal Economic Society, vol. 106(439), pages 1527-1545, November.
    24. David Coady, 2004. "Targeting Outcomes Redux," World Bank Research Observer, World Bank Group, vol. 19(1), pages 61-85.
    25. Christophe Muller, 2002. "Censored Quantile Regressions of Chronic and Transient Seasonal Poverty in Rwanda," Journal of African Economies, Centre for the Study of African Economies (CSAE), vol. 11(4), pages 503-541, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sajjad & Zahoor Ul Haq & Zia Ullah, 2018. "Food Price Subsidy and its Effects on Poverty in Khyber Pakhtunkhwa, Pakistan," Global Social Sciences Review, Humanity Only, vol. 3(3), pages 54-73, September.
    2. Tae-Hwan Kim & Christophe Muller, 2020. "Inconsistency transmission and variance reduction in two-stage quantile regression," Post-Print hal-02084505, HAL.
    3. Christophe Muller, 2019. "Linear Quantile Regression and Endogeneity Correction," Working Papers halshs-02272874, HAL.
    4. Christophe Muller & Asha Kannan & Roland Alcindor, 2016. "Multidimensional Poverty in Seychelles," AMSE Working Papers 1601, Aix-Marseille School of Economics, France, revised Jan 2016.
    5. Brown, Caitlin & Ravallion, Martin & van de Walle, Dominique, 2018. "A poor means test? Econometric targeting in Africa," Journal of Development Economics, Elsevier, vol. 134(C), pages 109-124.
    6. Nasri, Khaled, 2020. "Social Safety Nets in Tunisia: Do Benefits Reach the Poor and Vulnerable households at the Regional Level?," GLO Discussion Paper Series 440, Global Labor Organization (GLO).
    7. Mohamed Amara & Hatem Jemmali, 2018. "Household and Contextual Indicators of Poverty in Tunisia: A Multilevel Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(1), pages 113-138, May.
    8. Adama Bah & Samuel Bazzi & Sudarno Sumarto & Julia Tobias, 2019. "Finding the Poor vs. Measuring Their Poverty: Exploring the Drivers of Targeting Effectiveness in Indonesia," World Bank Economic Review, World Bank Group, vol. 33(3), pages 573-597.
    9. 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.
    10. Christophe Muller, 2019. "Linear Quantile Regression and Endogeneity Correction," Post-Print hal-02618513, HAL.
    11. Ragui Assaad & Samir Ghazouani & Caroline Krafft, 2017. "The Composition of Labor Supply and Unemployment in Tunisia," Working Papers 1150, Economic Research Forum, revised 11 Jan 2017.
    12. Juan M Villa, 2016. "A harmonised proxy means test for Kenya’s National Safety Net programme," Global Development Institute Working Paper Series 032016, GDI, The University of Manchester.
    13. Eirini Andriopoulou & Apostolos Fasianos & Athanassios Petralias, 2019. "Estimation of the adequate living expenses threshold during the Greek crisis," Working Papers 261, Bank of Greece.

    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:bla:obuest:v:72:y:2010:i:3:p:381-410. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley Content Delivery). General contact details of provider: http://edirc.repec.org/data/sfeixuk.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.