Advanced Search
MyIDEAS: Login

Proxy Means Tests for Targeting the Poorest Households -- Applications to Uganda

Contents:

Author Info

  • Houssou, Nazaire
  • Zeller, Manfred
  • Alcaraz V., Gabriela
  • Schwarze, Stefan
  • Johannsen, Julia

Abstract

The motivation for this research stems from increasing interest showed for the issue of targeting. The paper explores the use of proxy means tests to identify the poorest households in Uganda. The set of indicators used in our model includes variables usually available in Living Standard Measurement Surveys (LSMS). Previous researches seeking to develop proxy means tests for poverty most often use Ordinary Least Squares (OLS) as regression method. In addition to the OLS, the paper explores the use of Linear Probability Model, Probit, and Quantile regressions for correctly predicting the household poverty status. A further innovation of this research compared to the existing literature is the use of out-of sample validation tests to assess the predictive power and hence the robustness of the identified set of regressors. Moreover, the confidence intervals are approximated out-of sample using the bootstrap algorithm and the percentile method. The main conclusion that emerges from this research is that measures of absolute poverty estimated with Quantile regression can yield fairly accurate in-sample predictions of absolute poverty in a nationally representative sample. On the other hand, the OLS and Probit perform better out-of sample. Besides it complexity, the Quantile regression is less robust. The Probit may be the best alternative for optimizing both accuracy and robustness of a poverty assessment tool. The best regressor sets and their derived weights can be used in a range of applications, including the identification of the poorest households in the country, the assessment of poverty outreach of Microfinance Institutions (MFIs), and the measurement of poverty and welfare impacts of agricultural development projects. To confirm or reject the conclusions in this paper, future research using datasets from other countries is needed.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://purl.umn.edu/7946
Download Restriction: no

Bibliographic Info

Paper provided by European Association of Agricultural Economists in its series 106th Seminar, October 25-27, 2007, Montpellier, France with number 7946.

as in new window
Length:
Date of creation: 2007
Date of revision:
Handle: RePEc:ags:eaa106:7946

Contact details of provider:
Email:
Web page: http://www.eaae.org
More information through EDIRC

Related research

Keywords: Uganda; poverty assessment; targeting; proxy means test; out-of-sample test; bootstrap; Consumer/Household Economics; Food Security and Poverty;

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Grootaert, Christiaan & Braithwaite, Jeanine, 1998. "Poverty correlates and indicator-based targeting in Eastern Europe and the Former Soviet Union," Policy Research Working Paper Series 1942, The World Bank.
  2. Zeller, Manfred & Sharma, Manohar & Henry, Carla & Lapenu, Cecile, 2006. "An operational method for assessing the poverty outreach performance of development policies and projects: Results of case studies in Africa, Asia, and Latin America," World Development, Elsevier, vol. 34(3), pages 446-464, March.
  3. Ahmed, Akhter U. & Rashid, Shahidur & Sharma, Manohar & Zohir, Sajjad, 2004. "Food aid distribution in Bangladesh," FCND briefs 173, International Food Policy Research Institute (IFPRI).
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 in new window

Cited by:
  1. Dmytro Boyarchuk & Liudmyla Kotusenko & Katarzyna Pietka-Kosinska & Roman Semko & Irina Sinitsina, 2009. "Agriculture Income Assessment for the Purpose of Social Assistance: the Case of Ukraine," CASE Network Studies and Analyses 0399, CASE-Center for Social and Economic Research.
  2. Barrios, Erniel B. & Mina, Christian D., 2009. "Profiling Poverty with Multivariate Adaptive Regression Splines," Discussion Papers DP 2009-29, Philippine Institute for Development Studies.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:ags:eaa106:7946. 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: (AgEcon Search).

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 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.