IDEAS home Printed from https://ideas.repec.org/p/phd/dpaper/dp_2009-16.html
   My bibliography  Save this paper

Small Area Estimation of Poverty Statistics

Author

Listed:
  • Villa Juan-Albacea, Zita

Abstract

In response to high demands for lower level poverty estimates, the National Statistical Coordination Board releases provincial estimates, in addition to the national and regional, starting with the 1997 FIES. However, estimates of the coefficients of variation (CV) of several provincial estimates indicate that the resulting poverty measures are not reliable. Making a decision based on unreliable poverty statistics is very risky especially if the decision to be made relates to the welfare of poor families. Such unreliable poverty statistics may also lead to incorrect targeting of the right beneficiaries of the poverty alleviation program. Hence, this paper provides alternative ways of coming up with subnational statistics (i.e., provincial and municipal/city-level data) that yield lower CVs than those of the official ones. This refers to the small area estimation (SAE) technique, a model-based approach to produce provincial or even municipal-level data. With a good predicting model, the SAE technique has a lot of potential in providing reliable subnational estimates for poverty reduction efforts.

Suggested Citation

  • Villa Juan-Albacea, Zita, 2009. "Small Area Estimation of Poverty Statistics," Discussion Papers DP 2009-16, Philippine Institute for Development Studies.
  • Handle: RePEc:phd:dpaper:dp_2009-16
    as

    Download full text from publisher

    File URL: https://serp-p.pids.gov.ph/serp-p/download.php?d=4482&s=3
    Download Restriction: no

    References listed on IDEAS

    as
    1. Ravallion, Martin & Lokshin, Michael, 2003. "On the utility consistency of poverty lines," Policy Research Working Paper Series 3157, The World Bank.
    Full references (including those not matched with items on IDEAS)

    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:phd:dpaper:dp_2009-16. 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: (Aniceto Orbeta). General contact details of provider: http://edirc.repec.org/data/pidgvph.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.

    We have no references for this item. You can help adding them by using 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.