IDEAS home Printed from https://ideas.repec.org/p/uct/uconnp/2005-44.html
   My bibliography  Save this paper

Determinants of Poverty in Kenya: A Household Level Analysis

Author

Listed:
  • Alemayehu Geda

    (Institute of Social Studies and Addis Ababa University)

  • Niek de Jong

    (Institute of Social Studies, The Hague)

  • Mwangi S. Kimenyi

    (University of Connecticut)

  • Germano Mwabu

    (University of Nairobi and Yale University)

Abstract

Strategies aimed at poverty reduction need to identify factors that are strongly associated with poverty and that are amenable to modification by policy. This article uses household level data collected in 1994 to examine probable determinants of poverty status, employing both binomial and polychotomous logit models. The study shows that poverty status is strongly associated with the level of education, household size and engagement in agricultural activity, both in rural and urban areas. In general, those factors that are closely associated with overall poverty according to the binomial model are also important in the ordered-logit model, but they appear to be even more important in tackling extreme poverty.

Suggested Citation

  • Alemayehu Geda & Niek de Jong & Mwangi S. Kimenyi & Germano Mwabu, 2005. "Determinants of Poverty in Kenya: A Household Level Analysis," Working papers 2005-44, University of Connecticut, Department of Economics.
  • Handle: RePEc:uct:uconnp:2005-44
    as

    Download full text from publisher

    File URL: http://web2.uconn.edu/economics/working/2005-44.pdf
    File Function: Full text
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Geda, A. & de Jong, N. & Mwabu, G. & Kimenyi, M.S., 2001. "Determinants of poverty in Kenya : a household level analysis," ISS Working Papers - General Series 19095, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    2. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
    3. Greer, Joel & Thorbecke, Erik, 1986. "A methodology for measuring food poverty applied to Kenya," Journal of Development Economics, Elsevier, vol. 24(1), pages 59-74, November.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Poverty; Kenya; Africa; Probability Models;

    JEL classification:

    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • N97 - Economic History - - Regional and Urban History - - - Africa; Oceania

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:uct:uconnp:2005-44. 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: (Mark McConnel). General contact details of provider: http://edirc.repec.org/data/deuctus.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.