IDEAS home Printed from https://ideas.repec.org/p/fpr/ifprid/971.html
   My bibliography  Save this paper

Asset versus consumption poverty and poverty dynamics in the presence of multiple equilibria in rural Ethiopia

Author

Listed:
  • Liverpool, Lenis Saweda O.
  • Winter-Nelson, Alex

Abstract

Effective poverty reduction programs require careful measurement of poverty status. Several studies have shown conceptually that assets reflecting productive capacity form a more robust basis for identifying the poor than do flow variables such as expenditures or income. Nonetheless, little work has empirically compared poverty measurements based on assets and expenditures. This paper uses panel data from Ethiopia to generate an asset-based poverty classification scheme. Regression results are used to estimate an asset index and classify households into categories of structural poverty. Asset index dynamics are also explored to test for the existence of multiple asset index equilibria; evidence of potential poverty traps. Results provide evidence of multiple equilibria in the study sample as a whole as well as convergence at different levels over space, depending on commercialization opportunities and agroecological factors. The asset-based poverty classifications consistently predict future poverty status more accurately than do income-based measures, confirming that the asset-based measure could be used to more carefully target poverty interventions in rural areas and to more accurately assess the impact of those interventions.

Suggested Citation

  • Liverpool, Lenis Saweda O. & Winter-Nelson, Alex, 2010. "Asset versus consumption poverty and poverty dynamics in the presence of multiple equilibria in rural Ethiopia," IFPRI discussion papers 971, International Food Policy Research Institute (IFPRI).
    • Handle: RePEc:fpr:ifprid:971
    as

    Download full text from publisher

    File URL: http://www.ifpri.org/sites/default/files/publications/ifpridp00971.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Quisumbing, Agnes R., 2003. "Food Aid and Child Nutrition in Rural Ethiopia," World Development, Elsevier, vol. 31(7), pages 1309-1324, July.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. Carter, Michael R. & May, Julian, 1999. "Poverty, livelihood and class in rural South Africa," World Development, Elsevier, vol. 27(1), pages 1-20, January.
    4. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    5. Hulme, David & Shepherd, Andrew, 2003. "Conceptualizing Chronic Poverty," World Development, Elsevier, vol. 31(3), pages 403-423, March.
    6. Pender, John L. & Fafchamps, Marcel, 2001. "Land lease markets and agricultural efficiency: theory and evidence from Ethiopia," EPTD discussion papers 81, International Food Policy Research Institute (IFPRI).
    7. Bob Baulch & John Hoddinott, 2000. "Economic mobility and poverty dynamics in developing countries," Journal of Development Studies, Taylor & Francis Journals, vol. 36(6), pages 1-24.
    8. Sahn, David E. & Stifel, David C., 2000. "Poverty Comparisons Over Time and Across Countries in Africa," World Development, Elsevier, vol. 28(12), pages 2123-2155, December.
    9. Stefan Dercon & Pramila Krishnan, 1998. "Changes in poverty in rural Ethiopia 1989-1995: measurement, robustness tests and decomposition," CSAE Working Paper Series 1998-07, Centre for the Study of African Economies, University of Oxford.
    10. Travis J. Lybbert & Christopher B. Barrett & Solomon Desta & D. Layne Coppock, 2004. "Stochastic wealth dynamics and risk management among a poor population," Economic Journal, Royal Economic Society, vol. 114(498), pages 750-777, October.
    11. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    12. Cutler, Peter, 1984. "The measurement of poverty: A review of attempts to quantify the poor, with special reference to India," World Development, Elsevier, vol. 12(11-12), pages 1119-1130.
    13. Michelle Adato & Michael Carter & Julian May, 2006. "Exploring poverty traps and social exclusion in South Africa using qualitative and quantitative data," Journal of Development Studies, Taylor & Francis Journals, vol. 42(2), pages 226-247.
    14. Tewodaj Mogues, 2005. "Shocks, Livestock Asset Dynamics, and Social Capital in Ethiopia," Development and Comp Systems 0512006, University Library of Munich, Germany.
    15. David E. Sahn & David Stifel, 2003. "Exploring Alternative Measures of Welfare in the Absence of Expenditure Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 49(4), pages 463-489, December.
    16. Michael Carter & Christopher Barrett, 2006. "The economics of poverty traps and persistent poverty: An asset-based approach," Journal of Development Studies, Taylor & Francis Journals, vol. 42(2), pages 178-199.
    17. Carter, Michael R. & May, Julian, 2001. "One Kind of Freedom: Poverty Dynamics in Post-apartheid South Africa," World Development, Elsevier, vol. 29(12), pages 1987-2006, December.
    18. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    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. L.B. Lokosang & S. Ramroop & T. Zewotir, 2014. "Indexing household resilience to food insecurity shocks: The case of South Sudan," Agrekon, Taylor & Francis Journals, vol. 53(2), pages 137-159, June.
    2. Mogues, Tewodaj & Petracco, Carly & Randriamamonjy, Josee, 2011. "The wealth and gender distribution of rural services in Ethiopia: A public expenditure benefit Incidence Analysis," ESSP working papers 33, International Food Policy Research Institute (IFPRI).
    3. Tsehay, Abrham Seyoum & Bauer, Siegfried, 2012. "Poverty and Vulnerability Dynamics: Empirical Evidence from Smallholders in Northern Highlands of Ethiopia," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 51(4), pages 1-32, November.
    4. Kanwal Zahra & Tasneem Zafar, 2015. "Marginality as a Root Cause of Urban Poverty: A Case Study of Punjab," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 54(4), pages 629-650.
    5. Annette N. Brown & Drew B. Cameron & Benjamin D. K. Wood, 2014. "Quality evidence for policymaking: I'll believe it when I see the replication," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 6(3), pages 215-235, September.
    6. Jolejole-Foreman, Maria Christina & Baylis, Katherine R. & Lipper, Leslie, 2012. "Land Degradation’s Implications on Agricultural Value of Production in Ethiopia: A look inside the bowl," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126251, International Association of Agricultural Economists.
    7. Tsehay, Abrham Seyoum & Bauer, Siegfried, 2012. "Poverty Dynamics and Vulnerability: Empirical Evidence from Smallholders in Northern Highlands of Ethiopia," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126873, International Association of Agricultural Economists.

    More about this item

    Keywords

    asset index; asset poverty; Commercialization; expenditures; income-based measures; index equilibria; Poverty dynamics; Poverty reduction; regression;

    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:fpr:ifprid:971. 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: (). General contact details of provider: http://edirc.repec.org/data/ifprius.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.