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Alternative approaches to locating the food insecure

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  • Chung, Kimberly
  • Haddad, Lawrence James
  • Ramakrishna, Jayashree
  • Riely, Frank Z.

Abstract

This paper reports on two methods used for identifying alternative indicators of chronic and acute food insecurity. A need for alternative indicators exists since many of the "benchmark" or "gold standard" indicators (such as household income or dietary intake) are too cumbersome to be of practical use in food aid targeting. The ideal alternative indicator should be statistically reliable, yet straightforward to collect and analyze. The study uses data collected in four villages in the Indian Semi-Arid Tropics to illustrate two methods for identifying the alternative indicators. A qualitative methodology included ethnographic case studies of at-risk households, participatory mapping of vulnerable households within a community, food charts, and seasonality charts. The quantitative methods included both economic and nutrition surveys. The data were collected over three rounds in 1992-93 from 324 households in south-central India.For the qualitative work, both the villagers' perceptions of food insecurity as well as the ethnographers' observations were used to generate a list of indicators for these areas.

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Bibliographic Info

Paper provided by International Food Policy Research Institute (IFPRI) in its series FCND discussion papers with number 22.

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Date of creation: 1997
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Handle: RePEc:fpr:fcnddp:22

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Keywords: Food security India. ; Nutrition Research. ; Food aid ;

References

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  1. Glewwe, P. & Kanaan, O., 1989. "Targeting Assistance to the Poor: A Multivariate Approach Using Household Survey Data," Papers 94, Warwick - Development Economics Research Centre.
  2. Reardon, Thomas & Matlon, Peter & Delgado, Christopher, 1988. "Coping with household-level food insecurity in drought-affected areas of Burkina Faso," World Development, Elsevier, vol. 16(9), pages 1065-1074, September.
  3. Bouis, Howarth E. & Haddad, Lawrence J., 1992. "Are estimates of calorie-income fxelasticities too high? : A recalibration of the plausible range," Journal of Development Economics, Elsevier, vol. 39(2), pages 333-364, October.
  4. Bentley, Margaret E., 1988. "The household management of childhood diarrhea in rural North India," Social Science & Medicine, Elsevier, vol. 27(1), pages 75-85, January.
  5. Ravallion, Martin, 1990. "On the coverage of public employment schemes for poverty alleviation," Journal of Development Economics, Elsevier, vol. 34(1-2), pages 57-79, November.
  6. Strauss, J. & Thomas, D., 1995. "Empirical Modeling of Household and Family Decisions," Papers 95-12, RAND - Reprint Series.
  7. Glewwe, Paul & van der Gaag, Jacques, 1990. "Identifying the poor in developing countries: Do different definitions matter?," World Development, Elsevier, vol. 18(6), pages 803-814, June.
  8. Strauss, John & Thomas, Duncan, 1995. "Human resources: Empirical modeling of household and family decisions," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 3, chapter 34, pages 1883-2023 Elsevier.
  9. Mahendra Dev, S. & Parikh, K.S. & Suryanarayana, M.H., 1991. "Rural Poverty in India: Incidence, Issues and Policies," Papers 55, Indira Gandhi Institute of Development Research-.
  10. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-66, May.
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Cited by:
  1. Babu, Suresh Chandra & Brown, Lynn R & McClafferty, Bonnie, 1997. "Systematic client consultation in development," FCND discussion papers 38, International Food Policy Research Institute (IFPRI).

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