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Education and the Vulnerability to Food Inadequacy in Timor-Leste

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  • Raghbendra Jha
  • Tu Dang

Abstract

This paper adopts a simple empirical approach to estimate vulnerability to food inadequacy using cross-section data from the 2001 Timor-Leste Living Standard Measurement Survey. This measurement is based on the assumption that households are exposed to the same kind of shock. It is found that the distribution of vulnerability to food inadequacy to the education of household head is more significant than that to observed food poverty. The results support the argument that senior primary and tertiary education can help reduce the food risk that households face, in particular the risk that a household is undernourished. Thus, in Timor-Leste public spending on these forms of education can provide a form of support that favours the poor.

Suggested Citation

  • Raghbendra Jha & Tu Dang, 2012. "Education and the Vulnerability to Food Inadequacy in Timor-Leste," Oxford Development Studies, Taylor & Francis Journals, vol. 40(3), pages 341-357, January.
  • Handle: RePEc:taf:oxdevs:v:40:y:2012:i:3:p:341-357
    DOI: 10.1080/13600818.2012.706275
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    References listed on IDEAS

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    1. Pritchett, Lant & Suryahadi, Asep & Sumarto, Sudarno, 2000. "Quantifying vulnerability to poverty - a proposed measure, applied to Indonesia," Policy Research Working Paper Series 2437, The World Bank.
    2. Pasquale Scaramozzino, 2006. "Measuring Vulnerability to Food Insecurity," Working Papers 06-12, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
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    1. repec:spr:soinre:v:134:y:2017:i:1:d:10.1007_s11205-016-1419-x is not listed on IDEAS
    2. GRIES, Thomas & PALNAU, Irene, 2016. "Distress Beyond Poverty: Spatial Patterns And Geographic Aspects Of Vulnerability In Brazil," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 16(2), pages 53-70.

    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

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