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Vulnerability to Poverty: A Microeconometric Approach and Application to the Republic of Haiti

Author

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  • Evans Jadotte

    () (Departament d'Economia Aplicada, Universitat Autonoma de Barcelona)

Abstract

This paper investigates vulnerability to poverty in Haiti. Research in vulnerability in developing countries has been scarce due to the high data requirements of vulnerability studies (e.g. panel or long series of cross-sections). The methodology adopted here allows the assessment of vulnerability to poverty by exploiting the short panel structure of nested data at different levels. The decomposition method reveals that vulnerability in Haiti is largely a rural phenomenon and that schooling correlates negatively with vulnerability. Most importantly, among the different shocks affecting household’s income, it is found that meso-level shocks are in general far more important than covariate shocks. This finding points to some interesting policy implications in decentralizing policies to alleviate vulnerability to poverty.

Suggested Citation

  • Evans Jadotte, 2010. "Vulnerability to Poverty: A Microeconometric Approach and Application to the Republic of Haiti," Working Papers wpdea1004, Department of Applied Economics at Universitat Autonoma of Barcelona.
  • Handle: RePEc:uab:wprdea:wpdea1004
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    References listed on IDEAS

    as
    1. Kenneth Harttgen & Isabel Günther, 2007. "Estimating Vulnerability to Covariate and Idiosyncratic Shocks," Ibero America Institute for Econ. Research (IAI) Discussion Papers 154, Ibero-America Institute for Economic Research.
    2. Bali Swain, Ranjula & Floro, Maria, 2007. "Effect of Microfinance on Vulnerability, Poverty and Risk in Low Income Households," Working Paper Series 2007:31, Uppsala University, Department of Economics.
    3. Ravallion, Martin, 1988. "Expected Poverty under Risk-Induced Welfare Variability," Economic Journal, Royal Economic Society, vol. 98(393), pages 1171-1182, December.
    4. Sophia Rabe-Hesketh & Anders Skrondal, 2012. "Multilevel and Longitudinal Modeling Using Stata, 3rd Edition," Stata Press books, StataCorp LP, edition 3, number mimus2, April.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. 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

    Keywords

    vulnerability; poverty; hierarchical model; Republic of Haiti.;

    JEL classification:

    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • I39 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Other
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General

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