IDEAS home Printed from https://ideas.repec.org/p/uab/wprdea/wpdea1004.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ecap.uab.cat/RePEc/doc/wpdea1004.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Ravallion, Martin, 1988. "Expected Poverty under Risk-Induced Welfare Variability," Economic Journal, Royal Economic Society, vol. 98(393), pages 1171-1182, December.
    3. Sophia Rabe-Hesketh & Anders Skrondal, 2012. "Multilevel and Longitudinal Modeling Using Stata, 3rd Edition," Stata Press books, StataCorp LP, edition 3, number mimus2, March.
    4. 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.
    5. Olga Cantó & Coral del Río & Carlos Gradín, 2007. "What helps households with children in leaving poverty? Evidence from Spain," Research on Economic Inequality, in: Inequality and Poverty, pages 1-29, Emerald Group Publishing Limited.
    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. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. María Jesús Rodríguez-Gulías & David Rodeiro-Pazos & Sara Fernández-López & Manuel Ángel Nogueira-Moreiras, 2021. "The effect of regional resources on innovation: a firm-centered approach," The Journal of Technology Transfer, Springer, vol. 46(3), pages 760-791, June.
    2. Moorman, Sara M. & Carr, Kyle & Greenfield, Emily A., 2018. "Childhood socioeconomic status and genetic risk for poorer cognition in later life," Social Science & Medicine, Elsevier, vol. 212(C), pages 219-226.
    3. Babigumira, Ronnie & Angelsen, Arild & Buis, Maarten & Bauch, Simone & Sunderland, Terry & Wunder, Sven, 2014. "Forest Clearing in Rural Livelihoods: Household-Level Global-Comparative Evidence," World Development, Elsevier, vol. 64(S1), pages 67-79.
    4. Hentschel, Jesko & Lanjouw, Jean Olson & Lanjouw, Peter & Poggi, Javier, 1998. "Combining census and survey data to study spatial dimensions of poverty," Policy Research Working Paper Series 1928, The World Bank.
    5. Alvaro Forteza & Cecilia Noboa, 2019. "Perceptions of institutional quality and justification of tax evasion," Constitutional Political Economy, Springer, vol. 30(4), pages 367-382, December.
    6. Gabriele B. Durrant & Sylke V. Schnepf, 2018. "Which schools and pupils respond to educational achievement surveys?: a focus on the English Programme for International Student Assessment sample," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(4), pages 1057-1075, October.
    7. Augendra BHUKUTH & Jérôme BALLET & Bako Nirina RABEVOHITRA & Patrick RASOLOFO, 2014. "Analysing the Effects of Crop Shocks on Child Work: the Case of the Morondava District in Madagascar," Cahiers du GREThA (2007-2019) 2014-17, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    8. Nils Grashof, 2020. "Sinking or swimming in the cluster labour pool? A firm-specific analysis of the effect of specialized labour," Jena Economics Research Papers 2020-006, Friedrich-Schiller-University Jena.
    9. Yeojin Chung & Sophia Rabe-Hesketh & Vincent Dorie & Andrew Gelman & Jingchen Liu, 2013. "A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models," Psychometrika, Springer;The Psychometric Society, vol. 78(4), pages 685-709, October.
    10. Raghbendra Jha & Hari K. Nagarajan & Woojin Kang & Kailash C. Pradhan, 2014. "Panchayats and Household Vulnerability in Rural India," ASARC Working Papers 2014-08, The Australian National University, Australia South Asia Research Centre.
    11. Duclos, Jean-Yves & Araar, Abdelkrim & Giles, John, 2010. "Chronic and transient poverty: Measurement and estimation, with evidence from China," Journal of Development Economics, Elsevier, vol. 91(2), pages 266-277, March.
    12. Yang, Lin, 2017. "The relationship between poverty and inequality: concepts and measurement," LSE Research Online Documents on Economics 103491, London School of Economics and Political Science, LSE Library.
    13. Ramses ABUL NAGA & Robin BURGESS, 1997. "Prediction and Determination of Household Permanent Income," Cahiers de Recherches Economiques du Département d'économie 9705, Université de Lausanne, Faculté des HEC, Département d’économie.
    14. Marijke Verpoorten & Lode Berlage, 2004. "Genocide and land scarcity: Can Rwandan rural households manage?," CSAE Working Paper Series 2004-15, Centre for the Study of African Economies, University of Oxford.
    15. Meyer, S.C. & Künn-Nelen, A.C., 2014. "Do occupational demands explain the educational gradient in health?," Research Memorandum 016, Maastricht University, Graduate School of Business and Economics (GSBE).
    16. Arpino, Bruno & Varriale, Roberta, 2009. "Assessing the quality of institutions’ rankings obtained through multilevel linear regression models," MPRA Paper 19873, University Library of Munich, Germany.
    17. Miranda J. Welbourne Eleazar, 2022. "Immoral Entrenchment: How Crisis Reverses the Ethical Effects of Moral Intensity," Journal of Business Ethics, Springer, vol. 180(1), pages 71-89, September.
    18. Laura Resmini & Giuseppe Vittucci Marzetti, 2020. "Home bias in divestment decisions of multinational corporations in the EU," Review of International Economics, Wiley Blackwell, vol. 28(3), pages 799-813, August.
    19. Elizabeth S. Park & Federick Ngo & Tatiana Melguizo, 2021. "The Role of Math Misalignment in the Community College STEM Pathway," Research in Higher Education, Springer;Association for Institutional Research, vol. 62(4), pages 403-447, June.
    20. Ethan Ligon & Laura Schechter, 2003. "Measuring Vulnerability," Economic Journal, Royal Economic Society, vol. 113(486), pages 95-102, March.

    More about this item

    Keywords

    vulnerability; poverty; hierarchical model; Republic of Haiti.;
    All these keywords.

    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

    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:uab:wprdea:wpdea1004. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dept. Economia Aplicada (email available below). General contact details of provider: https://edirc.repec.org/data/dauabes.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.