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The determinants of poverty in Mexico

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  • Garza-Rodriguez, Jorge

Abstract

This study examines the determinants or correlates of poverty in México. The data used in the study come from the 1996 National Survey of Income and Expenditures of Households. A logistic regression model was estimated based on this data, with the probability of a household being extremely poor as the dependent variable and a set of economic and demographic variables as the explanatory variables. It was found that the variables that are positively correlated with the probability of being poor are: size of the household, living in a rural area, working in a rural occupation and being a domestic worker. Variables negatively correlated with the probability of being poor are: the education level of the household head, his/her age and whether he or she works in a professional or middle level occupation.

Suggested Citation

  • Garza-Rodriguez, Jorge, 2002. "The determinants of poverty in Mexico," MPRA Paper 65993, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:65993
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    References listed on IDEAS

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    1. Hollis Chenery† & T.N. Srinivasan (ed.), 1988. "Handbook of Development Economics," Handbook of Development Economics, Elsevier, edition 1, volume 1, number 1.
    2. Chen, Jain-Shing A. & Hicks, W. Whitney & Johnson, Stanley R. & Rodriquez, Raymundo G., 1990. "Economic Development, Contraception & Fertility Decline in Mexico," Staff General Research Papers Archive 323, Iowa State University, Department of Economics.
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    Cited by:

    1. John C. Anyanwu, 2014. "Marital Status, Household Size and Poverty in Nigeria: Evidence from the 2009/2010 Survey Data," African Development Review, African Development Bank, vol. 26(1), pages 118-137, March.
    2. Sebaggala, Richard & Okello, Patrick, 2010. "An Econometric Analysis Of The Link Between Access To Agricultural Extension Services, Adoption Of Agricultural Technology And Poverty: Evidence For Uganda," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124622, Agricultural and Applied Economics Association.
    3. Upev, Samuel Ka’ase & Onu, Justice Inyanda & Mshelia, Shuaibu Iliya & Michael, Amurtiya, 2021. "Poverty and its Alleviating Strategies among Rural Farming Households in Benue State, Nigeria," Problems of World Agriculture / Problemy Rolnictwa Światowego, Warsaw University of Life Sciences, vol. 21(2), June.
    4. John Anyanwu, 2013. "Working Paper 180 - Marital Status, Household Size and Poverty in Nigeria: Evidence from the 2009-2010 Survey Data," Working Paper Series 978, African Development Bank.
    5. Popli, Gurleen K., 2010. "Trade Liberalization and the Self-Employed in Mexico," World Development, Elsevier, vol. 38(6), pages 803-813, June.
    6. John Anyanwu, 2012. "Working Paper 149 - Accounting for Poverty in Africa: Illustration with Survey Data from Nigeria," Working Paper Series 383, African Development Bank.
    7. Jennifer Fernández-Ramos & Ana K. Garcia-Guerra & Jorge Garza-Rodriguez & Gabriela Morales-Ramirez, 2016. "The dynamics of poverty transitions in Mexico," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 43(11), pages 1082-1095, November.
    8. Garza-Rodriguez, Jorge, 2004. "The determinants of poverty in Mexico: 2002," MPRA Paper 65995, University Library of Munich, Germany.

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    More about this item

    Keywords

    Poverty; poverty determinants; poverty profiles; Mexico.;
    All these keywords.

    JEL classification:

    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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