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Microcredit, labour, and poverty impacts in urban Mexico

Author

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  • Niño-Zarazúa, Miguel
  • Mosley, Paul

Abstract

Improved household accessibility to credit is identified as a significant determinant of intra-household re-allocation of labour resources with important implications for productivity, income, and poverty status. However, credit accessibility could also have wider impacts on poverty if it leads to new hires outside the household. This paper contributes to the existing literature on microcredit in two important ways: first, it investigates the routes through which microcredit reaches those in poverty outside the household. We test whether, by lending to the vulnerable non-poor, microcredit programmes can indirectly benefit poor labourers through increased employment. Second, we conduct the study in the spatial dimension of urban poverty Mexico. This is relevant when considering that, unlike in rural areas, labour often represents the only source of livelihoods to the extreme poor. Our findings point to significant trickle-down effects of microcredit that benefit poor labourers; however, these effects are only observed after loan-supported enterprising households achieve earnings well above the poverty line. The paper concludes with reflections on the policy implications.

Suggested Citation

  • Niño-Zarazúa, Miguel & Mosley, Paul, 2009. "Microcredit, labour, and poverty impacts in urban Mexico," MPRA Paper 17462, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:17462
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    References listed on IDEAS

    as
    1. Pitt, M.M. & Khandker, S.R., 1996. "Household and Intrahousehold Impact of the Grameen Bank and Similar Targeted Credit Programs in Bangladesh," World Bank - Discussion Papers 320, World Bank.
    2. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 38(2), pages 112-134.
    3. Andrew D. Foster & Mark R. Rosenzweig, 1996. "Comparative Advantage, Information and the Allocation of Workers to Tasks: Evidence from an Agricultural Labour Market," Review of Economic Studies, Oxford University Press, vol. 63(3), pages 347-374.
    4. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
    5. Halvorsen, Robert & Palmquist, Raymond, 1980. "The Interpretation of Dummy Variables in Semilogarithmic Equations," American Economic Review, American Economic Association, vol. 70(3), pages 474-475, June.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Mexico; microcredit; labour; poverty;

    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • J41 - Labor and Demographic Economics - - Particular Labor Markets - - - Labor Contracts
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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