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Sources of Income Persistence: Evidence from Rural El Salvador

Author

Listed:
  • Walter Sosa-Escudero

    () (University of San Andreas)

  • Mariana Marchionni

    () (National University of La Plata)

  • Omar Arias

    () (The World Bank, Washington, DC)

Abstract

This article uses a unique panel data set of rural El Salvador to investigate the main sources of persistence and variability in incomes. Our econometric framework validly reduces a general panel model to a dynamic linear model with a covariance structure that can be estimated efficiently with short panels. We find that life-cycle incomes are largely explained by the productive characteristics of families, such as education and access to public goods, and unobserved heterogeneity. Pure state dependence, arising from income shocks persistency, is of second order. In El Salvador, frequent transitory shocks are a more important source of income variation than in developed countries.

Suggested Citation

  • Walter Sosa-Escudero & Mariana Marchionni & Omar Arias, 2011. "Sources of Income Persistence: Evidence from Rural El Salvador," Journal of Income Distribution, Journal of Income Distribution, vol. 20(1), pages 3-28, March.
  • Handle: RePEc:jid:journl:y:2011:v:20:i:1:p:3-28
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Walter Sosa Escudero & Anil K. Bera, 2008. "Tests for Unbalanced Error Component Models Under Local Misspecication," CEDLAS, Working Papers 0065, CEDLAS, Universidad Nacional de La Plata.
    2. Federico Zincenko & Walter Sosa-Escudero & Gabriel Montes-Rojas, 2014. "Robust tests for time-invariant individual heterogeneity versus dynamic state dependence," Empirical Economics, Springer, pages 1365-1387.
    3. Cerro, Ana María & Ortega, Ana Carolina, 2012. "Sources of Regional Crime Persistence Argentina 1980-2008," MPRA Paper 44482, University Library of Munich, Germany.
    4. Ricardo Bebczuk & Francisco Haimovich, 2007. "MDGs and Microcredit: An Empirical Evaluation for Latin American Countries," CEDLAS, Working Papers 0048, CEDLAS, Universidad Nacional de La Plata.
    5. Diego Battiston & Francisco Franchetti, 2008. "Inequality in Health Coverage, Empirical Analysis with Microdata for Argentina 2006," CEDLAS, Working Papers 0063, CEDLAS, Universidad Nacional de La Plata.
    6. Walter Sosa Escudero, 2007. "Testing for Persistence in the Error Component Model:A One-Sided Approach," Working Papers 94, Universidad de San Andres, Departamento de Economia, revised Feb 2007.
    7. Sebastian Galiani & Federico Weinschelbaum, 2012. "Modeling Informality Formally: Households And Firms," Economic Inquiry, Western Economic Association International, vol. 50(3), pages 821-838, July.
    8. Mariana Marchionni & Germán Bet & Ana Pacheco, 2007. "Empleo, Educación y Entorno Social de los Jóvenes: Una Nueva Fuente de Información," CEDLAS, Working Papers 0061, CEDLAS, Universidad Nacional de La Plata.
    9. Maribel Jimenez & Monica Jimenez, 2009. "La Movilidad Intergeneracional del Ingreso: Evidencia para Argentina," CEDLAS, Working Papers 0084, CEDLAS, Universidad Nacional de La Plata.
    10. Paula Giovagnoli, 2007. "Failures in school progression," CEDLAS, Working Papers 0050, CEDLAS, Universidad Nacional de La Plata.
    11. Ricardo Bebczuk, 2009. "SME Access to Credit in Guatemala and Nicaragua: Challenging Conventional Wisdom with New Evidence," CEDLAS, Working Papers 0080, CEDLAS, Universidad Nacional de La Plata.
    12. Guillermo E. Perry & Omar S. Arias & J. Humberto López & William F. Maloney & Luis Servén, 2006. "Poverty Reduction and Growth : Virtuous and Vicious Circles," World Bank Publications, The World Bank, number 6997.
    13. Ricardo N. Bebczuk, 2008. "Dolarización y Pobreza en Ecuador," CEDLAS, Working Papers 0066, CEDLAS, Universidad Nacional de La Plata.
    14. Leopoldo Tornarolli & Adriana Conconi, 2007. "Informalidad y Movilidad Laboral: Un Análisis Empírico para Argentina," CEDLAS, Working Papers 0059, CEDLAS, Universidad Nacional de La Plata.

    More about this item

    Keywords

    income mobility; income dynamics; poverty traps; panel data; El Salvador;

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D1 - Microeconomics - - Household Behavior
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution

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