IDEAS home Printed from https://ideas.repec.org/a/ere/journl/v26y2007i1id110.html

Los salarios del sector formal e informal en México: análisis de ganancias y pérdidas por formalización

Author

Listed:
  • Jorge O. Moreno Treviño

Abstract

Este documento analiza las diferencias que existen en los salarios entre el sector formal e informal del mercado laboral y estima las ganancias netas desde una situación de formalización para los trabajadores, utilizando los parámetros de los efectos de tratamiento, particularmente los de: Mínimos Cuadrados Ordinarios (OLS), Tratamiento Promedio (ATE), Tratamiento en los Tratados (TT) y Tratamiento en los No Tratados (TUT). En general, para México desde el año 2000 al 2003, hombres y mujeres con mayores niveles de educación poseen una ganancia neta si se cambian hacia el sector formal; mientras por contraparte, trabajadores con menores niveles educativos tienen un efecto negativo en sus salarios, en el caso de que formalicen su situación laboral. Complementando lo anterior, se observa que prevalecen grandes diferencias en salarios de un sector a otro, cuando se estudia los efectos condicionales de los tratamientos; sin embargo, esta brecha se desvanece ligera pero consistentemente en el tiempo. En el caso de los hombres, la mayor medida de diferencia en salarios proviene de estudiar la diferencia en salarios usando la media incondicional y el efecto simple condicional OLS, los cuales implican una brecha de aproximadamente 33.0 por ciento en 2000, la cual se reduce consistentemente a 25.3 por ciento en 2003. En contraste, para el mismo período y género, el ATE muestra una brecha mucho menor que es de 14.3 por ciento para 2000, y reduce su valor a 11.7 por ciento en 2003. Además, el TUT para los trabajadores informales es aún mucho menor, ya que se reduce de 7.5 a 2.6 por ciento en el período analizado. Las estimaciones para mujeres son estadísticamente significativas y cualitativamente similares. En esta investigación, la evidencia sugiere que el ordenamiento de los agentes entre sectores, por la vía de auto-selección, explica una proporción importante de la diferencia entre salarios formales e informales en México.

Suggested Citation

  • Jorge O. Moreno Treviño, 2007. "Los salarios del sector formal e informal en México: análisis de ganancias y pérdidas por formalización," Ensayos Revista de Economía, Universidad Autónoma de Nuevo León, vol. 26(1), pages 1-44, May.
  • Handle: RePEc:ere:journl:v:26:y:2007:i:1:id:110
    DOI: 10.29105/ensayos26.1-1
    as

    Download full text from publisher

    File URL: https://ensayos.uanl.mx/index.php/ensayos/article/view/110
    File Function: Abstract page
    Download Restriction: no

    File URL: https://ensayos.uanl.mx/index.php/ensayos/article/download/110/95
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.29105/ensayos26.1-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Willis, Robert J & Rosen, Sherwin, 1979. "Education and Self-Selection," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 7-36, October.
    2. Flavio Cunha & James Heckman & Salvador Navarro, 2005. "Separating uncertainty from heterogeneity in life cycle earnings," Oxford Economic Papers, Oxford University Press, vol. 57(2), pages 191-261, April.
    3. James Heckman, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    4. J. J. McCall, 1970. "Economics of Information and Job Search," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(1), pages 113-126.
    5. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-442, June.
    6. Marcouiller, Douglas & Ruiz de Castilla, Veronica & Woodruff, Christopher, 1997. "Formal Measures of the Informal-Sector Wage Gap in Mexico, El Salvador, and Peru," Economic Development and Cultural Change, University of Chicago Press, vol. 45(2), pages 367-392, January.
    Full references (including those not matched with items on IDEAS)

    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. Keane, Michael P. & Todd, Petra E. & Wolpin, Kenneth I., 2011. "The Structural Estimation of Behavioral Models: Discrete Choice Dynamic Programming Methods and Applications," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 4, pages 331-461, Elsevier.
    2. Kässi, Otto, 2012. "Uncertainty and Heterogeneity in Returns to Education: Evidence from Finland," MPRA Paper 43503, University Library of Munich, Germany.
    3. Belzil, Christian, 2007. "The return to schooling in structural dynamic models: a survey," European Economic Review, Elsevier, vol. 51(5), pages 1059-1105, July.
    4. Suqin Ge & Fang Yang, 2013. "Accounting For The Gender Gap In College Attainment," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 478-499, January.
    5. Cunha, Flavio & Heckman, James J., 2007. "Identifying and Estimating the Distributions of Ex Post and Ex Ante Returns to Schooling," Labour Economics, Elsevier, vol. 14(6), pages 870-893, December.
    6. Gould, Eric D., 2005. "Inequality and ability," Labour Economics, Elsevier, vol. 12(2), pages 169-189, April.
    7. Pietro Giorgio Lovaglio & Gianmarco Vacca & Stefano Verzillo, 2016. "Human capital estimation in higher education," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 10(4), pages 465-489, December.
    8. Flávio Cunha & James Heckman, 2016. "Decomposing Trends in Inequality in Earnings into Forecastable and Uncertain Components," Journal of Labor Economics, University of Chicago Press, vol. 34(S2), pages 31-65.
    9. Idrisov, Georgiy (Идрисов, Георгий) & Taganov, B.V. (Таганов, Б.), 2016. "Research of the Effect of Growth of Openness of the Russian Economy on Income Inequality in Russia [Исследование Влияния Роста Открытости Российской Экономики На Неравенство Доходов Населения В России]," Working Papers 3136, Russian Presidential Academy of National Economy and Public Administration.
    10. Kässi, Otto, 2014. "How Risky Is the Choice of a University Major?," MPRA Paper 59078, University Library of Munich, Germany.
    11. Seonho Shin, 2022. "To work or not? Wages or subsidies?: Copula-based evidence of subsidized refugees’ negative selection into employment," Empirical Economics, Springer, vol. 63(4), pages 2209-2252, October.
    12. George R. Boyer & Robert S. Smith, 2001. "The Development of the Neoclassical Tradition in Labor Economics," ILR Review, Cornell University, ILR School, vol. 54(2), pages 199-223, January.
    13. Heckman, James J. & Urzúa, Sergio, 2010. "Comparing IV with structural models: What simple IV can and cannot identify," Journal of Econometrics, Elsevier, vol. 156(1), pages 27-37, May.
    14. Töpfer, Marina, 2017. "Detailed RIF decomposition with selection: The gender pay gap in Italy," Hohenheim Discussion Papers in Business, Economics and Social Sciences 26-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    15. Monsueto, Sandro Eduardo & Simão, Rosycler Cristal Santos, 2008. "The impact of gender discrimination on poverty in Brazil," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    16. Felicia Ionescu, 2011. "Risky Human Capital and Alternative Bankruptcy Regimes for Student Loans," Journal of Human Capital, University of Chicago Press, vol. 5(2), pages 153-206.
    17. Bas Jacobs & Joop Hartog & Wim Vijverberg, 2009. "Self-selection bias in estimated wage premiums for earnings risk," Empirical Economics, Springer, vol. 37(2), pages 271-286, October.
    18. repec:eee:labchp:v:3:y:1999:i:pc:p:3573-3630 is not listed on IDEAS
    19. King, Elizabeth M. & Bellew, Rosemary, 1990. "Gains in the education of Peruvian women, 1940 to 1980," Policy Research Working Paper Series 472, The World Bank.
    20. Rosen, Harvey S, 1982. "Taxation and On-the-Job Training Decisions," The Review of Economics and Statistics, MIT Press, vol. 64(3), pages 442-449, August.
    21. Flannery, Darragh & O’Donoghue, Cathal, 2013. "The demand for higher education: A static structural approach accounting for individual heterogeneity and nesting patterns," Economics of Education Review, Elsevier, vol. 34(C), pages 243-257.

    More about this item

    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:ere:journl:v:26:y:2007:i:1:id:110. 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: Revistas UANL (email available below). General contact details of provider: https://ensayos.uanl.mx/index.php/ensayos .

    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.