IDEAS home Printed from https://ideas.repec.org/p/udc/wpaper/wp235.html
   My bibliography  Save this paper

Participación Laboral Femenina en Chile

Author

Listed:
  • Dante Contreras
  • Gonzalo Plaza

Abstract

Este artículo analiza los determinantes de la participación femenina en el mercado laboral chileno. En una primera etapa se analizan los determinantes clásicos de la participación; edad, escolaridad, estado civil y el número de hijos. Este estudio corrobora resultados de trabajos anteriores respecto a los efectos de estas variables sobre la participación femenina. Es decir, se encuentra que a mayor escolaridad, mayor es la participación de la mujer, a su vez, a mayor edad, mayor es la participación, pero dicho efecto crece a tasas decrecientes. Mujeres casadas o convivientes exhiben una menor participación. La evidencia también sugiere que el número de hijos se relaciona negativamente con la decisión de participar en el mercado del trabajo. En segundo lugar, el artículo contribuye con evidencia respecto a características culturales sobre la participación femenina: grado de machismo y valores. La evidencia indica que a mayor grado de machismo en el entorno de la mujer, menor será la participación en el mercado del trabajo. Adicionalmente, mientras más conservadora es la mujer en temas valóricos, menor es también su participación. Por último, los factores culturales en conjunto más que compensan el efecto positivo de las variables de capital humano. La existencia de estos factores culturales explicaría la baja participación femenina en Chile a pesar de buenos indicadores de educación.

Suggested Citation

  • Dante Contreras & Gonzalo Plaza, 2007. "Participación Laboral Femenina en Chile," Working Papers wp235, University of Chile, Department of Economics.
    • Handle: RePEc:udc:wpaper:wp235
    as

    Download full text from publisher

    File URL: http://www.econ.uchile.cl/uploads/publicacion/41f86d8f-4439-4b90-862d-0e3c78bb85f3.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pagan,Adrian & Ullah,Aman, 1999. "Nonparametric Econometrics," Cambridge Books, Cambridge University Press, number 9780521355643.
    2. repec:dau:papers:123456789/1560 is not listed on IDEAS
    3. Gary Fields & Paul Cichello & Samuel Freije & Marta Menéndez & David Newhouse, 2003. "For Richer or for Poorer? Evidence from Indonesia, South Africa, Spain, and Venezuela," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(1), pages 67-99, April.
    4. Bound, John & Brown, Charles & Duncan, Greg J & Rodgers, Willard L, 1994. "Evidence on the Validity of Cross-Sectional and Longitudinal Labor Market Data," Journal of Labor Economics, University of Chicago Press, vol. 12(3), pages 345-368, July.
    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. World Bank, 2007. "Chile - County Gender Assessment : Expanding Women's Work Choices to Enhance Chile's Economic Potential," World Bank Publications - Reports 7639, The World Bank Group.
    2. Juan Carlos García & Patricia Cortez, 2012. "Análisis de la participación laboral de la mujer en el mercado ecuatoriano," Analítika, Analítika - Revista de Análisis Estadístico/Journal of Statistical Analysis, vol. 4(2), pages 27-53, Diciembre.
    3. Dewin Pérez Fuentes & Nallydis Hernandez Miranda & Grace Angulo Pico, 2014. "Participación femenina en el mercado laboral de Cartagena, 2008 - 2013," Revista Economía y Región, Universidad Tecnológica de Bolívar, vol. 8(1), pages 5-29, June.

    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. Jose Miguel Benavente & Rodolfo Lauterbach, 2008. "Technological innovation and employment: complements or substitutes?," The European Journal of Development Research, Taylor and Francis Journals, vol. 20(2), pages 318-329.
    2. Ingrid Woolard & Stephan Klasen, 2005. "Determinants of Income Mobility and Household Poverty Dynamics in South Africa," Journal of Development Studies, Taylor & Francis Journals, vol. 41(5), pages 865-897.
    3. Lisa M. Dragoset & Gary S. Fields, 2006. "U.S. Earnings Mobility: Comparing Survey-Based and Administrative-Based Estimates," Working Papers 55, ECINEQ, Society for the Study of Economic Inequality.
    4. Van Kerm, Philippe, 2006. "Comparisons of income mobility profiles," ISER Working Paper Series 2006-36, Institute for Social and Economic Research.
    5. Robert Duval Hernández, 2007. "Dynamics of Labor Market Earnings in Urban Mexico, 1987-2002," Working papers DTE 401, CIDE, División de Economía.
    6. Fields, Gary S. & Meng, Xin & Song, Yang, 2022. "Earnings mobility during labor market reforms in urban China," China Economic Review, Elsevier, vol. 75(C).
    7. Vaona, A. & Schiavo, S., 2007. "Nonparametric and semiparametric evidence on the long-run effects of inflation on growth," Economics Letters, Elsevier, vol. 94(3), pages 452-458, March.
    8. Sebastian Weber, 2009. "European Financial Market Integration: A Closer Look at Government Bonds in Eurozone Countries," Working Paper / FINESS 1.1b, DIW Berlin, German Institute for Economic Research.
    9. Harding, Don & Pagan, Adrian, 2011. "An Econometric Analysis of Some Models for Constructed Binary Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 86-95.
    10. John Abowd & Martha Stinson, 2011. "Estimating Measurement Error in SIPP Annual Job Earnings: A Comparison of Census Bureau Survey and SSA Administrative Data," Working Papers 11-20, Center for Economic Studies, U.S. Census Bureau.
    11. Menzel, Konrad, 2014. "Consistent estimation with many moment inequalities," Journal of Econometrics, Elsevier, vol. 182(2), pages 329-350.
    12. Kaspar W thrich, 2013. "Set Identification of Generalized Linear Predictors in the Presence of Non-Classical Measurement Errors," Diskussionsschriften dp1304, Universitaet Bern, Departement Volkswirtschaft.
    13. Ural Marchand, Beyza, 2012. "Tariff pass-through and the distributional effects of trade liberalization," Journal of Development Economics, Elsevier, vol. 99(2), pages 265-281.
    14. Ichimura, Hidehiko & Todd, Petra E., 2007. "Implementing Nonparametric and Semiparametric Estimators," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 74, Elsevier.
    15. Daniel Buncic, 2012. "Understanding forecast failure of ESTAR models of real exchange rates," Empirical Economics, Springer, vol. 43(1), pages 399-426, August.
    16. Fosgerau, Mogens & Bierlaire, Michel, 2007. "A practical test for the choice of mixing distribution in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 784-794, August.
    17. David Fairris & Gurleen Popli & Eduardo Zepeda, 2008. "Minimum Wages and the Wage Structure in Mexico," Review of Social Economy, Taylor & Francis Journals, vol. 66(2), pages 181-208.
    18. Stephen P. Jenkins & Philippe Van Kerm, 2016. "Assessing Individual Income Growth," Economica, London School of Economics and Political Science, vol. 83(332), pages 679-703, October.
    19. Javier Parada Gómez Urquiza & Alejandro López-Feldman, 2013. "Poverty dynamics in rural Mexico: What does the future hold?," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 55-74, November.
    20. Mohamed CHIKHI & Claude DIEBOLT, 2022. "Testing the weak form efficiency of the French ETF market with the LSTAR-ANLSTGARCH approach using a semiparametric estimation," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 13, pages 228-253, June.

    More about this item

    Keywords

    Tasa de participación femenina; normas sociales; cultura; machismo.;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • Z1 - Other Special Topics - - Cultural Economics

    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:udc:wpaper:wp235. 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: Mohit Karnani (email available below). General contact details of provider: https://edirc.repec.org/data/deuclcl.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.