IDEAS home Printed from https://ideas.repec.org/a/col/000180/014113.html
   My bibliography  Save this article

Participación laboral de las mujeres en el municipio de Popayán (Colombia)

Author

Listed:
  • Alejandra Miller Restrepo
  • Juliana Isabel Sarmiento Castillo
  • Andrés Mauricio Gómez Sánchez

Abstract

Resumen El presente artículo busca indagar por la participación laboral de las mujeres -especialmente en situación de pobreza- en el municipio de Popayán (Colombia) entre los anos 2007-2011. Para tal efecto, se realizó un análisis de la información suministrada por la Gran Encuesta Integrada de Hogares (GEIH) y por un taller participativo realizado con 90 mujeres desempleadas y en situación de pobreza a nivel local. Con estos datos se realizaron análisis econométricos a largo plazo a través del Filtro de Hodrick-Prescott, un análisis de cointegración de Johansen y un Test de Causalidad de Granger, para determinar la inserción laboral femenina y su relación con los ciclos económicos de Popayán. Los resultados muestran entre otras cosas, que en todos los indicadores laborales tradicionalmente utilizados, las mujeres se encuentran siempre en desventaja frente a los hombres, situación que se acentúa en mujeres bajo condición de pobreza. Adicionalmente, se encuentra que las mujeres buscan emplearse cuando el ciclo económico es recesivo y no lo hacen cuando es expansivo.

Suggested Citation

  • Alejandra Miller Restrepo & Juliana Isabel Sarmiento Castillo & Andrés Mauricio Gómez Sánchez, 2015. "Participación laboral de las mujeres en el municipio de Popayán (Colombia)," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, vol. 0(1), pages 23-51, June.
  • Handle: RePEc:col:000180:014113
    as

    Download full text from publisher

    File URL: http://www.scielo.org.co/pdf/rfce/v23n1/v23n1a03.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    2. Ozturk, Ilhan, 2010. "A literature survey on energy-growth nexus," Energy Policy, Elsevier, vol. 38(1), pages 340-349, January.
    3. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    4. Magazzino, Cosimo, 2011. "Energy consumption and aggregate income in Italy: cointegration and causality analysis," MPRA Paper 28494, University Library of Munich, Germany.
    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. Carlos Alberto Barreto Nieto & Jacobo Campo Robledo, 2012. "Relación a largo plazo entre consumo de energía y PIB en América Latina: Una evaluación empírica con datos panel," Revista Ecos de Economía, Universidad EAFIT, October.
    2. Dagher, Leila & Yacoubian, Talar, 2012. "The causal relationship between energy consumption and economic growth in Lebanon," Energy Policy, Elsevier, vol. 50(C), pages 795-801.
    3. Campo Robledo, Jacobo & Sarmiento Guzmán, Viviana, 2011. "Relación consumo de energía y PIB: evidencia desde un panel cointegrado de 10 países de América Latina entre 1971 - 2007 [Energy consumption and GDP relationship: evidence from a panel cointegratio," MPRA Paper 31772, University Library of Munich, Germany.
    4. Wesseh, Presley K. & Zoumara, Babette, 2012. "Causal independence between energy consumption and economic growth in Liberia: Evidence from a non-parametric bootstrapped causality test," Energy Policy, Elsevier, vol. 50(C), pages 518-527.
    5. Rohin Anhal, 2013. "Causality between GDP, Energy and Coal Consumption in India, 1970-2011: A Non-parametric Bootstrap Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 3(4), pages 434-446.
    6. Chor Foon Tang and Eu Chye Tan, 2012. "Electricity Consumption and Economic Growth in Portugal: Evidence from a Multivariate Framework Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    7. Bruns, Stephan B. & Gross, Christian, 2013. "What if energy time series are not independent? Implications for energy-GDP causality analysis," Energy Economics, Elsevier, vol. 40(C), pages 753-759.
    8. Jacobo Campo & Viviana Sarmiento, 2013. "The Relationship between Energy Consumption and GDP: Evidence from a Panel of 10 Latin American Countries," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 50(2), pages 233-255, November.
    9. Abbas, Faisal & Choudhury, Nirmalya, 2013. "Electricity consumption-economic growth Nexus: An aggregated and disaggregated causality analysis in India and Pakistan," Journal of Policy Modeling, Elsevier, vol. 35(4), pages 538-553.
    10. Chang, Ching-Chih, 2012. "Marine energy consumption, national economic activity, and greenhouse gas emissions from international shipping," Energy Policy, Elsevier, vol. 41(C), pages 843-848.
    11. Yıldırım, Ertugrul & Sukruoglu, Deniz & Aslan, Alper, 2014. "Energy consumption and economic growth in the next 11 countries: The bootstrapped autoregressive metric causality approach," Energy Economics, Elsevier, vol. 44(C), pages 14-21.
    12. Sudeshna Ghosh, 2019. "Environmental Pollution, Income Inequality, and Household Energy Consumption: Evidence from the United Kingdom," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-31, June.
    13. Leiva, Benjamin & Liu, Zhongyuan, 2019. "Energy and economic growth in the USA two decades later: Replication and reanalysis," Energy Economics, Elsevier, vol. 82(C), pages 89-99.
    14. Tang, Chor Foon & Tan, Eu Chye, 2013. "Exploring the nexus of electricity consumption, economic growth, energy prices and technology innovation in Malaysia," Applied Energy, Elsevier, vol. 104(C), pages 297-305.
    15. Bilal Mehmood & Syed Hassan Raza & Mahwish Rana & Huma Sohaib & Muhammad Azhar Khan, 2014. "Triangular Relationship between Energy Consumption, Price Index and National Income in Asian Countries: A Pooled Mean Group Approach in Presence of Structural Breaks," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 610-620.
    16. Levent, Korap, 2007. "Modeling purchasing power parity using co-integration: evidence from Turkey," MPRA Paper 19584, University Library of Munich, Germany.
    17. Ranjan Aneja & Umer J. Banday & Tanzeem Hasnat & Mustafa Koçoglu, 2017. "Renewable and Non-renewable Energy Consumption and Economic Growth: Empirical Evidence from Panel Error Correction Model," Jindal Journal of Business Research, , vol. 6(1), pages 76-85, June.
    18. Yap, Wei Yim & Lam, Jasmine S.L., 2006. "Competition dynamics between container ports in East Asia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(1), pages 35-51, January.
    19. Nicholas Taylor, 1998. "Precious metals and inflation," Applied Financial Economics, Taylor & Francis Journals, vol. 8(2), pages 201-210.
    20. Md. Sharif Hossain & Md. Thasinul Abedin, 2016. "Multivariate Dynamic Co-integration and Causality Analysis between Inflation and its Determinants," Journal of Economics and Behavioral Studies, AMH International, vol. 8(5), pages 240-250.

    More about this item

    Keywords

    Participación laboral; Mujeres; Desempleo; Discriminación laboral; Econometría;
    All these keywords.

    JEL classification:

    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

    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:col:000180:014113. 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: Administrador (email available below). General contact details of provider: https://edirc.repec.org/data/femngco.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.