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¿Cuánto es el premio al salario por pertenecer a un sindicato en el Ecuador?: Un análisis usando Propensity Score Matching
[How much it is the prize to the wage to belong to a union in Ecuador?: An analysis using Propensity Score Matching]

Author

Listed:
  • Barragan, Luis

Abstract

In this paper it is wanted to respond the question how much is the prize in the wages of people that belong to an union or workers association in the Ecuador, so much in the public sector as private, with regard to those that don't belong, and observe if this differential is attributed to personal differences and of the work type, for the Ecuadorian case. For that we use a focus of matching statistical semi-parametric, well-known as propensity score matching to compare the results of the workers that belong to an union “matched” with the workers that don't belong to the same one to deduce the causal effect on the wages of the members union, finding prizes of 37% until 99% but, approximately. For this obtained secondary data of the survey of conditions of life carried out in the year 1998, belonging to the project LSMS that implement the World Bank.

Suggested Citation

  • Barragan, Luis, 2006. "¿Cuánto es el premio al salario por pertenecer a un sindicato en el Ecuador?: Un análisis usando Propensity Score Matching [How much it is the prize to the wage to belong to a union in Ecuador?: An," MPRA Paper 3947, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:3947
    as

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    File URL: https://mpra.ub.uni-muenchen.de/3947/1/MPRA_paper_3947.pdf
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    References listed on IDEAS

    as
    1. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
    2. David Blanchflower & Alex Bryson, 2004. "The Union Wage Premium in the US and the UK," CEP Discussion Papers dp0612, Centre for Economic Performance, LSE.
    3. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    4. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    5. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    6. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
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    Keywords

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    JEL classification:

    • J49 - Labor and Demographic Economics - - Particular Labor Markets - - - Other
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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