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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]

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  • 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.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 3947.

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Date of creation: Oct 2006
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Publication status: Published in Revista Tecnologica ESPOL ISSN : 0257-1749.Vol 19(2006): pp. 217-224
Handle: RePEc:pra:mprapa:3947

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Keywords: Sindicatos; Propensity Score Matching;

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  1. Guido Imbens, 2000. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometric Society World Congress 2000 Contributed Papers 1166, Econometric Society.
  2. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, Elsevier, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097 Elsevier.
  3. David Blanchflower & Alex Bryson, 2004. "The Union Wage Premium in the US and the UK," CEP Discussion Papers dp0612, Centre for Economic Performance, LSE.
  4. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," NBER Working Papers 6699, National Bureau of Economic Research, Inc.
  5. Heckman, James J & Ichimura, Hidehiko & Todd, Petra, 1998. "Matching as an Econometric Evaluation Estimator," Review of Economic Studies, Wiley Blackwell, Wiley Blackwell, vol. 65(2), pages 261-94, April.
  6. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity score matching methods for non-experimental causal studies," Discussion Papers, Columbia University, Department of Economics 0102-14, Columbia University, Department of Economics.
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