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The use of quantile regressions in estimating gender wage differentials: a case study of the Philippines

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  • Chris Sakellariou

Abstract

Quantile regressions are used to analyse the size, components, and nature of the gender-earnings differentials as well as the returns to education by gender in the Philippines, over the entire conditional distribution of earnings, using data from the 1999 APIS survey. This approach allows more focused conclusions about the nature of gender-earnings differentials. Incorporating the quantile regression approach to the Oaxaca-Blinder decomposition allows the localization of gender discrimination to particular quantiles of the earnings distribution and permits more targeted policy intervention.

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Bibliographic Info

Article provided by Taylor and Francis Journals in its journal Applied Economics.

Volume (Year): 36 (2004)
Issue (Month): 9 ()
Pages: 1001-1007

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Handle: RePEc:taf:applec:v:36:y:2004:i:9:p:1001-1007

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References

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  1. Pereira, Pedro T. & Martins, Pedro S., 2000. "Does Education Reduce Wage Inequality? Quantile Regressions Evidence from Fifteen European Countries," IZA Discussion Papers 120, Institute for the Study of Labor (IZA).
  2. Javier Gardeazabal & Arantza Ugidos, . "Measuring the gender gap at different quantiles of the wage distribution," Studies on the Spanish Economy 108, FEDEA.
  3. Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March.
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Citations

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Cited by:
  1. Harry Anthony Patrinos & Chris Sakellariou, 2006. "Economic volatility and returns to education in Venezuela: 1992-2002," Applied Economics, Taylor and Francis Journals, vol. 38(17), pages 1991-2005.
  2. Adireksombat, Kampon & Fang, Zheng & Sakellariou, Chris, 2010. "The Evolution of Gender Wage Differentials and Discrimination in Thailand: 1991-2007--An Application of Unconditional Quantile Regression," MPRA Paper 27516, University Library of Munich, Germany.
  3. Sumon Kumar Bhaumik & Manisha Chakrabarty, 2007. "Is Education the Panacea for Economic Deprivation of Muslims? Evidence from Wage Earners in India, 1987-2004," William Davidson Institute Working Papers Series wp858, William Davidson Institute at the University of Michigan.
  4. Fang, Zheng & Sakellariou, Chris, 2010. "Discrimination in the Equilibrium Search Model with Wage-Tenure Contracts," MPRA Paper 27515, University Library of Munich, Germany.
  5. Zheng Fang & Chris Sakellariou, 2011. "A Case of Sticky Floors: Gender Wage Differentials in Thailand," Asian Economic Journal, East Asian Economic Association, vol. 25(1), pages 35-54, 03.
  6. Mohamed Jellal & Christophe Nordman & Francois-Charles Wolff, 2008. "Evidence on the glass ceiling effect in France using matched worker-firm data," Applied Economics, Taylor and Francis Journals, vol. 40(24), pages 3233-3250.
  7. Yamauchi, Futoshi & Liu, Yanyan, 2012. "School quality, labor markets and human capital investments : long-term impacts of an early stage education intervention in the Philippines," Policy Research Working Paper Series 6247, The World Bank.
  8. repec:pid:journl:v:46:y:2007:i:4:p:865-882 is not listed on IDEAS
  9. Bhaumik, Sumon K. & Chakrabarty, Manisha, 2007. "Is Education the Panacea for Economic Deprivation of Muslims? Evidence from Wage Earners in India, 1987–2005," IZA Discussion Papers 3232, Institute for the Study of Labor (IZA).
  10. Chris Sakellariou, 2006. "Education policy reform, local average treatment effect and returns to schooling from instrumental variables in the Philippines," Applied Economics, Taylor and Francis Journals, vol. 38(4), pages 473-481.
  11. Aashish Mehta & Hector Villarreal, 2008. "Why do diplomas pay? An expanded Mincerian framework applied to Mexico," Applied Economics, Taylor and Francis Journals, vol. 40(24), pages 3127-3144.
  12. Dileni Gunewardena & Darshi Abeyrathna & Amalie Ellagala & Kamani Rajakaruna & Shobana Rajendran, 2008. "Glass Ceilings, Sticky Floors or Sticky Doors? A Quantile Regression Approach to Exploring Gender Wage Gaps in Sri Lanka," Working Papers PMMA 2008-04, PEP-PMMA.

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