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A Quantile Regression Analysis of Wages in Panama

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  • Evangelos M. Falaris

    () (Department of Economics,University of Delaware)

Abstract

I investigate differences in the effects of worker characteristics on wages in Panama at different points of the conditional wage distribution. Public sector employment increases wages of men and of women relatively more at lower quantiles. Public sector employment increases wages of the median worker in that sector and reduces wage inequality within the sector. The existence of a labor union at a worker’s workplace increases relatively more wages of men at lower quantiles. Labor unions reduce male wage inequality within the union sector and increase average wages of union members. Unions do not increase women’s wages but reduce wage inequality within the union sector. Working for a large firm increases wages relatively more at lower quantiles. Rates of return to higher education and to experience are larger for men at higher quantiles. Experience and higher education increase men’s wage inequality. There are no differences across quantiles in rates of return to schooling and experience for women.

Suggested Citation

  • Evangelos M. Falaris, 2004. "A Quantile Regression Analysis of Wages in Panama," Working Papers 04-01, University of Delaware, Department of Economics.
  • Handle: RePEc:dlw:wpaper:04-01
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    References listed on IDEAS

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    1. James J. Heckman & V. Joseph Hotz, 1986. "An Investigation of the Labor Market Earnings of Panamanian Males Evaluating the Sources of Inequality," Journal of Human Resources, University of Wisconsin Press, vol. 21(4), pages 507-542.
    2. T. Paul Schultz & Germano Mwabu, 1998. "Labor Unions and the Distribution of Wages and Employment in South Africa," ILR Review, Cornell University, ILR School, vol. 51(4), pages 680-703, July.
    3. Michael Rosholm & Helena Skyt Nielsen, 2001. "The public-private sector wage gap in Zambia in the 1990s: A quantile regression approach," Empirical Economics, Springer, vol. 26(1), pages 169-182.
    4. Alan B. Krueger, 1993. "How Computers Have Changed the Wage Structure: Evidence from Microdata, 1984–1989," The Quarterly Journal of Economics, Oxford University Press, vol. 108(1), pages 33-60.
    5. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    6. Buchinsky, Moshe, 1994. "Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression," Econometrica, Econometric Society, vol. 62(2), pages 405-458, March.
    7. Martins, Pedro S. & Pereira, Pedro T., 2004. "Does education reduce wage inequality? Quantile regression evidence from 16 countries," Labour Economics, Elsevier, vol. 11(3), pages 355-371, June.
    8. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    9. Mueller, Richard E., 1998. "Public-private sector wage differentials in Canada: evidence from quantile regressions," Economics Letters, Elsevier, vol. 60(2), pages 229-235, August.
    10. Henry S. Farber & Robert Gibbons, 1996. "Learning and Wage Dynamics," The Quarterly Journal of Economics, Oxford University Press, vol. 111(4), pages 1007-1047.
    11. Bartel, Ann P & Lichtenberg, Frank R, 1987. "The Comparative Advantage of Educated Workers in Implementing New Technology," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 1-11, February.
    12. Schaffner, Julie Anderson, 1998. "Premiums to employment in larger establishments: evidence from Peru," Journal of Development Economics, Elsevier, vol. 55(1), pages 81-113, February.
    13. Mwabu, Germano & Schultz, T Paul, 1996. "Education Returns across Quantiles of the Wage Function: Alternative Explanations for Returns to Education by Race in South Africa," American Economic Review, American Economic Association, vol. 86(2), pages 335-339, May.
    14. Brown, Charles & Medoff, James, 1989. "The Employer Size-Wage Effect," Journal of Political Economy, University of Chicago Press, vol. 97(5), pages 1027-1059, October.
    15. John Pencavel, 1996. "The Legal Framework for Collective Bargaining in Developing Economies," Working Papers 97008, Stanford University, Department of Economics.
    16. Kahn, Lawrence M, 1998. "Collective Bargaining and the Interindustry Wage Structure: International Evidence," Economica, London School of Economics and Political Science, vol. 65(260), pages 507-534, November.
    17. Moshe Buchinsky, 2001. "Quantile regression with sample selection: Estimating women's return to education in the U.S," Empirical Economics, Springer, vol. 26(1), pages 87-113.
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    Cited by:

    1. Aysit Tansel & Fatma Bircan Bodur, 2012. "Wage Inequality and Returns to Education in Turkey: A Quantile Regression Analysis," Review of Development Economics, Wiley Blackwell, vol. 16(1), pages 107-121, February.
    2. S Madheswaran, 2016. "The Changing Rates of Return to Education in India: Evidence from NSS Data," Working Papers id:11324, eSocialSciences.
    3. Giovagnoli, Paula Ines & Fiszbein, Ariel & Patrinos, Harry Anthony, 2005. "Estimating the returns to education in Argentina : 1992-2002," Policy Research Working Paper Series 3715, The World Bank.
    4. Asma Hyder & Barry Reilly, 2005. "The Public Sector Pay Gap in Pakistan: A Quantile Regression Analysis," PRUS Working Papers 33, Poverty Research Unit at Sussex, University of Sussex.
    5. Sanglestsawai, Santi & Rejesus, Roderick M. & Yorobe, Jose M., 2014. "Do lower yielding farmers benefit from Bt corn? Evidence from instrumental variable quantile regressions," Food Policy, Elsevier, vol. 44(C), pages 285-296.
    6. Fernando Rios-Avila, 2017. "Unions and Economic Performance in Developing Countries: Case Studies from Latin America," REVISTA ECOS DE ECONOMÍA, UNIVERSIDAD EAFIT, vol. 21(44), pages 4-36, June.
    7. Anuneeta Mitra, 2016. "Education and earning linkages of regular and casual workers in India: a quantile regression approach," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 18(1), pages 147-174, October.
    8. Asma Hyder & Barry Reilly, 2005. "The Public and Private Sector Pay Gap in Pakistan: A Quantile Regression Analysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 44(3), pages 271-306.
    9. Tushar Agrawal, 2011. "Returns to education in India: Some recent evidence," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2011-017, Indira Gandhi Institute of Development Research, Mumbai, India.
    10. Muhammad Aslam & Arslan Saeed & Saima Altaf, 2014. "Median Regression Analysis of Gender-wise Income Gap in Punjab, Pakistan," Economy, Asian Online Journal Publishing Group, vol. 1(1), pages 15-19.
    11. Casal, María del Pilar & Barham, Bradford L., 2013. "Motherhood wage penalties and labour market segmentation: Evidence from Argentina," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    12. Singhari, Smrutirekha & Madheswaran, S., 2016. "Changing rates of return to education in India: Evidence from NSS data," Working Papers 358, Institute for Social and Economic Change, Bangalore.

    More about this item

    Keywords

    wages; Panama; quantile regression;

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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