IDEAS home Printed from https://ideas.repec.org/a/bla/rdevec/v12y2008i3p498-514.html
   My bibliography  Save this article

A Quantile Regression Analysis of Wages in Panama

Author

Listed:
  • Evangelos M. Falaris

Abstract

Differences in the effects of worker characteristics on wages in Panama at different points of the conditional wage distribution are investigated. Public sector employment increases wages relatively more at lower quantiles. Within the public sector, employment in that sector increases wages of the median worker and reduces wage inequality. Presence of a labor union increases relatively more private sector wages at lower quantiles. Unions reduce wage inequality within the union private sector and increase average wages within that sector. In the public sector, the presence of a labor union increases wages of men at lower quantiles at a lower rate than in the private sector. Self‐employment decreases wages at lower quantiles and increases wages at higher quantiles. Urban location affects wages in a U‐shaped pattern as one moves from lower to higher quantiles. Rates of return to experience are higher for men at higher quantiles. Experience increases men's wage inequality.

Suggested Citation

  • Evangelos M. Falaris, 2008. "A Quantile Regression Analysis of Wages in Panama," Review of Development Economics, Wiley Blackwell, vol. 12(3), pages 498-514, August.
    • Handle: RePEc:bla:rdevec:v:12:y:2008:i:3:p:498-514
    DOI: 10.1111/j.1467-9361.2008.00442.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1467-9361.2008.00442.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1467-9361.2008.00442.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Henry S. Farber & Robert Gibbons, 1996. "Learning and Wage Dynamics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(4), pages 1007-1047.
    4. 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.
    5. 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.
    6. 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.
    7. Alan B. Krueger, 1993. "How Computers Have Changed the Wage Structure: Evidence from Microdata, 1984–1989," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 33-60.
    8. 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.
    9. 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.
    10. 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.
    11. John Pencavel, 1996. "The Legal Framework for Collective Bargaining in Developing Economies," Working Papers 97008, Stanford University, Department of Economics.
    12. repec:bla:econom:v:65:y:1998:i:260:p:507-34 is not listed on IDEAS
    13. 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.
    14. 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.
    15. 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.
    16. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    17. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. repec:pru:wpaper:33 is not listed on IDEAS
    3. 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.
    4. Sam Jones & Thomas Pave Sohnesen & Neda Trifkovic, 2023. "Educational expansion and shifting private returns to education: Evidence from Mozambique," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(6), pages 1407-1428, August.
    5. 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.
    6. Javier Alejo & Leonardo Gasparini & Gabriel Montes-Rojas & Walter Sosa-Escudero, 2024. "A decomposition method to evaluate the ‘paradox of progress’, with evidence for Argentina," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 22(2), pages 453-472, June.
    7. S Madheswaran, 2016. "The Changing Rates of Return to Education in India: Evidence from NSS Data," Working Papers id:11324, eSocialSciences.
    8. 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.
    9. 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.
    10. Bola Amoke Awotide & Adebayo Ogunniyi & Kehinde Oluseyi Olagunju & Lateef Olalekan Bello & Amadou Youssouf Coulibaly & Alexander Nimo Wiredu & Bourémo Kone & Aly Ahamadou & Victor Manyong & Tahirou Ab, 2022. "Evaluating the Heterogeneous Impacts of Adoption of Climate-Smart Agricultural Technologies on Rural Households’ Welfare in Mali," Agriculture, MDPI, vol. 12(11), pages 1-16, November.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.

    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. 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. Michael Chletsos & Stelios Roupakias, 2020. "Education and wage inequality before and during the fiscal crisis: A quantile regression analysis for Greece 2006–2016," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1333-1364, November.
    3. 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, March.
    4. Szilvia Hamori & Anna Lovasz, 2011. "Can a fifty percent increase in public sector wages improve the position of public sector employees in the long run? An assessment of the public-private income gap in Hungary," Budapest Working Papers on the Labour Market 1106, Institute of Economics, Centre for Economic and Regional Studies.
    5. Lovász, Anna & Altwicker-Hámori, Szilvia, 2013. "A köz- és a magánszféra kereseti különbségei Magyarországon, 2002-2008. Javíthat-e hosszú távon a közalkalmazottak relatív helyzetén egy 50 százalékos béremelés? [An assessment of Hungary s public/," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 500-522.
    6. Wiji Arulampalam & Alison Booth & Mark Bryan, 2010. "Are there asymmetries in the effects of training on the conditional male wage distribution?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(1), pages 251-272, January.
    7. de la Rica, Sara & Dolado, Juan J. & Llorens, Vanesa, 2005. "Ceiling and Floors: Gender Wage Gaps by Education in Spain," IZA Discussion Papers 1483, Institute of Labor Economics (IZA).
    8. Christophe Muller & Christophe J. Nordman, 2008. "Intra-Firm Human Capital Externalities in Tunisia," THEMA Working Papers 2008-38, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    9. Balestra, Simone & Backes-Gellner, Uschi, 2017. "Heterogeneous returns to education over the wage distribution: Who profits the most?," Labour Economics, Elsevier, vol. 44(C), pages 89-105.
    10. Christophe Muller & Christophe Nordman, 2004. "Which Human Capital Matters For Rich And Poor'S Wages: Evidence From Matched Worker-Firm Data From Tunisia," Working Papers. Serie AD 2004-28, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    11. 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.
    12. Selahattin Güriş & Ebru Çağlayan, 2012. "Returns to education and wages in Turkey: robust and resistant regression," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(5), pages 1407-1416, August.
    13. McMillen, Daniel P., 2008. "Changes in the distribution of house prices over time: Structural characteristics, neighborhood, or coefficients?," Journal of Urban Economics, Elsevier, vol. 64(3), pages 573-589, November.
    14. Christophe Muller & Christophe Nordman, 2005. "Human capital and wages in two leading industries in Tunisia: evidence from matched worker-firm data," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 48(1-2), pages 183-208.
    15. Ahmed Nawaz Hakro & Yaseen Ghulam & Shabbar Jaffry & Vyoma Shah, 2021. "Employment Choices and Wage Differentials: Evidence on Labor Force Data Sets from Pakistan," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 64(1), pages 199-216, March.
    16. Bartelsman, Eric & Dobbelaere, Sabien & Peters, Bettina, 2013. "Allocation of Human Capital and Innovation at the Frontier: Firm-Level Evidence on Germany and the Netherlands," IZA Discussion Papers 7540, Institute of Labor Economics (IZA).
    17. Fasih, Tazeen & Kingdon, Geeta & Patrinos, Harry Anthony & Sakellariou, Chris & Soderbom, Mans, 2012. "Heterogeneous returns to education in the labor market," Policy Research Working Paper Series 6170, The World Bank.
    18. Farshid Vahid & Pushkar Maitra, 2005. "The Effect of Household Characteristics on Living Standards in South Africa 1993 - 98: A Quantile Regression Analysis with Sample Attrition," ANU Working Papers in Economics and Econometrics 2005-452, Australian National University, College of Business and Economics, School of Economics.
    19. Knud MUNK, 2010. "Optimal Border Taxes in Developing Countries: On the Importance of a Large Informal Sector," EcoMod2010 259600119, EcoMod.
    20. Santiago Budria, 2010. "Schooling and the distribution of wages in the European private and public sectors," Applied Economics, Taylor & Francis Journals, vol. 42(8), pages 1045-1054.

    More about this item

    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

    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:bla:rdevec:v:12:y:2008:i:3:p:498-514. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1363-6669 .

    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.