IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa10p113.html
   My bibliography  Save this paper

Decomposition of labor earnings: an analysis between metropolitan regions and non-metropolitan regions in Brazil

Author

Listed:
  • Jefferson Andronio Ramundo Staduto
  • Amarildo Hersen

Abstract

This paper aim at examining the dispersion of intra and inter-regional of principal labor earnings of the Metropolitan Regions (MR) and Non-Metropolitan Regions (NMR) of the States of Bahia, Ceará, Minas Gerais, Pará, Paraná, Pernambuco, Rio de Janeiro, Rio Grande do Sul and Sao Paulo, Brazil. It were applied the Chow structural test and decomposition of Oaxaca, and Heckman procedure. It was used data from the National Research by House Sample at 2006. The theoric approach was based on the Theory of Human Capital and Theory of Segmentation Labor Market. The results indicated that regional aspects and personal attributes of workers contributed for explaining the gap between labor earnings but were not homogeneous among States. Finally in the States that have highest Gross Domestic Product the regional effects were more important factors for explaining the differences for labor earnings among of MR and NMR.

Suggested Citation

  • Jefferson Andronio Ramundo Staduto & Amarildo Hersen, 2011. "Decomposition of labor earnings: an analysis between metropolitan regions and non-metropolitan regions in Brazil," ERSA conference papers ersa10p113, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa10p113
    as

    Download full text from publisher

    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa10/ERSA2010finalpaper113.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gary S. Becker, 1962. "Investment in Human Capital: A Theoretical Analysis," NBER Chapters, in: Investment in Human Beings, pages 9-49, National Bureau of Economic Research, Inc.
    2. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    3. Vietorisz, Thomas & Harrison, Bennett, 1973. "Labor Market Segmentation: Positive Feedback and Divergent Development," American Economic Review, American Economic Association, vol. 63(2), pages 366-376, May.
    4. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    5. Miguel Nathan Foguel & João Pedro Azevedo, 2006. "Uma Decomposição da Desigualdade de Rendimentos do Trabalho no Brasil: 1984-2005," Discussion Papers 1247, Instituto de Pesquisa Econômica Aplicada - IPEA.
    6. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    7. Rangel Galinari & Marco Aurélio Crocco & Mauro Borges Lemos & Maria Fernanda Diamante Basques, 2003. "O efeito das economias de aglomeração sobre os salários industriais: uma aplicação ao caso brasileiro," Textos para Discussão Cedeplar-UFMG td213, Cedeplar, Universidade Federal de Minas Gerais.
    8. Topel, Robert H, 1986. "Local Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 94(3), pages 111-143, June.
    9. Molho, Ian, 1992. "Local Pay Determination," Journal of Economic Surveys, Wiley Blackwell, vol. 6(2), pages 155-194.
    10. Patricia E. Beeson & Erica L. Groshen, 1991. "Components of city-size wage differentials, 1973-1988," Economic Review, Federal Reserve Bank of Cleveland, vol. 27(Q IV), pages 10-24.
    11. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    12. Jacob Mincer, 1958. "Investment in Human Capital and Personal Income Distribution," Journal of Political Economy, University of Chicago Press, vol. 66, pages 281-281.
    13. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    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. Günalp, Burak & Cilasun, Seyit Mümin & Acar, Elif Öznur, 2013. "Male-Female Labor Market Participation and the Extent of Gender-Based Wage Discrimination in Turkey," MPRA Paper 51503, University Library of Munich, Germany.
    2. Flávio Kauê Fiuza-Moura & Katy Maia & Solange Cassia Inforzato de Souza & Magno Rogério Gomes & Paulo Reis Mourão, 2019. "The luck of being of the right gender and color: a detailed discussion about the wage gaps in the Brazilian manufacturing industry," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(3), pages 1275-1300, May.
    3. Günalp, Burak & Cilasun, Seyit Mümin & Acar, Elif Öznur, 2013. "Male-Female Labor Market Participation and the Extent of Gender-Based Wage Discrimination in Turkey," MPRA Paper 51503, University Library of Munich, Germany.
    4. Hans Dietrich & Harald Pfeifer & Felix Wenzelmann, 2016. "The more they spend, the more I earn? Firms' training investments and post-training wages of apprentices," Economics of Education Working Paper Series 0116, University of Zurich, Department of Business Administration (IBW).
    5. Rycx, François & Santosuosso, Giulia & Vermeylen, Guillaume, 2022. "The Over-education Wage Penalty Among PhD Holders: A European Perspective," GLO Discussion Paper Series 1126, Global Labor Organization (GLO).
    6. Gustavo Yamada, 2007. "Retornos a la educación superior en el mercado laboral: ¿vale la pena el esfuerzo?," Diagnóstico y propuesta, Consorcio de Investigación Económica y Social.
    7. Idrisov, Georgiy (Идрисов, Георгий) & Taganov, B.V. (Таганов, Б.), 2016. "Research of the Effect of Growth of Openness of the Russian Economy on Income Inequality in Russia [Исследование Влияния Роста Открытости Российской Экономики На Неравенство Доходов Населения В Рос," Working Papers 3136, Russian Presidential Academy of National Economy and Public Administration.
    8. Polachek, Solomon W., 2008. "Earnings Over the Life Cycle: The Mincer Earnings Function and Its Applications," Foundations and Trends(R) in Microeconomics, now publishers, vol. 4(3), pages 165-272, April.
    9. Atif Khan Jadoon & Ambreen Sarwar, 2020. "Is Trade Liberalisation Pro‐Poor in Pakistan? Evidence from Large‐Scale Manufacturing," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 53(3), pages 360-394, September.
    10. Stefan Gravemeyer & Thomas Gries & Jinjun Xue, 2008. "Discrimination, Income Determination and Inequality – The case of Shenzhen," Working Papers CIE 16, Paderborn University, CIE Center for International Economics.
    11. Stefan Gravemeyer & Thomas Gries & Jinjun Xue, 2011. "Income Determination and Income Discrimination in Shenzhen," Urban Studies, Urban Studies Journal Limited, vol. 48(7), pages 1457-1475, May.
    12. Letícia Xander Russo & Joilson Dias, 2016. "The Health Influence On Returns To Education In Brazil: A Nonlinear Approach," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 200, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    13. Gomes, Magno Rogério & Souza, Solange de Cássia Inforzato de & Mantovani, Gabriela Gomes & Paiva, Vanessa Fortunato de, 2020. "Wage gap decomposition models: A methodological contribution," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 39(2), March.
    14. Ferreira Freire Guimarães, Carla Regina & Silva, Joaquim Ramos, 2016. "Pay gap by gender in the tourism industry of Brazil," Tourism Management, Elsevier, vol. 52(C), pages 440-450.
    15. Gomes, Magno Rogério & Souza, Solange de Cássia Inforzato de & Mantovani, Gabriela Gomes & Paiva, Vanessa Fortunato de, 2019. "Wage gap decomposition models: A methodological contribution," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 39(2).
    16. Boris Hirsch & Marion König & Joachim Möller, 2013. "Is There a Gap in the Gap? Regional Differences in the Gender Pay Gap," Scottish Journal of Political Economy, Scottish Economic Society, vol. 60(4), pages 412-439, September.
    17. Jean-Marc Fournier & Isabell Koske, 2012. "The determinants of earnings inequality: evidence from quantile regressions," OECD Journal: Economic Studies, OECD Publishing, vol. 2012(1), pages 7-36.
    18. Yasser Razak Hussain & Pranab Mukhopadhyay, 2023. "How Much do Education, Experience, and Social Networks Impact Earnings in India? A Panel Data Analysis Disaggregated by Class, Gender, Caste and Religion," SAGE Open, , vol. 13(4), pages 21582440231, December.
    19. Mona Said & Fatma El-Hamidi, 2008. "Taking Technical Education Seriously in MENA: Determinants, Labor Market Implications and Policy Lessons," Working Papers 450, Economic Research Forum, revised 09 Jan 2008.
    20. Kenneth L. Sørensen & Rune Vejlin, 2014. "Return To Experience And Initial Wage Level: Do Low Wage Workers Catch Up?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(6), pages 984-1006, September.

    More about this item

    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:wiw:wiwrsa:ersa10p113. 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: Gunther Maier (email available below). General contact details of provider: http://www.ersa.org .

    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.