IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/42589.html
   My bibliography  Save this paper

Mobility, wages and gender across Europe

Author

Listed:
  • Contreras, Dulce/D
  • Sánchez, Rosario/R
  • Soria, Delfina/D

Abstract

In this paper, the socioeconomic and individual characteristics that favor mobility are analyzed. The stochastic frontier technique is used as an instrument of analysis to measure the differences that arise between the potential wage and the one that should be obtained for an individual with particular socioeconomic characteristics given his/her investment in human capital. A data panel of young workers who have been working at least for seven consecutive years is used for this analysis. The data set comes from the European Community Household Panel for the period 1995-2001. The results show that Spanish and Italian women have the higher changing probability; this high probability has a negative effect on the potential wage because it increases the gap between the potential and the observed wage.

Suggested Citation

  • Contreras, Dulce/D & Sánchez, Rosario/R & Soria, Delfina/D, 2012. "Mobility, wages and gender across Europe," MPRA Paper 42589, University Library of Munich, Germany, revised Nov 2012.
  • Handle: RePEc:pra:mprapa:42589
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/42589/1/MPRA_paper_42589.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alan Manning & Joanna Swaffield, 2008. "The gender gap in early-career wage growth," Economic Journal, Royal Economic Society, vol. 118(530), pages 983-1024, July.
    2. Fare,Rolf & Grosskopf,Shawna & Lovell,C. A. Knox, 2008. "Production Frontiers," Cambridge Books, Cambridge University Press, number 9780521072069.
    3. 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.
    4. Ma Ángeles Díaz & Rosario Sánchez, 2011. "Gender and potential wage in Europe: a stochastic frontier approach," International Journal of Manpower, Emerald Group Publishing Limited, vol. 32(4), pages 410-425, July.
    5. Michael D. Robinson, 1993. "Measuring Discrimination against Females: Is the “Non-Discriminatory†Wage the Male or the Female Wage?," The American Economist, Sage Publications, vol. 37(1), pages 45-50, March.
    6. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.
    7. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, May.
    8. Altonji, Joseph G. & Blank, Rebecca M., 1999. "Race and gender in the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 48, pages 3143-3259, Elsevier.
    9. Laura Hospido, 2009. "Gender differences in wage growth and job mobility of young workers in Spain," Investigaciones Economicas, Fundación SEPI, vol. 33(1), pages 5-37, January.
    10. Joseph G. Altonji & Christina H. Paxson, 1992. "Labor Supply, Hours Constraints, and Job Mobility," Journal of Human Resources, University of Wisconsin Press, vol. 27(2), pages 256-278.
    11. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    12. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    13. M. Angeles Diaz & Rosario Sanchez, 2008. "Temporary contracts and young women in Spain," Applied Economics, Taylor & Francis Journals, vol. 40(11), pages 1435-1442.
    14. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    15. Peter Dawson & Timothy Hinks & Duncan Watson, 2001. "German Wage Underpayment: An Investigation into Labor Market Inefficiency and Discrimination," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 70(1), pages 107-114.
    16. Bishop, John A. & Grodner, Andrew & Liu, Haiyong & Chiou, Jong-Rong, 2007. "Gender earnings differentials in Taiwan: A stochastic frontier approach," Journal of Asian Economics, Elsevier, vol. 18(6), pages 934-945, December.
    17. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    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. M. Ángeles Díaz & Rosario Sánchez, 2013. "Young Workers, Marital Status And Wage Gap," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 21(1), pages 57-70, Spring.
    2. Dulce Contreras & Rosario Sánchez & Delfina Soria, 2016. "Geographical Mobility and Wage Efficiency for Women and Men for Four European Countries," Hacienda Pública Española / Review of Public Economics, IEF, vol. 216(1), pages 61-80, March.
    3. Ma Ángeles Díaz & Rosario Sánchez, 2011. "Gender and potential wage in Europe: a stochastic frontier approach," International Journal of Manpower, Emerald Group Publishing Limited, vol. 32(4), pages 410-425, July.
    4. Khalid Maman Waziri, 2017. "Generalized Glass Ceilings in the United States – A Stochastic Metafrontier Approach," Working Papers halshs-01569834, HAL.
    5. Massimo Del Gatto & Adriana Di Liberto & Carmelo Petraglia, 2011. "Measuring Productivity," Journal of Economic Surveys, Wiley Blackwell, vol. 25(5), pages 952-1008, December.
    6. Yuxin Li & Karen Mumford, "undated". "Aspirations, Expectations and Education Outcomes for Children in Britain: Considering Relative Measures of Family Efficiency," Discussion Papers 09/26, Department of Economics, University of York.
    7. repec:zbw:rwirep:0352 is not listed on IDEAS
    8. Napari, Sami, . "Essays on the Gender Wage Gap in Finland," ETLA A, The Research Institute of the Finnish Economy, number 44.
    9. Bechara, Peggy, 2012. "Gender Segregation and Gender Wage Differences during the Early Labour Market Career," Ruhr Economic Papers 352, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    10. Kashiwagi, Kenichi & Mtimet, Nadhem & Zaibet, Lokman & Nagaki, Masakazu, 2010. "Technical efficiency of olive oil manufacturing and efficacy of modernization programme in Tunisia," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 96195, African Association of Agricultural Economists (AAAE).
    11. Napari, Sami, 2009. "Gender differences in early-career wage growth," Labour Economics, Elsevier, vol. 16(2), pages 140-148, April.
    12. Sergio Salas Landeau & Dante Contreras, 2003. "Chilean labor market efficiency: an earning frontier approach," Estudios de Economia, University of Chile, Department of Economics, vol. 30(1 Year 20), pages 87-102, June.
    13. Vera A. Adamchik & Arthur E. King, 2007. "Labor Market Efficiency In Poland: A Stochastic Wage Frontier Analysis," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 1(2), pages 41-50.
    14. Peggy Bechara, 2012. "Gender Segregation and Gender Wage Differences during the Early Labour Market Career," Ruhr Economic Papers 0352, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    15. Abdul Wadud, 2013. "Impact of Microcredit on Agricultural Farm Performance and Food Security in Bangladesh," Working Papers 14, Institute of Microfinance (InM).
    16. Joanna María Bashford-Fernández & Ana Rodríguez-Álvarez, 2019. "Wage Frontiers in Pre and Post-crisis Spain: Implications for Welfare and Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(2), pages 579-608, June.
    17. Dhehibi, Boubaker & Lachaal, Lassaad & Elloumi, Mohamed & Messaoud, Emna B., 2007. "Measurement and Sources of Technical Inefficiency in the Tunisian Citrus Growing Sector," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9391, European Association of Agricultural Economists.
    18. Arthur Charpentier & Emmanuel Flachaire & Antoine Ly, 2017. "Econom\'etrie et Machine Learning," Papers 1708.06992, arXiv.org, revised Mar 2018.
    19. Bøler, Esther Ann & Javorcik, Beata & Ulltveit-Moe, Karen Helene, 2018. "Working across time zones: Exporters and the gender wage gap," Journal of International Economics, Elsevier, vol. 111(C), pages 122-133.
    20. Bos, J.W.B. & Schmiedel, H., 2007. "Is there a single frontier in a single European banking market?," Journal of Banking & Finance, Elsevier, vol. 31(7), pages 2081-2102, July.
    21. Solomon Polachek, 2003. "Mincer's Overtaking Point and the Life Cycle Earnings Distribution," Review of Economics of the Household, Springer, vol. 1(4), pages 273-304, December.

    More about this item

    Keywords

    Wage differentials; mobility; Europe; labor economic;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:42589. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.