Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/nbp/nbpmis/226.html
   My bibliography  Save this paper

Returns to skills in Europe – same or different? The empirical importance of the systems of regressions approach

Author

Listed:
  • Mateusz Pipien
  • Sylwia Roszkowska
Abstract
We estimate the Mincer equations for a set of European countries. The variability of parameters, describing the impact of years of schooling and the experience to the wages, was obtained by application of the system of Seemingly Unrelated Regression Equations (SURE). The differences between parameters were tested given two alternative stochastic assumptions. In the first model, no contemporaneous correlations between error terms in the system is imposed. This may be related to the standard country regression approach. In the second approach the unrestricted covariance matrix is considered, making error terms stochastically dependent. The contemporaneous correlations of error terms in the SURE system were empirically supported. Also, rich parameterisation of covariance matrix of contemporaneous relations reduced statistical uncertainty about differences in parameters describing return on education effect. Consequently, the country heterogeneity of return on education, which seems intuitively correct, was obtained in the system of regressions with complex stochastic structure.

Suggested Citation

  • Mateusz Pipien & Sylwia Roszkowska, 2015. "Returns to skills in Europe – same or different? The empirical importance of the systems of regressions approach," NBP Working Papers 226, Narodowy Bank Polski.
    • Handle: RePEc:nbp:nbpmis:226
    as

    Download full text from publisher

    File URL: https://static.nbp.pl/publikacje/materialy-i-studia/226_en.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Willis, Robert J & Rosen, Sherwin, 1979. "Education and Self-Selection," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 7-36, October.
    2. Daniel Münich & Jan Svejnar & Katherine Terrell, 2005. "Returns to Human Capital Under The Communist Wage Grid and During the Transition to a Market Economy," The Review of Economics and Statistics, MIT Press, vol. 87(1), pages 100-123, February.
    3. Claudio E. Montenegro & Harry Anthony Patrinos, 2014. "Comparable Estimates of Returns to Schooling Around the World," Working Papers wp390, University of Chile, Department of Economics.
    4. Katharine G. Abraham & James R. Spletzer & Michael J. Harper, 2010. "Introduction to "Labor in the New Economy"," NBER Chapters, in: Labor in the New Economy, pages 1-13, National Bureau of Economic Research, Inc.
    5. Moretti, Enrico, 2004. "Estimating the social return to higher education: evidence from longitudinal and repeated cross-sectional data," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 175-212.
    6. 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.
    7. George Psacharopoulos & Harry Anthony Patrinos, 2004. "Returns to investment in education: a further update," Education Economics, Taylor & Francis Journals, vol. 12(2), pages 111-134.
    8. Newell, Andrew & Reilly, Barry, 2001. "The gender pay gap in the transition from communism: some empirical evidence," Economic Systems, Elsevier, vol. 25(4), pages 287-304, December.
    9. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    10. Øivind A. Nilsen & Arvid Raknerud & Marina Rybalka & Terje Skjerpen, 2011. "The Importance Of Skill Measurement For Growth Accounting," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(2), pages 293-305, June.
    11. Haizheng Li & Yunling Liang & Barbara M. Fraumeni & Zhiqiang Liu & Xiaojun Wang, 2013. "Human Capital In China, 1985–2008," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(2), pages 212-234, June.
    12. Psacharopoulos, George, 1994. "Returns to investment in education: A global update," World Development, Elsevier, vol. 22(9), pages 1325-1343, September.
    13. Li, Mingliang & Tobias, Justin L., 2011. "Bayesian inference in a correlated random coefficients model: Modeling causal effect heterogeneity with an application to heterogeneous returns to schooling," Journal of Econometrics, Elsevier, vol. 162(2), pages 345-361, June.
    14. Hubert Strauss & Christine de la Maisonneuve, 2007. "The Wage Premium on Tertiary Education: New Estimates for 21 OECD Countries," OECD Economics Department Working Papers 589, OECD Publishing.
    15. Jacob A. Mincer, 1974. "Age and Experience Profiles of Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 64-82, National Bureau of Economic Research, Inc.
    16. Jacob Mincer, 1958. "Investment in Human Capital and Personal Income Distribution," Journal of Political Economy, University of Chicago Press, vol. 66(4), pages 281-281.
    17. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    18. Katharine G. Abraham & James R. Spletzer & Michael Harper, 2010. "Labor in the New Economy," NBER Books, National Bureau of Economic Research, Inc, number abra08-1.
    19. Abraham, Katharine G. & Spletzer, James R. & Harper, Michael (ed.), 2010. "Labor in the New Economy," National Bureau of Economic Research Books, University of Chicago Press, number 9780226001432.
    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. Paweł Strawiński, 2009. "Efekt zewnętrzny wykształcenia," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 5-6, pages 39-60.
    2. 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].
    3. Flabbi, Luca & Paternostro, Stefano & Tiongson, Erwin R., 2008. "Returns to education in the economic transition: A systematic assessment using comparable data," Economics of Education Review, Elsevier, vol. 27(6), pages 724-740, December.
    4. Muhammad Nauman Malik & Masood Sarwar Awan, 2016. "Analysing Econometric Bias and Non-linearity in Returns to Education of Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(4), pages 837-851.
    5. Maria Manuel Campos & Hugo Reis, 2018. "Returns to schooling in the Portuguese economy: a reassessment," Public Sector Economics, Institute of Public Finance, vol. 42(2), pages 215-242.
    6. Pham, Thai-Hung & Reilly, Barry, 2007. "The gender pay gap in Vietnam, 1993-2002: A quantile regression approach," Journal of Asian Economics, Elsevier, vol. 18(5), pages 775-808, October.
    7. Ben-Halima, B. & Chusseau, N. & Hellier, J., 2014. "Skill premia and intergenerational education mobility: The French case," Economics of Education Review, Elsevier, vol. 39(C), pages 50-64.
    8. Yubilianto, 2020. "Return to education and financial value of investment in higher education in Indonesia," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-28, December.
    9. Jacek Liwiński, 2017. "Premia płacowa z kształcenia na studiach podyplomowych," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 5, pages 105-127.
    10. Ukaj MIC & Mustafa Topxhiu RAHMIJE, 2019. "The returns to investment in education: Some theoretical and empirical insights," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 193-203.
    11. Imed Limam & Abdelwahab Ben Hafaiedh, 2017. "Education, Earnings and Returns to Schooling in Tunisia," Working Papers 1162, Economic Research Forum, revised 12 Jun 2017.
    12. Reham Rizk, 2016. "Returns to Education: An Updated Comparison from Arab Countries," Working Papers 986, Economic Research Forum, revised Apr 2016.
    13. Tinh Doan & Quan Le & Tuyen Quang Tran, 2018. "Lost in Transition? Declining Returns to Education in Vietnam," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 30(2), pages 195-216, April.
    14. Thomas Melonio & Xavier Timbeau, 2006. "L'immatérielle richesse des nations," Revue de l'OFCE, Presses de Sciences-Po, vol. 97(2), pages 329-363.
    15. Neil Foster-McGregor & Sebastian Leitner & Sandra M. Leitner & Johannes Pöschl & Robert Stehrer, 2014. "Earnings Distributions and Dimensions of Inequality," wiiw Research Reports 399, The Vienna Institute for International Economic Studies, wiiw.
    16. García Ramos, Yboon & Flores-Bazán, Fabian & Nicolas Hadjisavvas, 2017. "About the sum of quasiconvex functions," Working Papers 17-07, Centro de Investigación, Universidad del Pacífico.
    17. Theodore R. Breton & Andrew S. Breton, 2021. "Growth in a macro‐Mincer model: Good results with schooling and experience interactions," Review of Development Economics, Wiley Blackwell, vol. 25(2), pages 563-581, May.
    18. Gianni De Fraja & Sara Lemos & James Rockey, 2021. "The Wounds That Do Not Heal: The Lifetime Scar of Youth Unemployment," Economica, London School of Economics and Political Science, vol. 88(352), pages 896-941, October.
    19. 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.
    20. Mueller, Normann, 2007. "(Mis-)Understanding Education Externalities," MPRA Paper 5331, University Library of Munich, Germany, revised Mar 2007.

    More about this item

    Keywords

    Mincer equation; returns to skills; SURE; Zellner estimator;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

    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:nbp:nbpmis:226. 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: Jakub Growiec (email available below). General contact details of provider: https://edirc.repec.org/data/nbpgvpl.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.