IDEAS home Printed from https://ideas.repec.org/a/prg/jnlcfu/v2017y2017i3id501p57-68.html
   My bibliography  Save this article

The estimation of Mincer function in conditions of the Czech republic
[Odhad Mincerovy funkce v podmínkách České republiky]

Author

Listed:
  • Savina Finardi
  • Jakub Fischer

Abstract

The paper deals with the evaluation of investment in higher education through Mincer's function, which is one of the most important methods of evaluation of this investment. The authors deal with a large set of observations of a total of 20,000, reflecting the positive influence of higher education on the wage earnings of individuals in the conditions of the Czech Republic. However, the positive impact of education attained is not the only relevant factor, but also other factors such as the region, gender and the economic sector affect the total earnings.

Suggested Citation

  • Savina Finardi & Jakub Fischer, 2017. "The estimation of Mincer function in conditions of the Czech republic [Odhad Mincerovy funkce v podmínkách České republiky]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2017(3), pages 57-68.
    • Handle: RePEc:prg:jnlcfu:v:2017:y:2017:i:3:id:501:p:57-68
    DOI: 10.18267/j.cfuc.501
    as

    Download full text from publisher

    File URL: http://cfuc.vse.cz/doi/10.18267/j.cfuc.501.html
    Download Restriction: free of charge
    File URL: http://cfuc.vse.cz/doi/10.18267/j.cfuc.501.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.18267/j.cfuc.501?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Ordaz, Juan Luis, 2008. "The economic returns to education in Mexico: a comparison between urban and rural areas," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    4. 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.
    5. Mr. Robert J. Flanagan, 1995. "Wage Structure in the Transition of the Czech Economy," IMF Working Papers 1995/036, International Monetary Fund.
    6. James J. Heckman & Lance J. Lochner & Petra E. Todd, 2008. "Earnings Functions and Rates of Return," Journal of Human Capital, University of Chicago Press, vol. 2(1), pages 1-31.
    7. Robert J. Flanagan, 1995. "Wage Structures in the Transition of the Czech Economy," IMF Staff Papers, Palgrave Macmillan, vol. 42(4), pages 836-854, December.
    8. Heckman, James J. & Lochner, Lance J. & Todd, Petra E., 2006. "Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 7, pages 307-458, Elsevier.
    9. Byeongju Jeong & Michal Kejak & Viatcheslav Vinogradov, 2008. "Changing composition of human capital The Czech Republic, Hungary and Poland1," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 16(2), pages 247-271, April.
    10. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    11. Byeongju Jeong & Michal Kejak & Viatcheslav Vinogradov, 2005. "Changing Composition of Human Capital: The Czech Republic, Hungary, and Poland," CERGE-EI Working Papers wp248, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    12. Corrado Andini, 2007. "Returns to education and wage equations: a dynamic approach," Applied Economics Letters, Taylor & Francis Journals, vol. 14(8), pages 577-579.
    13. 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.
    14. Corrado Andini, 2010. "A dynamic Mincer equation with an application to Portuguese data," Applied Economics, Taylor & Francis Journals, vol. 42(16), pages 2091-2098.
    15. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    16. Gary S. Becker, 1975. "Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education, Second Edition," NBER Books, National Bureau of Economic Research, Inc, number beck75-1.
    17. Robert S. Chase, 1998. "Markets for Communist Human Capital: Returns to Education and Experience in the Czech Republic and Slovakia," ILR Review, Cornell University, ILR School, vol. 51(3), pages 401-423, April.
    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. Henderson, Daniel J. & Polachek, Solomon W. & Wang, Le, 2011. "Heterogeneity in schooling rates of return," Economics of Education Review, Elsevier, vol. 30(6), pages 1202-1214.
    2. Andini, Corrado, 2009. "How Fast Do Wages Adjust to Human-Capital Productivity? Dynamic Panel-Data Evidence from Belgium, Denmark and Finland," IZA Discussion Papers 4583, Institute of Labor Economics (IZA).
    3. Deniz Ozabaci & Daniel Henderson, 2015. "Additive kernel estimates of returns to schooling," Empirical Economics, Springer, vol. 48(1), pages 227-251, February.
    4. Savina Finardi & Jakub Fischer & Petr Mazouch, 2012. "Odhad míry návratnosti investic do vysokoškolského vzdělání podle oborů, pohlaví a regionů [The Estimation of Internal Rates of Return on Human Capital Investment Differenced by Study Fields, Sex a," Politická ekonomie, Prague University of Economics and Business, vol. 2012(5), pages 563-589.
    5. 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.
    6. 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.
    7. 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.
    8. Marta Lachowska, 2013. "Employment Relations and Wages: What Can We Learn from Subjective Assessments?," Upjohn Working Papers 13-196, W.E. Upjohn Institute for Employment Research.
    9. Hermannsson, Kristinn & Lisenkova, Katerina & Lecca, Patrizio & McGregor, Peter G & Swales, J Kim, 2010. "The Importance of Graduates for the Scottish Economy: A Micro-to-Macro Approach," SIRE Discussion Papers 2010-80, Scottish Institute for Research in Economics (SIRE).
    10. Diego Restuccia & Guillaume Vandenbroucke, 2014. "Explaining Educational Attainment across Countries and over Time," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(4), pages 824-841, October.
    11. repec:csa:wpaper:2013/13 is not listed on IDEAS
    12. Oliver Morrissey & Susan Namirembe Kavuma & Richard Upward, 2015. "Private returns to education for wage-employees and the self-employed in Uganda," WIDER Working Paper Series 021, World Institute for Development Economic Research (UNU-WIDER).
    13. Sebastian Kripfganz & Claudia Schwarz, 2019. "Estimation of linear dynamic panel data models with time‐invariant regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(4), pages 526-546, June.
    14. Ana Paula Martins, 2018. "Concentration and Other Wage Determinants," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 61(3), pages 75-109.
    15. Necker, Sarah & Voskort, Andrea, 2014. "Intergenerational transmission of risk attitudes – A revealed preference approach," European Economic Review, Elsevier, vol. 65(C), pages 66-89.
    16. Corrado Andini, 2013. "How well does a dynamic Mincer equation fit NLSY data? Evidence based on a simple wage-bargaining model," Empirical Economics, Springer, vol. 44(3), pages 1519-1543, June.
    17. Phan, Diep & Coxhead, Ian, 2013. "Long-run costs of piecemeal reform: Wage inequality and returns to education in Vietnam," Journal of Comparative Economics, Elsevier, vol. 41(4), pages 1106-1122.
    18. Durdana Qaiser Gillani & Karamat Ali, 2013. "Employment status and earning functions in urban informal sector : A case of Southern Punjab, Pakistan," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 23(2), pages 97-113.
    19. 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.
    20. Grit Muehler & Michael Beckmann & Bernd Schauenberg, 2007. "The returns to continuous training in Germany: new evidence from propensity score matching estimators," Review of Managerial Science, Springer, vol. 1(3), pages 209-235, November.
    21. Corrado Andini, 2022. "Tertiary education for all and wage inequality: policy insights from quantile regression," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(6), pages 1281-1296, November.

    More about this item

    Keywords

    Human capital; Higher education; Mincer function; Lidský kapitál; Vysokoškolské vzdělání; Mincerova funkce;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:prg:jnlcfu:v:2017:y:2017:i:3:id:501:p:57-68. 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: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.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.