IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp4332.html
   My bibliography  Save this paper

Count Your Hours: Returns to Education in Poland

Author

Listed:
  • Myck, Michal

    (Centre for Economic Analysis, CenEA)

  • Nici?ska, Anna

    (University of Warsaw)

  • Morawski, Leszek

    (Warsaw University)

Abstract

We show how significant may be the difference in the estimated returns to education in Poland conditional on the measure of wages used and the estimation approach applied. Combining information from two different Polish surveys from 2005 and taking advantage of the Polish microsimulation model (SIMPL) we demonstrate how different the results can be depending on whether we use net or gross, and monthly or hourly wages, and show how important selection correction is for the conclusion. While there are several papers examining the wage equation in Poland, so far none of them has provided a comprehensive analysis of the effects of using different methods and the issue of selection-correction in the estimation of the wage equation in Poland has not been examined in detail. Annual rates of return to university education for men vary from 6.7% to 9.7% and for women from 8.0% to 13.4% when we compare results using net monthly wages without correcting for labor market selection to those from a selection corrected specification using gross hourly wages. We also demonstrate that simple linear estimation performs relatively well for men in comparison to our preferred selection corrected estimation, while using family demographics as exclusion restrictions seems to be the "second best" in the case of the wage equation estimation for women.

Suggested Citation

  • Myck, Michal & Nici?ska, Anna & Morawski, Leszek, 2009. "Count Your Hours: Returns to Education in Poland," IZA Discussion Papers 4332, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp4332
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp4332.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Richard Blundell & Howard Reed & Thomas M. Stoker, 2003. "Interpreting Aggregate Wage Growth: The Role of Labor Market Participation," American Economic Review, American Economic Association, vol. 93(4), pages 1114-1131, September.
    2. Richard Blundell & Alan Duncan & Julian McCrae & Costas Meghir, 2000. "The labour market impact of the working families’ tax credit," Fiscal Studies, Institute for Fiscal Studies, vol. 21(1), pages 75-103, March.
    3. Fiona Duffy & Patrick Paul Walsh, 2000. "Individual Pay and Outside Options: Evidence from the Polish Labour Force Survey," William Davidson Institute Working Papers Series 364, William Davidson Institute at the University of Michigan.
    4. Hoynes, Hilary Williamson, 1996. "Welfare Transfers in Two-Parent Families: Labor Supply and Welfare Participation under AFDC-UP," Econometrica, Econometric Society, vol. 64(2), pages 295-332, March.
    5. Callan, Tim & Harmon, Colm, 1999. "The economic return to schooling in Ireland," Labour Economics, Elsevier, vol. 6(4), pages 543-550, November.
    6. repec:bla:etrans:v:15:y:2007:i::p:733-758 is not listed on IDEAS
    7. Keane, Michael P. & Prasad, Eswar S., 2006. "Changes in the structure of earnings during the Polish transition," Journal of Development Economics, Elsevier, vol. 80(2), pages 389-427, August.
    8. Blackburn, McKinley L & Neumark, David, 1995. "Are OLS Estimates of the Return to Schooling Biased Downward? Another Look," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 217-230, May.
    9. Patrick Puhani, 2000. "The Heckman Correction for Sample Selection and Its Critique," Journal of Economic Surveys, Wiley Blackwell, vol. 14(1), pages 53-68, February.
    10. Mroz, Thomas A, 1987. "The Sensitivity of an Empirical Model of Married Women's Hours of Work to Economic and Statistical Assumptions," Econometrica, Econometric Society, vol. 55(4), pages 765-799, July.
    11. Dustmann, Christian & Schmidt, Christoph M., 2000. "The Wage Performance of Immigrant Women: Full-Time Jobs, Part-Time Jobs, and the Role of Selection," IZA Discussion Papers 233, Institute of Labor Economics (IZA).
    12. Richard Blundell & Lorraine Dearden & Barbara Sianesi, 2003. "Evaluating the impact of education on earnings in the UK: Models, methods and results from the NCDS," IFS Working Papers W03/20, Institute for Fiscal Studies.
    13. Harmon, Colm & Walker, Ian, 1995. "Estimates of the Economic Return to Schooling for the United Kingdom," American Economic Review, American Economic Association, vol. 85(5), pages 1278-1286, December.
    14. Abowd, John M & Card, David, 1989. "On the Covariance Structure of Earnings and Hours Changes," Econometrica, Econometric Society, vol. 57(2), pages 411-445, March.
    15. Madden, David, 2008. "Sample selection versus two-part models revisited: The case of female smoking and drinking," Journal of Health Economics, Elsevier, vol. 27(2), pages 300-307, March.
    16. Morawski, Leszek & Myck, Michal, 2010. "'Klin'-ing up: Effects of Polish tax reforms on those in and on those out," Labour Economics, Elsevier, vol. 17(3), pages 556-566, June.
    17. Ashenfelter, Orley & Krueger, Alan B, 1994. "Estimates of the Economic Returns to Schooling from a New Sample of Twins," American Economic Review, American Economic Association, vol. 84(5), pages 1157-1173, December.
    18. 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.
    19. Hurd, Michael D, 1971. "Changes in Wage Rates between 1959 and 1967," The Review of Economics and Statistics, MIT Press, vol. 53(2), pages 189-199, May.
    20. Leung, Siu Fai & Yu, Shihti, 1996. "On the choice between sample selection and two-part models," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 197-229.
    21. Manuel Arellano & Costas Meghir, 1992. "Female Labour Supply and On-the-Job Search: An Empirical Model Estimated Using Complementary Data Sets," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 59(3), pages 537-559.
    22. Francis Vella, 1998. "Estimating Models with Sample Selection Bias: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 127-169.
    23. James Heckman & Edward Vytlacil, 2001. "Identifying The Role Of Cognitive Ability In Explaining The Level Of And Change In The Return To Schooling," The Review of Economics and Statistics, MIT Press, vol. 83(1), pages 1-12, February.
    24. Brunello, Giorgio & Miniaci, Raffaele, 1999. "The economic returns to schooling for Italian men. An evaluation based on instrumental variables1," Labour Economics, Elsevier, vol. 6(4), pages 509-519, November.
    25. Newell, Andrew T. & Socha, Mieczyslaw, 2007. "The Polish Wage Inequality Explosion," IZA Discussion Papers 2644, Institute of Labor Economics (IZA).
    26. Bernhard Boockmann & Viktor Steiner, 2006. "Cohort effects and the returns to education in West Germany," Applied Economics, Taylor & Francis Journals, vol. 38(10), pages 1135-1152.
    27. Griliches, Zvi, 1977. "Estimating the Returns to Schooling: Some Econometric Problems," Econometrica, Econometric Society, vol. 45(1), pages 1-22, January.
    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. Costa-Font, Joan & García-Hombrados, Jorge & Nicińska, Anna, 2024. "Long-lasting effects of indoctrination in school: Evidence from the People’s Republic of Poland," European Economic Review, Elsevier, vol. 161(C).
    2. Jacek Liwiński & Emilia Bedyk, 2016. "Does it pay to invest in the education of children?," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 47.
    3. Małgorzata Kłobuszewska & Magdalena Rokicka, 2016. "Do local characteristics matter? Secondary school track choice in Poland," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 45.
    4. Mikołaj Czajkowski & Tomasz Gajderowicz & Marek Giergiczny & Gabriela Grotkowska & Urszula Sztandar-Sztanderska, 2020. "Choosing the Future: Economic Preferences for Higher Education Using Discrete Choice Experiment Method," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(4), pages 510-539, June.
    5. Marek Rocki, 2021. "The Wage Premium on Higher Education: Evidence from the Polish Graduate Tracking System," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 47-61.
    6. Aleksandra Majchrowska & Sylwia Roszkowska, 2013. "Czy wykształcenie i doświadczenie zawodowe mają znaczenie? Wyniki równania Mincera dla Polski," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 30, pages 235-253.
    7. Paweł Strzelecki & Joanna Tyrowicz, 2015. "Inferring the Adequacy of Wage Expectations Among the Non-Working," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 6, pages 51-69.
    8. Leszek Wincenciak, 2015. "Was It All Worth It? On the Value of Tertiary Education for Generation ’77 in Poland," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 42.
    9. Emilia Bedyk & Jacek Liwiński, 2016. "The wage premium from parents’ investments in the education of their children in Poland," Working Papers 2016-14, Faculty of Economic Sciences, University of Warsaw.

    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. Angel de la Fuente & Antonio Ciccone, 2003. "Human capital in a global and knowledge-based economy," UFAE and IAE Working Papers 562.03, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    2. Manuel Salas Velasco, 2004. "Rendimientos privados de las inversiones en educación superior a partir de ecuaciones de ingresos," Hacienda Pública Española / Review of Public Economics, IEF, vol. 169(2), pages 87-117, June.
    3. Justin L. Tobias, 2003. "Are Returns to Schooling Concentrated Among the Most Able? A Semiparametric Analysis of the Ability–earnings Relationships," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(1), pages 1-29, February.
    4. Michał Myck, 2010. "Wages and Ageing: Is There Evidence for the ‘Inverse‐U’ Profile?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(3), pages 282-306, June.
    5. Kyung‐Rae Hyun & Sungwook Kang & Sunmi Lee, 2016. "Population Aging and Healthcare Expenditure in Korea," Health Economics, John Wiley & Sons, Ltd., vol. 25(10), pages 1239-1251, October.
    6. Deng, Binbin, 2010. "Schooling and Wage Revisited: Does Higher IQ Really Give You Higher Income?," MPRA Paper 23206, University Library of Munich, Germany.
    7. Emmanuel O. Ogundimu & Jane L. Hutton, 2016. "A Sample Selection Model with Skew-normal Distribution," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(1), pages 172-190, March.
    8. Inmaculada Garc�a Mainar & V�ctor M. Montuenga G�mez, 2004. "Returns to education and to experience within the EU: are there differences between wage earners and the self-employed?," Documentos de Trabajo dt2004-08, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    9. Pietro Giorgio Lovaglio, 2010. "The Estimation Of Human Capital By Administrative Archives In A Static And Longitudinal Perspective: The Case Of Milan," Journal of Economic Surveys, Wiley Blackwell, vol. 24(2), pages 280-308, April.
    10. Takashi Yamagata & Chris Orme, 2005. "On Testing Sample Selection Bias Under the Multicollinearity Problem," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 467-481.
    11. Kässi, Otto, 2012. "Uncertainty and Heterogeneity in Returns to Education: Evidence from Finland," MPRA Paper 43503, University Library of Munich, Germany.
    12. Mwangi S. Kimenyi & Germano Mwabu & Damiano Kulundu Manda, 2006. "Human Capital Externalities and Private Returns to Education in Kenya," Eastern Economic Journal, Eastern Economic Association, vol. 32(3), pages 493-513, Summer.
    13. Marjan Petreski & Nikica Blazevski & Blagica Petreski, 2014. "Gender Wage Gap when Women are Highly Inactive: Evidence from Repeated Imputations with Macedonian Data," Journal of Labor Research, Springer, vol. 35(4), pages 393-411, December.
    14. Blundell, Richard & Macurdy, Thomas, 1999. "Labor supply: A review of alternative approaches," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 27, pages 1559-1695, Elsevier.
    15. Peter Galasi, 2003. "Estimating wage equations for Hungarian higher-education graduates," Budapest Working Papers on the Labour Market 0304, Institute of Economics, Centre for Economic and Regional Studies.
    16. John K. Dagsvik & Zhiyang Jia & Tom Kornstad & Thor O. Thoresen, 2014. "Theoretical And Practical Arguments For Modeling Labor Supply As A Choice Among Latent Jobs," Journal of Economic Surveys, Wiley Blackwell, vol. 28(1), pages 134-151, February.
    17. Elisabeth Nindl, 2014. "An empirical assessment of Fairtrade: A perspective for low- and middle-income countries?," Department of Economics Working Papers wuwp160, Vienna University of Economics and Business, Department of Economics.
    18. Laporšek, Suzana & Orazem, Peter F. & Vodopivec, Milan & Vodopivec, Matija, 2021. "Winners and losers after 25 years of transition: Decreasing wage inequality in Slovenia," Economic Systems, Elsevier, vol. 45(2).
    19. Jean-Louis ARCAND & Béatrice D'HOMBRES & Paul GYSELINCK, 2004. "Instrument Choice and the Returns to Education: New Evidence from Vietnam," Working Papers 200422, CERDI.
    20. Colm Harmon & Hessel Oosterbeek, 2000. "The Returns to Education: A Review of Evidence, Issues and Deficiencies in the Literature," CEE Discussion Papers 0005, Centre for the Economics of Education, LSE.

    More about this item

    Keywords

    returns to education; wage equation; selection models; instrumental variables;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

    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:iza:izadps:dp4332. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.