IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/48738.html
   My bibliography  Save this paper

Uncertainty and Heterogeneity in Returns to Education: Evidence from Finland

Author

Listed:
  • Kässi, Otto

Abstract

This paper studies the causal effect of education on income uncertainty using a broad measure of income which encompasses unemployment risk. To accomplish this, the variance of residuals from a Mincer-type income regression is decomposed into unobserved heterogeneity (known to the individuals when making their educational choices) and uncertainty (unknown to the individual). The estimation is done using Finnish registry data. The marginal effect of having secondary or lower tertiary level education decreases income uncertainty. University level education is found to have a small positive marginal effect on income uncertainty. The effect of education on income uncertainty is roughly similar for men when compared to women, but income uncertainty is larger for men than for women regardless of education. Contrary to some results from the U.S., the role of unobserved heterogeneity is found to be very small.

Suggested Citation

  • Kässi, Otto, 2012. "Uncertainty and Heterogeneity in Returns to Education: Evidence from Finland," MPRA Paper 48738, University Library of Munich, Germany, revised 01 Aug 2013.
  • Handle: RePEc:pra:mprapa:48738
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/48738/1/MPRA_paper_48738.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    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. Francis Kramarz & Stephen Machin & Amine Ouazad, 2008. "What Makes a Test Score ? The Respective Contributions of Pupils, Schools and Peers in Achievement in English Primary Education," Working Papers 2008-21, Center for Research in Economics and Statistics.
    3. Cunha, Flavio & Heckman, James, 2008. "A New Framework For The Analysis Of Inequality," Macroeconomic Dynamics, Cambridge University Press, vol. 12(S2), pages 315-354, September.
    4. Alberto Abadie & Joshua Angrist & Guido Imbens, 2002. "Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings," Econometrica, Econometric Society, vol. 70(1), pages 91-117, January.
    5. Jacopo Mazza & Hans van Ophem, 2018. "Separating risk from heterogeneity in education: a semiparametric approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(1), pages 249-275, January.
    6. Cunha, Flavio & Heckman, James J., 2007. "Identifying and Estimating the Distributions of Ex Post and Ex Ante Returns to Schooling," Labour Economics, Elsevier, vol. 14(6), pages 870-893, December.
    7. David Card, 1993. "Using Geographic Variation in College Proximity to Estimate the Return to Schooling," Working Papers 696, Princeton University, Department of Economics, Industrial Relations Section..
    8. Schweri, Juerg & Hartog, Joop & Wolter, Stefan C., 2011. "Do students expect compensation for wage risk?," Economics of Education Review, Elsevier, vol. 30(2), pages 215-227, April.
    9. Björklund, Anders & Jäntti, Markus, 2012. "How important is family background for labor-economic outcomes?," Labour Economics, Elsevier, vol. 19(4), pages 465-474.
    10. Adriana Lleras-Muney, 2005. "The Relationship Between Education and Adult Mortality in the United States," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 189-221.
    11. Flavio Cunha & James Heckman & Salvador Navarro, 2005. "Separating uncertainty from heterogeneity in life cycle earnings," Oxford Economic Papers, Oxford University Press, vol. 57(2), pages 191-261, April.
    12. Hamish Low & Costas Meghir & Luigi Pistaferri, 2010. "Wage Risk and Employment Risk over the Life Cycle," American Economic Review, American Economic Association, vol. 100(4), pages 1432-1467, September.
    13. Pekkarinen, Tuomas & Uusitalo, Roope & Kerr, Sari, 2009. "School tracking and intergenerational income mobility: Evidence from the Finnish comprehensive school reform," Journal of Public Economics, Elsevier, vol. 93(7-8), pages 965-973, August.
    14. Barro, Robert J. & Lee, Jong Wha, 2013. "A new data set of educational attainment in the world, 1950–2010," Journal of Development Economics, Elsevier, vol. 104(C), pages 184-198.
    15. David Card, 1993. "Using Geographic Variation in College Proximity to Estimate the Return to Schooling," Working Papers 696, Princeton University, Department of Economics, Industrial Relations Section..
    16. Jacopo Mazza & Hans van Ophem & Joop Hartog, 2011. "Unobserved Heterogeneity and Risk in Wage Variance: Does Schooling provide Earnings Insurance?," Tinbergen Institute Discussion Papers 11-045/3, Tinbergen Institute.
    17. Stacey H. Chen, 2008. "Estimating the Variance of Wages in the Presence of Selection and Unobserved Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 275-289, May.
    18. Kerwin Kofi Charles & Ming-Ching Luoh, 2003. "Gender Differences in Completed Schooling," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 559-577, August.
    19. Webbink, Dinand & Hartog, Joop, 2004. "Can students predict starting salaries? Yes!," Economics of Education Review, Elsevier, vol. 23(2), pages 103-113, April.
    20. Luis Diaz‐Serrano & Joop Hartog & Helena Skyt Nielsen, 2008. "Compensating Wage Differentials for Schooling Risk in Denmark," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(4), pages 711-731, December.
    21. Ignacio Palacios-Huerta, 2003. "An Empirical Analysis of the Risk Properties of Human Capital Returns," American Economic Review, American Economic Association, vol. 93(3), pages 948-964, June.
    22. Betts, Julian R, 1995. "Does School Quality Matter? Evidence from the National Longitudinal Survey of Youth," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 231-250, May.
    23. 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.
    24. Guiso, Luigi & Jappelli, Tullio & Pistaferri, Luigi, 2002. "An Empirical Analysis of Earnings and Employment Risk," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 241-253, April.
    25. A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
    26. Lance Lochner, 2004. "Education, Work, And Crime: A Human Capital Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(3), pages 811-843, August.
    27. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    28. Kirjavainen, Tanja, 2009. "Essays on the efficiency of schools and student achievement," Research Reports 53, VATT Institute for Economic Research.
    29. Hartog, Joop & Vijverberg, Wim P.M., 2007. "On compensation for risk aversion and skewness affection in wages," Labour Economics, Elsevier, vol. 14(6), pages 938-956, December.
    30. 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.
    31. Stephen V. Cameron & James J. Heckman, 1998. "Life Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts of American Males," Journal of Political Economy, University of Chicago Press, vol. 106(2), pages 262-333, April.
    32. Aakvik, Arild & Salvanes, Kjell G. & Vaage, Kjell, 2010. "Measuring heterogeneity in the returns to education using an education reform," European Economic Review, Elsevier, vol. 54(4), pages 483-500, May.
    33. Kirjavainen, Tanja, 2009. "Essays on the efficiency of schools and student achievement," Research Reports P53, VATT Institute for Economic Research.
    34. 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.
    35. Uusitalo, Roope, 1999. "Return to education in Finland," Labour Economics, Elsevier, vol. 6(4), pages 569-580, November.
    36. Stephen V. Cameron & James J. Heckman, 1998. "Life Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts," NBER Working Papers 6385, National Bureau of Economic Research, Inc.
    37. Griliches, Zvi, 1977. "Estimating the Returns to Schooling: Some Econometric Problems," Econometrica, Econometric Society, vol. 45(1), pages 1-22, January.
    38. Bedi, Arjun S. & Gaston, Noel, 1999. "Using variation in schooling availability to estimate educational returns for Honduras," Economics of Education Review, Elsevier, vol. 18(1), pages 107-116, February.
    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. Bajrami, Egzon, 2024. "Evaluating the agricultural policy in Kosovo: Lessons learnt and the pathway forward," EconStor Theses, ZBW - Leibniz Information Centre for Economics, number 299140, September.

    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. Kässi, Otto, 2014. "How Risky Is the Choice of a University Major?," MPRA Paper 59078, University Library of Munich, Germany.
    2. Schweri, Juerg & Hartog, Joop & Wolter, Stefan C., 2011. "Do students expect compensation for wage risk?," Economics of Education Review, Elsevier, vol. 30(2), pages 215-227, April.
    3. Belzil, Christian, 2007. "The return to schooling in structural dynamic models: a survey," European Economic Review, Elsevier, vol. 51(5), pages 1059-1105, July.
    4. 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.
    5. James J. Heckman, 2008. "The Principles Underlying Evaluation Estimators with an Application to Matching," Annals of Economics and Statistics, GENES, issue 91-92, pages 9-73.
    6. Binelli, Chiara & Menezes-Filho, Naercio, 2019. "Why Brazil fell behind in college education?," Economics of Education Review, Elsevier, vol. 72(C), pages 80-106.
    7. Brodaty, Thomas & Gary-Bobo, Robert J. & Prieto, Ana, 2014. "Do risk aversion and wages explain educational choices?," Journal of Public Economics, Elsevier, vol. 117(C), pages 125-148.
    8. Aakvik, Arild & Salvanes, Kjell G. & Vaage, Kjell, 2003. "Measuring Heterogeneity in the Returns to Education in Norway Using Educational Reforms," IZA Discussion Papers 815, Institute of Labor Economics (IZA).
    9. Christian Belzil & Marco Leonardi, 2013. "Risk Aversion and Schooling Decisions," Annals of Economics and Statistics, GENES, issue 111-112, pages 35-70.
    10. Pedro Carneiro & James J. Heckman & Edward J. Vytlacil, 2011. "Estimating Marginal Returns to Education," American Economic Review, American Economic Association, vol. 101(6), pages 2754-2781, October.
    11. Gianluca Violante & Giovanni Gallipoli & Costas Meghir, 2005. "Education Decisions, Equilibrium Policies and Wages Dispersion," 2005 Meeting Papers 522, Society for Economic Dynamics.
    12. Keane, Michael P. & Todd, Petra E. & Wolpin, Kenneth I., 2011. "The Structural Estimation of Behavioral Models: Discrete Choice Dynamic Programming Methods and Applications," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 4, pages 331-461, Elsevier.
    13. 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.
    14. Flávio Cunha & James Heckman, 2016. "Decomposing Trends in Inequality in Earnings into Forecastable and Uncertain Components," Journal of Labor Economics, University of Chicago Press, vol. 34(S2), pages 31-65.
    15. Belzil, Christian & Leonardi, Marco, 2007. "Can risk aversion explain schooling attainments? Evidence from Italy," Labour Economics, Elsevier, vol. 14(6), pages 957-970, December.
    16. Katja Kaufmann, 2008. "Understanding the Income Gradient in College Attendance in Mexico: The Role of Heterogeneity in Expected Returns to College," Discussion Papers 07-040, Stanford Institute for Economic Policy Research.
    17. Suqin Ge, 2011. "Women's College Decisions: How Much Does Marriage Matter?," Journal of Labor Economics, University of Chicago Press, vol. 29(4), pages 773-818.
    18. Jacopo Mazza, 2012. "Does Risk Matter? A Semi-parametric Model for Educational Choices in the Presence of Uncertainty," Economics Discussion Paper Series 1225, Economics, The University of Manchester.
    19. Loreto Reyes & Jorge Rodríguez & Sergio S. Urzúa, 2013. "Heterogeneous Economic Returns to Postsecondary Degrees: Evidence from Chile," NBER Working Papers 18817, National Bureau of Economic Research, Inc.
    20. Aakvik, Arild & Salvanes, Kjell G. & Vaage, Kjell, 2010. "Measuring heterogeneity in the returns to education using an education reform," European Economic Review, Elsevier, vol. 54(4), pages 483-500, May.

    More about this item

    Keywords

    earnings uncertainty; unobserved heterogeneity; permanent variance; transitory variance;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • 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:pra:mprapa:48738. 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.