IDEAS home Printed from https://ideas.repec.org/p/ucd/wpaper/200723.html
   My bibliography  Save this paper

The Returns to Observable and Unobservable Skills over time: Evidence from a Panel of the Population of Danish Twins

Author

Listed:
  • Paul Bingley

    (Department of Economics, Aarhus School of Business, 8000 Aarhus, Denmark)

  • Kaare Christensen

    (Author-Name: Department of Epidemiology, University of Southern Denmark, 5000 Odense, Denmark)

  • Ian Walker

    (Department of Economics, University of Warwick, Coventry)

Abstract

This paper provides estimates of the private financial return to education based on large samples of monozygotic (MZ) and dizygotic (DZ) twins which we obtain from Danish population registers. Our estimation exploits the fact that our data is a long panel. We show that the rising inequality, which we observe in the raw data, is due to rising returns to observable skills. Indeed, our results suggest that the inequality associated with unobservable skills appears to have fallen since the late 1980’s. The fact that we have both MZs and DZs allows us to separate the rising residual variance into changes in returns to unobservables and changes in the variance in unobservables across successive cohorts. Measurement error has been a concern in the twins literature since the usual methodology is based on within-twin differences. We exploit two instruments that provide additional measures of the within twin schooling difference, differences in when the twins first join the labour force on a full-time basis, which comes from a register that is independent of the education registers; and the strong assortative mating in the data which allows us to use twins spouse’s education as an instrument. We also address a further concern in the literature, that differencing between twins fails to remove individual fixed effects as opposed to family fixed effects resulting in schooling differences being correlated with the residual. This would induce the within twin schooling difference coefficient to be biased. Here we exploit the Danish equivalent of Maimonides’ rule which generates potential variation in education within twin pairs associated with being placed in different classes if they attended a small school in a larger than average cohort. This different experience across twin pairs is shown to generate differences in within twin schooling. Our baseline estimates suggests that correcting for selfselection in schooling, and measurement error, gives returns that are about two fifths higher than OLS for men and about one fifth higher for women.

Suggested Citation

  • Paul Bingley & Kaare Christensen & Ian Walker, 2007. "The Returns to Observable and Unobservable Skills over time: Evidence from a Panel of the Population of Danish Twins," Working Papers 200723, Geary Institute, University College Dublin.
  • Handle: RePEc:ucd:wpaper:200723
    as

    Download full text from publisher

    File URL: http://www.ucd.ie/geary/static/publications/workingpapers/GearyWp200723.pdf
    File Function: Version 2.04, 2007
    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. Neumark, David, 1999. "Biases in twin estimates of the return to schooling," Economics of Education Review, Elsevier, vol. 18(2), pages 143-148, April.
    3. David Card & Thomas Lemieux, 2001. "Can Falling Supply Explain the Rising Return to College for Younger Men? A Cohort-Based Analysis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 705-746.
    4. Thomas Lemieux, 2006. "Postsecondary Education and Increasing Wage Inequality," American Economic Review, American Economic Association, vol. 96(2), pages 195-199, May.
    5. Omar Arias & Walter Sosa-Escudero & Kevin F. Hallock, 2001. "Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data," Empirical Economics, Springer, vol. 26(1), pages 7-40.
    6. Griliches, Zvi, 1979. "Sibling Models and Data in Economics: Beginnings of a Survey," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 37-64, October.
    7. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    8. Dorothe Bonjour & Lynn F. Cherkas & Jonathan E. Haskel & Denise D. Hawkes & Tim D. Spector, 2003. "Returns to Education: Evidence from U.K. Twins," American Economic Review, American Economic Association, vol. 93(5), pages 1799-1812, December.
    9. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    10. Light Audrey & Flores-Lagunes Alfonso, 2006. "Measurement Error in Schooling: Evidence from Samples of Siblings and Identical Twins," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(1), pages 1-35, May.
    11. Bound, John & Solon, Gary, 1999. "Double trouble: on the value of twins-based estimation of the return to schooling," Economics of Education Review, Elsevier, vol. 18(2), pages 169-182, April.
    12. Gunnar Isacsson, 2004. "Estimating the economic return to educational levels using data on twins," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(1), pages 99-119.
    13. Murnane, Richard J & Willett, John B & Levy, Frank, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 251-266, May.
    14. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    15. Orley Ashenfelter & Cecilia Rouse, 1998. "Income, Schooling, and Ability: Evidence from a New Sample of Identical Twins," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(1), pages 253-284.
    16. Pedro Carneiro & Sokbae (Simon) Lee, 2005. "Ability, sorting and wage inequality," CeMMAP working papers CWP16/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-442, June.
    18. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    19. Jere R. Behrman & Mark R. Rosenzweig, 2004. "Returns to Birthweight," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 586-601, May.
    20. 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.
    21. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-1160, September.
    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. 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. Sandewall, Örjan & Cesarini, David & Johannesson, Magnus, 2014. "The co-twin methodology and returns to schooling — testing a critical assumption," Labour Economics, Elsevier, vol. 26(C), pages 1-10.
    3. Helena Holmlund & Mikael Lindahl & Erik Plug, 2011. "The Causal Effect of Parents' Schooling on Children's Schooling: A Comparison of Estimation Methods," Journal of Economic Literature, American Economic Association, vol. 49(3), pages 615-651, September.
    4. Balestra, Simone & Backes-Gellner, Uschi, 2017. "Heterogeneous returns to education over the wage distribution: Who profits the most?," Labour Economics, Elsevier, vol. 44(C), pages 89-105.
    5. Petter Lundborg & Anton Nilsson & Dan-Olof Rooth, 2016. "The health-schooling relationship: evidence from Swedish twins," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(4), pages 1191-1215, October.
    6. Petter Lundborg, 0000. "The Health Returns to Education - What can we learn from Twins?," Tinbergen Institute Discussion Papers 08-027/3, Tinbergen Institute.
    7. Holmlund, Helena & Lindahl, Mikael & Plug, Erik, 2010. "The Causal Eff ect of Parent’s Schooling on Children’s Schooling," Working Paper Series, Center for Labor Studies 2010:8, Uppsala University, Department of Economics.
    8. Matt Dickson, 2013. "The Causal Effect of Education on Wages Revisited," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(4), pages 477-498, August.
    9. Leigh, Andrew & Ryan, Chris, 2008. "Estimating returns to education using different natural experiment techniques," Economics of Education Review, Elsevier, vol. 27(2), pages 149-160, April.
    10. Jean-Louis ARCAND & Béatrice D'HOMBRES & Paul GYSELINCK, 2004. "Instrument Choice and the Returns to Education: New Evidence from Vietnam," Working Papers 200422, CERDI.
    11. Bhalotra, Sonia & Clarke, Damian, 2022. "Analysis of Twins," The Warwick Economics Research Paper Series (TWERPS) 1428, University of Warwick, Department of Economics.
    12. Lång, Elisabeth & Nystedt, Paul, 2016. "Learning For Life? The Effects of Schooling on Earnings and Health- Related Behavior Over the Life Cycle," LiU Working Papers in Economics 4, Linköping University, Division of Economics, Department of Management and Engineering.
    13. Lundborg, Petter & Nilsson, Anton & Rooth, Dan-Olof, 2011. "Does Early Life Health Predict Schooling Within Twin Pairs?," IZA Discussion Papers 5803, Institute of Labor Economics (IZA).
    14. NAKAMURO Makiko & INUI Tomohiko, 2012. "Estimating the Returns to Education Using a Sample of Twins - The case of Japan -," Discussion papers 12076, Research Institute of Economy, Trade and Industry (RIETI).
    15. Raaum,O. & Aabo,T.E., 1999. "The effect of schooling on earnings : the role of family background studied by a large sample of Norwegian twins," Memorandum 16/1999, Oslo University, Department of Economics.
    16. Pedro Carneiro & Sokbae Lee, 2011. "Trends in Quality-Adjusted Skill Premia in the United States, 1960-2000," American Economic Review, American Economic Association, vol. 101(6), pages 2309-2349, October.
    17. Bhuller, Manudeep & Mogstad, Magne & Salvanes, Kjell G., 2011. "Life-Cycle Bias and the Returns to Schooling in Current and Lifetime Earnings," IZA Discussion Papers 5788, Institute of Labor Economics (IZA).
    18. Gerdtham, Ulf-G & Lundborg, Petter & Lyttkens, Carl Hampus & Nystedt, Paul, 2012. "Do Socioeconomic Factors Really Explain Income-Related Inequalities in Health? Applying a Twin Design to Standard Decomposition Analysis," Working Papers 2012:21, Lund University, Department of Economics.
    19. John Giles & Albert Park & Meiyan Wang, 2019. "The Great Proletarian Cultural Revolution, Disruptions to Education, and the Returns to Schooling in Urban China," Economic Development and Cultural Change, University of Chicago Press, vol. 68(1), pages 131-164.
    20. Paolo Naticchioni & Andrea Ricci & Emiliano Rustichelli, 2007. "Wage Structure, Inequality And Skill-Biased Change: Is Italy An Outlier?," Quaderni del Dipartimento di Economia, Finanza e Statistica 38/2007, Università di Perugia, Dipartimento Economia.

    More about this item

    Keywords

    wage inequality; schooling; twins; education returns; ability bias;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:ucd:wpaper:200723. 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: Geary Tech (email available below). General contact details of provider: https://edirc.repec.org/data/geucdie.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.