IDEAS home Printed from https://ideas.repec.org/a/eee/labeco/v24y2013icp293-304.html
   My bibliography  Save this article

The effect of noncognitive ability on the earnings of young men: A distributional analysis with measurement error correction

Author

Listed:
  • Eren, Ozkan
  • Ozbeklik, Serkan

Abstract

Utilizing the National Educational Longitudinal Study data, this paper examines the role of pre-market cognitive and noncognitive ability, as measured in tenth grade, on the earnings of young men. In addition to the conditional mean, we estimate the impact over the earnings distribution using recently developed (instrumental) quantile regression method. Our results show that noncognitive ability is an important determinant of earnings, but the effects are not uniform across the distribution. We find noncognitive ability to be the most important at lower quantiles. The impact of cognitive ability, on the other hand, shows a more homogenous pattern. Several robustness checks support these results.

Suggested Citation

  • Eren, Ozkan & Ozbeklik, Serkan, 2013. "The effect of noncognitive ability on the earnings of young men: A distributional analysis with measurement error correction," Labour Economics, Elsevier, vol. 24(C), pages 293-304.
  • Handle: RePEc:eee:labeco:v:24:y:2013:i:c:p:293-304
    DOI: 10.1016/j.labeco.2013.08.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927537113000961
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.labeco.2013.08.007?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. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    2. Hansen, Karsten T. & Heckman, James J. & Mullen, K.J.Kathleen J., 2004. "The effect of schooling and ability on achievement test scores," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 39-98.
    3. Lawrence F. Katz & Kevin M. Murphy, 1992. "Changes in Relative Wages, 1963–1987: Supply and Demand Factors," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(1), pages 35-78.
    4. Andrew Chesher, 2001. "Parameter approximations for quantile regressions with measurement error," CeMMAP working papers CWP02/01, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Erik Grönqvist & Björn Öckert & Jonas Vlachos, 2017. "The Intergenerational Transmission of Cognitive and Noncognitive Abilities," Journal of Human Resources, University of Wisconsin Press, vol. 52(4), pages 887-918.
    6. Markus Frölich & Blaise Melly, 2013. "Unconditional Quantile Treatment Effects Under Endogeneity," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 346-357, July.
    7. Claudia Olivetti & Barbara Petrongolo, 2008. "Unequal Pay or Unequal Employment? A Cross-Country Analysis of Gender Gaps," Journal of Labor Economics, University of Chicago Press, vol. 26(4), pages 621-654, October.
    8. Gabriel Montes-Rojas, 2011. "Quantile Regression with Classical Additive Measurement Errors," Economics Bulletin, AccessEcon, vol. 31(4), pages 2863-2868.
    9. Lex Borghans & Angela Lee Duckworth & James J. Heckman & Bas ter Weel, 2008. "The Economics and Psychology of Personality Traits," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    10. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    11. Margo Coleman & Thomas DeLeire, 2003. "An Economic Model of Locus of Control and the Human Capital Investment Decision," Journal of Human Resources, University of Wisconsin Press, vol. 38(3).
    12. Racine, Jeff & Li, Qi, 2004. "Nonparametric estimation of regression functions with both categorical and continuous data," Journal of Econometrics, Elsevier, vol. 119(1), pages 99-130, March.
    13. Carneiro, Pedro & Heckman, James J., 2003. "Human Capital Policy," IZA Discussion Papers 821, Institute of Labor Economics (IZA).
    14. Carmit Segal, 2013. "Misbehavior, Education, And Labor Market Outcomes," Journal of the European Economic Association, European Economic Association, vol. 11(4), pages 743-779, August.
    15. James J. Heckman & Jora Stixrud & Sergio Urzua, 2006. "The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 411-482, July.
    16. Wei, Ying & Carroll, Raymond J., 2009. "Quantile Regression With Measurement Error," Journal of the American Statistical Association, American Statistical Association, vol. 104(487), pages 1129-1143.
    17. Hausman, J. A. & Newey, W. K. & Powell, J. L., 1995. "Nonlinear errors in variables Estimation of some Engel curves," Journal of Econometrics, Elsevier, vol. 65(1), pages 205-233, January.
    18. Nicola Persico & Andrew Postlewaite & Dan Silverman, 2004. "The Effect of Adolescent Experience on Labor Market Outcomes: The Case of Height," Journal of Political Economy, University of Chicago Press, vol. 112(5), pages 1019-1053, October.
    19. Cunha, Flavio & Heckman, James J. & Lochner, Lance, 2006. "Interpreting the Evidence on Life Cycle Skill Formation," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 12, pages 697-812, Elsevier.
    20. Buchinsky, Moshe, 1994. "Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression," Econometrica, Econometric Society, vol. 62(2), pages 405-458, March.
    21. Powell, James L., 1986. "Censored regression quantiles," Journal of Econometrics, Elsevier, vol. 32(1), pages 143-155, June.
    22. Melissa Osborne & Herbert Gintis & Samuel Bowles, 2001. "The Determinants of Earnings: A Behavioral Approach," Journal of Economic Literature, American Economic Association, vol. 39(4), pages 1137-1176, December.
    23. 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.
    24. Zheng, John Xu, 1998. "A Consistent Nonparametric Test Of Parametric Regression Models Under Conditional Quantile Restrictions," Econometric Theory, Cambridge University Press, vol. 14(1), pages 123-138, February.
    25. Chernozhukov, Victor & Hansen, Christian, 2008. "Instrumental variable quantile regression: A robust inference approach," Journal of Econometrics, Elsevier, vol. 142(1), pages 379-398, January.
    26. Chernozhukov, Victor & Hansen, Christian, 2006. "Instrumental quantile regression inference for structural and treatment effect models," Journal of Econometrics, Elsevier, vol. 132(2), pages 491-525, June.
    27. Francis Green & Stephen Machin & David Wilkinson, 1998. "The Meaning and Determinants of Skills Shortages," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 60(2), pages 165-187, May.
    28. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843, Elsevier.
    29. Erik Lindqvist & Roine Vestman, 2011. "The Labor Market Returns to Cognitive and Noncognitive Ability: Evidence from the Swedish Enlistment," American Economic Journal: Applied Economics, American Economic Association, vol. 3(1), pages 101-128, January.
    30. Nicole M. Fortin, 2008. "The Gender Wage Gap among Young Adults in the United States: The Importance of Money versus People," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    31. Neal, Derek A & Johnson, William R, 1996. "The Role of Premarket Factors in Black-White Wage Differences," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 869-895, October.
    32. Hayfield, Tristen & Racine, Jeffrey S., 2008. "Nonparametric Econometrics: The np Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i05).
    33. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    34. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2008. "Trends in U.S. Wage Inequality: Revising the Revisionists," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 300-323, May.
    35. Goldsmith, Arthur H & Veum, Jonathan R & Darity, William, Jr, 1997. "The Impact of Psychological and Human Capital on Wages," Economic Inquiry, Western Economic Association International, vol. 35(4), pages 815-829, October.
    36. Schennach, Susanne M., 2008. "Quantile Regression With Mismeasured Covariates," Econometric Theory, Cambridge University Press, vol. 24(4), pages 1010-1043, August.
    37. Yuichi Kitamura & William Johnson & Derek Neal, 2000. "Evaluating a Simple Method for Estimating Black-White Gaps in Median Wages," American Economic Review, American Economic Association, vol. 90(2), pages 339-343, May.
    38. Gerrit Mueller & Erik Plug, 2006. "Estimating the Effect of Personality on Male and Female Earnings," ILR Review, Cornell University, ILR School, vol. 60(1), pages 3-22, October.
    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. Bühler, Dorothee & Sharma, Rasadhika & Stein, Wiebke, 2020. "Occupational Attainment and Earnings in Southeast Asia: The Role of Non-cognitive Skills," Labour Economics, Elsevier, vol. 67(C).
    2. Deng, Lanfang & Tong, Tingting, 2020. "Parenting style and the development of noncognitive ability in children," China Economic Review, Elsevier, vol. 62(C).
    3. Glewwe, Paul & Huang, Qiuqiong & Park, Albert, 2017. "Cognitive skills, noncognitive skills, and school-to-work transitions in rural China," Journal of Economic Behavior & Organization, Elsevier, vol. 134(C), pages 141-164.
    4. Christiane Hinerasky, 2014. "Advances in Training Evaluation - Psychological, Educational, Economic, and Econometric Perspectives on the Kirkpatrick Model," Working Papers Dissertations 14, Paderborn University, Faculty of Business Administration and Economics.
    5. Mark E. McGovern & Aditi Krishna & Victor M. Aguayo & S.V. Subramanian, 2017. "A Review of the Evidence Linking Child Stunting to Economic Outcomes," CHaRMS Working Papers 17-03, Centre for HeAlth Research at the Management School (CHaRMS).

    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. Ozkan Eren & Ozan Sula, 2012. "The Effect of Ability on Young Men's Self-Employment Decision: Evidence from the NELS," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 51(4), pages 916-935, October.
    2. Elke Lüdemann, 2011. "Schooling and the Formation of Cognitive and Non-cognitive Outcomes," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 39.
    3. Dohmen, Thomas, 2014. "Behavioral labor economics: Advances and future directions," Labour Economics, Elsevier, vol. 30(C), pages 71-85.
    4. Thiel, Hendrik & Thomsen, Stephan L., 2013. "Noncognitive skills in economics: Models, measurement, and empirical evidence," Research in Economics, Elsevier, vol. 67(2), pages 189-214.
    5. Chen, Weiwei & Grove, Wayne A. & Hussey, Andrew, 2017. "The role of confidence and noncognitive skills for post-baccalaureate academic and labor market outcomes," Journal of Economic Behavior & Organization, Elsevier, vol. 138(C), pages 10-29.
    6. Sonja C. Kassenboehmer & Mathias G. Sinning, 2014. "Distributional Changes in the Gender Wage Gap," ILR Review, Cornell University, ILR School, vol. 67(2), pages 335-361, April.
    7. Kautz, Tim & Heckman, James J. & Diris, Ron & ter Weel, Bas & Borghans, Lex, 2014. "Fostering and Measuring Skills: Improving Cognitive and Non-Cognitive Skills to Promote Lifetime Success," IZA Discussion Papers 8696, Institute of Labor Economics (IZA).
    8. Flavio Cunha & James J. Heckman, 2009. "The Economics and Psychology of Inequality and Human DEvelopment," Journal of the European Economic Association, MIT Press, vol. 7(2-3), pages 320-364, 04-05.
    9. James J. Heckman, 2008. "Schools, Skills, And Synapses," Economic Inquiry, Western Economic Association International, vol. 46(3), pages 289-324, July.
    10. Nils Braakmann, 2009. "The Role of Psychological Traits for the Gender Gap in Full-Time Employment and Wages: Evidence from Germany," SOEPpapers on Multidisciplinary Panel Data Research 162, DIW Berlin, The German Socio-Economic Panel (SOEP).
    11. Ozkan Eren & I. Serkan Ozbeklik, 2010. "Leadership Skills and Wages Revisited: Is There a Causal Relation?," Working Papers 1002, University of Nevada, Las Vegas , Department of Economics.
    12. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    13. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    14. Heckman, James J. & Kautz, Tim, 2012. "Hard evidence on soft skills," Labour Economics, Elsevier, vol. 19(4), pages 451-464.
    15. 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.
    16. Attanasio, Orazio & Blundell, Richard & Conti, Gabriella & Mason, Giacomo, 2020. "Inequality in socio-emotional skills: A cross-cohort comparison," Journal of Public Economics, Elsevier, vol. 191(C).
    17. Schmidt, Christoph M. & Tauchmann, Harald, 2011. "Heterogeneity in the intergenerational transmission of alcohol consumption: A quantile regression approach," Journal of Health Economics, Elsevier, vol. 30(1), pages 33-42, January.
    18. Daniel Pollmann & Thomas Dohmen & Franz Palm, 2020. "Robust Estimation of Wage Dispersion with Censored Data: An Application to Occupational Earnings Risk and Risk Attitudes," De Economist, Springer, vol. 168(4), pages 519-540, December.
    19. Cubel, Maria & Nuevo-Chiquero, Ana & Sanchez-Pages, Santiago & Vidal-Fernandez, Marian, 2014. "Do Personality Traits Affect Productivity? Evidence from the Lab," IZA Discussion Papers 8308, Institute of Labor Economics (IZA).
    20. James Heckman & Tim Kautz, 2013. "Fostering and Measuring Skills: Interventions That Improve Character and Cognition," Working Papers 2013-019, Human Capital and Economic Opportunity Working Group.

    More about this item

    Keywords

    Cognitive ability; Instrumental quantile regression; Measurement error; Noncognitive ability; Sample selection bias;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

    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:eee:labeco:v:24:y:2013:i:c:p:293-304. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/labeco .

    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.