IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/22470.html
   My bibliography  Save this paper

Cognitive Performance and Labor Market Outcomes

Author

Listed:
  • Dajun Lin
  • Randall Lutter
  • Christopher J. Ruhm

Abstract

We use information from the National Longitudinal Survey of Youth 1979 (NLSY79) and supplementary data sources to examine how cognitive performance, measured at approximately the end of secondary schooling, is related to the labor market outcomes of 20 through 50 year olds. Our estimates control for a wide array of individual and family background characteristics, a limited set of non-cognitive attributes, survey year dummy variables and, sometimes, geographic place effects. The analysis reveals five main findings. First, cognitive performance is positively associated with future labor market outcomes at all ages. The relationship is attenuated but not eliminated by the addition of controls for non-cognitive characteristics, while the inclusion of place effects does not change the estimated associations. Second, the returns to cognitive skill increase with age. Third, the effect on total incomes reflects a combination of positive impacts of cognitive performance for both hourly wages and annual work hours. Fourth, the returns to cognitive skill are greater for women than men and for blacks and Hispanics than for non-Hispanic whites, with differential effects on work hours being more important than corresponding changes in hourly wages. Fifth, the average gains in lifetime incomes predicted to result from greater levels of cognitive performance are only slightly above those reported in prior studies but the effects are heterogeneous, with larger relative and absolute increases, in most models, for nonwhites or Hispanics than for non-Hispanic whites, and higher relative but not absolute returns for women than men.

Suggested Citation

  • Dajun Lin & Randall Lutter & Christopher J. Ruhm, 2016. "Cognitive Performance and Labor Market Outcomes," NBER Working Papers 22470, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:22470
    Note: LS PE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w22470.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Griliches, Zvi & Mason, William M, 1972. "Education, Income, and Ability," Journal of Political Economy, University of Chicago Press, vol. 80(3), pages 74-103, Part II, .
    2. Joseph G. Altonji & Charles R. Pierret, 2001. "Employer Learning and Statistical Discrimination," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 313-350.
    3. 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.
    4. Mark R. Rosenzweig & Junsen Zhang, 2009. "Do Population Control Policies Induce More Human Capital Investment? Twins, Birth Weight and China's "One-Child" Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(3), pages 1149-1174.
    5. James Heckman & Flavio Cunha, 2007. "The Technology of Skill Formation," American Economic Review, American Economic Association, vol. 97(2), pages 31-47, May.
    6. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1593-1660.
    7. Janet Currie, 2011. "Inequality at Birth: Some Causes and Consequences," American Economic Review, American Economic Association, vol. 101(3), pages 1-22, May.
    8. James Heckman, 2011. "Policies to foster human capital," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 73-137.
    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. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    11. Flavio Cunha & James J. Heckman & Susanne M. Schennach, 2010. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," Econometrica, Econometric Society, vol. 78(3), pages 883-931, May.
    12. Maria Cubel & Ana Nuevo‐Chiquero & Santiago Sanchez‐Pages & Marian Vidal‐Fernandez, 2016. "Do Personality Traits Affect Productivity? Evidence from the Laboratory," Economic Journal, Royal Economic Society, vol. 0(592), pages 654-681, May.
    13. 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.
    14. B. F. Kiker & C. M. Condon, 1981. "The Influence of Socioeconomic Background on the Earnings of Young Men," Journal of Human Resources, University of Wisconsin Press, vol. 16(1), pages 94-105.
    15. Aidan R. Vining & David L. Weimer, 2013. "An assessment of important issues concerning the application of benefit–cost analysis to social policy," Chapters,in: Principles and Standards for Benefit–Cost Analysis, chapter 1, pages 25-62 Edward Elgar Publishing.
    16. Murnane, Richard J. & Willett, John B. & Braatz, M. Jay & Duhaldeborde, Yves, 2001. "Do different dimensions of male high school students' skills predict labor market success a decade later? Evidence from the NLSY," Economics of Education Review, Elsevier, vol. 20(4), pages 311-320, August.
    17. Hafstead, Marc & Lutter, Randall, 2016. "What Is the Economic Value of Improved Labor Market Outcomes from Infant Nutrition?: The Case of Breastfeeding in the United States," RFF Working Paper Series dp-16-29, Resources for the Future.
    18. Brian Junker & Lynne Schofield & Lowell Taylor, 2012. "The use of cognitive ability measures as explanatory variables in regression analysis," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 1(1), pages 1-19, December.
    19. Jo Blanden & Paul Gregg & Lindsey Macmillan, 2007. "Accounting for Intergenerational Income Persistence: Noncognitive Skills, Ability and Education," Economic Journal, Royal Economic Society, vol. 117(519), pages 43-60, March.
    20. Jeffrey S. Zax & Daniel I. Rees, 2002. "IQ, Academic Performance, Environment, and Earnings," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 600-616, November.
    21. Aidan R. Vining & David L. Weimer, 2013. "An assessment of important issues concerning the application of benefit–cost analysis to social policy," Chapters, in: Scott O. Farrow & Richard Zerbe, Jr. (ed.), Principles and Standards for Benefit–Cost Analysis, chapter 1, pages 25-62, Edward Elgar Publishing.
    22. Manudeep Bhuller & Magne Mogstad & Kjell G. Salvanes, 2017. "Life-Cycle Earnings, Education Premiums, and Internal Rates of Return," Journal of Labor Economics, University of Chicago Press, vol. 35(4), pages 993-1030.
    23. Duncan, Greg J & Hill, Daniel H, 1985. "An Investigation of the Extent and Consequences of Measurement Error in Labor-Economic Survey Data," Journal of Labor Economics, University of Chicago Press, vol. 3(4), pages 508-532, October.
    24. Rheinberger, Christoph M. & Hammitt, James K., 2014. "The welfare value of FDA's mercury-in-fish advisory: A dynamic reanalysis," Journal of Health Economics, Elsevier, vol. 37(C), pages 113-122.
    25. Flavio Cunha & Fatih Karahan & Ilton Soares, 2011. "Returns to Skills and the College Premium," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43, pages 39-86, August.
    26. James J. Heckman, 2007. "The Economics, Technology and Neuroscience of Human Capability Formation," NBER Working Papers 13195, National Bureau of Economic Research, Inc.
    27. 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.
    28. Bound, John & Griliches, Zvi & Hall, Bronwyn H, 1986. "Wages, Schooling and IQ of Brothers and Sisters: Do the Family Factors Differ?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 27(1), pages 77-105, February.
    29. Abhay Aneja & John J. Donohue & Alexandria Zhang, 2011. "The Impact of Right-to-Carry Laws and the NRC Report: Lessons for the Empirical Evaluation of Law and Policy," American Law and Economics Review, American Law and Economics Association, vol. 13(2), pages 565-631.
    30. Bronwyn Hall & Jacques Mairesse & Laure Turner, 2007. "Identifying Age, Cohort, And Period Effects In Scientific Research Productivity: Discussion And Illustration Using Simulated And Actual Data On French Physicists," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 16(2), pages 159-177.
    31. Kevin Lang & Michael Manove, 2011. "Education and Labor Market Discrimination," American Economic Review, American Economic Association, vol. 101(4), pages 1467-1496, June.
    32. 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.
    33. 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.
    34. Achyuta Adhvaryu & Anant Nyshadham, 2016. "Endowments at Birth and Parents' Investments in Children," Economic Journal, Royal Economic Society, vol. 126(593), pages 781-820, June.
    35. Shimshack, Jay P. & Ward, Michael B., 2010. "Mercury advisories and household health trade-offs," Journal of Health Economics, Elsevier, vol. 29(5), pages 674-685, September.
    36. Heckman, James J. & Moon, Seong Hyeok & Pinto, Rodrigo & Savelyev, Peter A. & Yavitz, Adam, 2010. "A New Cost-Benefit and Rate of Return Analysis for the Perry Preschool Program: A Summary," IZA Policy Papers 17, Institute of Labor Economics (IZA).
    37. Fabian Lange, 2007. "The Speed of Employer Learning," Journal of Labor Economics, University of Chicago Press, vol. 25(1), pages 1-35.
    38. Shulamit Kahn & Kevin Lang, 1992. "Constraints on the Choice of Work Hours: Agency Versus Specific-Capital," Journal of Human Resources, University of Wisconsin Press, vol. 27(4), pages 661-678.
    39. Raj Chetty & Nathaniel Hendren & Lawrence F. Katz, 2016. "The Effects of Exposure to Better Neighborhoods on Children: New Evidence from the Moving to Opportunity Experiment," American Economic Review, American Economic Association, vol. 106(4), pages 855-902, April.
    40. Ruhm, Christopher J, 1997. "Is High School Employment Consumption or Investment?," Journal of Labor Economics, University of Chicago Press, vol. 15(4), pages 735-776, October.
    41. Claudia Persico & David Figlio & Jeffrey Roth, 2016. "Inequality Before Birth: The Developmental Consequences of Environmental Toxicants," NBER Working Papers 22263, National Bureau of Economic Research, Inc.
    42. Heckman, James J, 1995. "Lessons from the Bell Curve," Journal of Political Economy, University of Chicago Press, vol. 103(5), pages 1091-1120, October.
    43. Yona Rubinstein & James J. Heckman, 2001. "The Importance of Noncognitive Skills: Lessons from the GED Testing Program," American Economic Review, American Economic Association, vol. 91(2), pages 145-149, May.
    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. Liu, Liyi & McManus, Douglas, 2024. "Impact of skills in early adulthood on lifetime homeownership disparities," Journal of Housing Economics, Elsevier, vol. 65(C).
    2. Lisa Simon, 2019. "Microeconometric Analyses on Determinants of Individual Labour Market Outcomes," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 83, May.
    3. James J. Heckman, 2008. "Schools, Skills, And Synapses," Economic Inquiry, Western Economic Association International, vol. 46(3), pages 289-324, July.
    4. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1593-1660.
    5. Buchmueller, Gerda & Walker, Ian, 2020. "The Graduate Wage and Earnings Premia and the Role of Non-Cognitive Skills," IZA Discussion Papers 13248, Institute of Labor Economics (IZA).
    6. Nicholas W Papageorge & Kevin Thom, 2020. "Genes, Education, and Labor Market Outcomes: Evidence from the Health and Retirement Study," Journal of the European Economic Association, European Economic Association, vol. 18(3), pages 1351-1399.
    7. 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.
    8. Melinda Petre, 2018. "Are Employers Omniscient? Employer Learning About Cognitive and Noncognitive Skills," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 57(3), pages 323-360, July.
    9. Piopiunik, Marc & Schwerdt, Guido & Simon, Lisa & Woessmann, Ludger, 2020. "Skills, signals, and employability: An experimental investigation," European Economic Review, Elsevier, vol. 123(C).
    10. Gensowski, Miriam, 2018. "Personality, IQ, and lifetime earnings," Labour Economics, Elsevier, vol. 51(C), pages 170-183.
    11. 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.
    12. Nikolov, Plamen & Jimi, Nusrat & Chang, Jerray, 2020. "The Importance of Cognitive Domains and the Returns to Schooling in South Africa: Evidence from Two Labor Surveys," Labour Economics, Elsevier, vol. 65(C).
    13. Torberg Falch & Ole Henning Nyhus & Bjarne Strøm, 2014. "Performance of Young Adults: The Importance of Different Skills," CESifo Economic Studies, CESifo Group, vol. 60(2), pages 435-462.
    14. 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.
    15. Pablo Lavado & Nelson Oviedo & Hernán Ruffo, 2016. "Destruction of Cognitive and Noncognitive Skills in Adulthood," Working Papers 16-07, Centro de Investigación, Universidad del Pacífico.
    16. Flèche, Sarah & Lekfuangfu, Warn N. & Clark, Andrew E., 2021. "The long-lasting effects of family and childhood on adult wellbeing: Evidence from British cohort data," Journal of Economic Behavior & Organization, Elsevier, vol. 181(C), pages 290-311.
    17. Achyuta Adhvaryu & James Fenske & Anant Nyshadham, 2019. "Early Life Circumstance and Adult Mental Health," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1516-1549.
    18. 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).
    19. Chih Ming Tan & Xiao Wang & Xiaobo Zhang, 2024. "It's all in the stars: The Chinese zodiac and the effects of parental investments on offspring's cognitive and noncognitive skill development," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 32(3), pages 877-920, July.
    20. Dohmen, Thomas, 2014. "Behavioral labor economics: Advances and future directions," Labour Economics, Elsevier, vol. 30(C), pages 71-85.

    More about this item

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J38 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Public Policy

    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:nbr:nberwo:22470. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.