IDEAS home Printed from https://ideas.repec.org/p/diw/diwwpp/dp655.html
   My bibliography  Save this paper

Cognitive Abilities and Labour Market Outcomes

Author

Listed:
  • Silke Anger
  • Guido Heineck

Abstract

We contribute to the literature on the relationship between cognitive abilities and labour market outcomes providing first evidence for Germany. In particular, cross-sectional data from the German Socio-Economic Panel (SOEP) are used, which include two measures of cognitive ability, one test of fluid mechanics (speed test) and another test of crystallised pragmatics (word fluency test). We find a positive relationship between cognitive abilities and economic activity, as workers with high ability test scores are less likely to be unemployed. In addition, results from Mincer-type OLS and 2SLS regressions suggest that mechanics abilities are correlated with wages in a significantly positive way for West German workers, even when educational attainment is controlled for, whereas pragmatics of cognition do not affect earnings significantly. However, we also find that ability and education are inseparable determinants of earnings, which confirms findings of recent studies for other countries.

Suggested Citation

  • Silke Anger & Guido Heineck, 2006. "Cognitive Abilities and Labour Market Outcomes," Discussion Papers of DIW Berlin 655, DIW Berlin, German Institute for Economic Research.
    • Handle: RePEc:diw:diwwpp:dp655
    as

    Download full text from publisher

    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.55666.de/dp655.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Patrick Royston, 2004. "Multiple imputation of missing values," Stata Journal, StataCorp LP, vol. 4(3), pages 227-241, September.
    4. 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.
    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. Sofie Cabus & Joanna Napierala & Stephanie Carretero, 2021. "The Returns to Non-Cognitive Skills: A Meta-Analysis," JRC Working Papers on Labour, Education and Technology 2021-06, Joint Research Centre.
    2. David Haardt, 2007. "Cognitive functioning and labour force participation among older men and women in England," Social and Economic Dimensions of an Aging Population Research Papers 222, McMaster University.
    3. Ksenia V. Rozhkova & Natalya Yemelina & Sergey Yu. Roshchin, 2021. "Can Non-Cognitive Skills Explain The Gender Wage Gap In Russia? An Unconditional Quantile Regression Approach," HSE Working papers WP BRP 252/EC/2021, National Research University Higher School of Economics.

    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. Lin, Dajun & Lutter, Randall & Ruhm, Christopher J., 2018. "Cognitive performance and labour market outcomes," Labour Economics, Elsevier, vol. 51(C), pages 121-135.
    2. Anger, Silke & Heineck, Guido, 2010. "Cognitive Abilities and Earnings – First Evidence for Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 17(7), pages 699-702.
    3. Tahir Andrabi & Jishnu Das & Asim Ijaz Khwaja & Tristan Zajonc, 2011. "Do Value-Added Estimates Add Value? Accounting for Learning Dynamics," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 29-54, July.
    4. Battaglia, Marianna & Lebedinski, Lara, 2015. "Equal Access to Education: An Evaluation of the Roma Teaching Assistant Program in Serbia," World Development, Elsevier, vol. 76(C), pages 62-81.
    5. Eric A. Hanushek & Victor Lavy & Kohtaro Hitomi, 2008. "Do Students Care about School Quality? Determinants of Dropout Behavior in Developing Countries," Journal of Human Capital, University of Chicago Press, vol. 2(1), pages 69-105.
    6. 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.
    7. 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.
    8. Brown, Charles & Corcoran, Mary, 1997. "Sex-Based Differences in School Content and the Male-Female Wage Gap," Journal of Labor Economics, University of Chicago Press, vol. 15(3), pages 431-465, July.
    9. Caselli, Francesco, 2005. "Accounting for Cross-Country Income Differences," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 9, pages 679-741, Elsevier.
    10. Heineck, Guido & Anger, Silke, 2010. "The returns to cognitive abilities and personality traits in Germany," Labour Economics, Elsevier, vol. 17(3), pages 535-546, June.
    11. 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).
    12. Devah Pager, 2007. "The Use of Field Experiments for Studies of Employment Discrimination: Contributions, Critiques, and Directions for the Future," The ANNALS of the American Academy of Political and Social Science, , vol. 609(1), pages 104-133, January.
    13. Garett Jones, 2005. "IQ in the Ramsey Model: A Naive Calibration," Development and Comp Systems 0507004, University Library of Munich, Germany.
    14. 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.
    15. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde, 2010. "Are Risk Aversion and Impatience Related to Cognitive Ability?," American Economic Review, American Economic Association, vol. 100(3), pages 1238-1260, June.
    16. Piopiunik, Marc & Schwerdt, Guido & Simon, Lisa & Woessmann, Ludger, 2020. "Skills, signals, and employability: An experimental investigation," European Economic Review, Elsevier, vol. 123(C).
    17. Finnie, Ross & Meng, Ronald, 2006. "The Importance of Functional Literacy: Reading and Math Skills and Labour Market Outcomes of High School Drop-outs," Analytical Studies Branch Research Paper Series 2006275e, Statistics Canada, Analytical Studies Branch.
    18. Anna Aizer, 2007. "Neighborhood Violence and Urban Youth," NBER Chapters, in: The Problems of Disadvantaged Youth: An Economic Perspective, pages 275-307, National Bureau of Economic Research, Inc.
    19. A'Hearn, Brian & Baten, Jörg & Crayen, Dorothee, 2009. "Quantifying Quantitative Literacy: Age Heaping and the History of Human Capital," The Journal of Economic History, Cambridge University Press, vol. 69(3), pages 783-808, September.
    20. Bas Jacobs, 2005. "Simulating the Lisbon skills targets in WorldScan," CPB Memorandum 135, CPB Netherlands Bureau for Economic Policy Analysis.

    More about this item

    Keywords

    Cognitive ability; earnings regressions; returns to education; ability bias; unemployment probability;
    All these keywords.

    JEL classification:

    • 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
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

    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:diw:diwwpp:dp655. 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: Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/diwbede.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.