IDEAS home Printed from https://ideas.repec.org/a/bla/manchs/v85y2017i2p183-211.html
   My bibliography  Save this article

Brain Types and Wages

Author

Listed:
  • Nick Drydakis

Abstract

We examine the association between brain types and wages using the UK Behavioural Study dataset for the period 2011 to 2013 (four waves). By applying Empathising-Systemising Theory (E-S), the estimations suggest that, for men and women, systemising traits are associated with higher wage returns than empathising traits and that a Type-S brain (also known as a Male-brain, entailing greater skills in directing systems) is associated with higher wage rewards than a Type-E brain (also known as a Female-brain, entailing more social skills). In addition, wage decompositions suggest that systemising traits can explain greater differences in the assigned gender wage gap compared to empathising traits. Interestingly, the estimations suggest that the wage returns of empathising and systemising traits vary by occupation and that each trait might provide an absolute wage-return advantage in certain occupations. Whilst men and women in certain occupations might face positive wage rewards when they have empathising and systemising traits and work atypical of those common to their gender, it would appear that evaluating individuals' empathising, systemising and brain type is perceived to be important for employees' wage returns.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Nick Drydakis, 2017. "Brain Types and Wages," Manchester School, University of Manchester, vol. 85(2), pages 183-211, March.
  • Handle: RePEc:bla:manchs:v:85:y:2017:i:2:p:183-211
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/manc.12142
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ziliak, James P. & Hardy, Bradley & Bollinger, Christopher, 2011. "Earnings volatility in America: Evidence from matched CPS," Labour Economics, Elsevier, vol. 18(6), pages 742-754.
    2. Moris Triventi, 2013. "The gender wage gap and its institutional context: a comparative analysis of European graduates," Work, Employment & Society, British Sociological Association, vol. 27(4), pages 563-580, August.
    3. Shoshana Grossbard (ed.), 2006. "Jacob Mincer A Pioneer of Modern Labor Economics," Springer Books, Springer, number 978-0-387-29175-8, January.
    4. Cobb-Clark, Deborah A. & Tan, Michelle, 2011. "Noncognitive skills, occupational attainment, and relative wages," Labour Economics, Elsevier, vol. 18(1), pages 1-13, January.
    5. Thomas Lemieux, 2006. "The “Mincer Equation” Thirty Years After Schooling, Experience, and Earnings," Springer Books, in: Shoshana Grossbard (ed.), Jacob Mincer A Pioneer of Modern Labor Economics, chapter 11, pages 127-145, Springer.
    6. Becker, Gary S, 1993. "Nobel Lecture: The Economic Way of Looking at Behavior," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 385-409, June.
    7. Kenneth J. Arrow, 1998. "What Has Economics to Say about Racial Discrimination?," Journal of Economic Perspectives, American Economic Association, vol. 12(2), pages 91-100, Spring.
    8. Shin, Donggyun & Solon, Gary, 2011. "Trends in men's earnings volatility: What does the Panel Study of Income Dynamics show?," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 973-982, August.
    9. Blau, Francine D., 2016. "Gender, Inequality, and Wages," OUP Catalogue, Oxford University Press, number 9780198779971 edited by Gielen, Anne C. & Zimmermann, Klaus F..
    10. Francesca Bettio, 2002. "The Pros and Cons of Occupational Gender Segregation in Europe," Canadian Public Policy, University of Toronto Press, vol. 28(s1), pages 65-84, May.
    11. 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.
    12. Christian Dustmann & María Engracia Rochina-Barrachina, 2007. "Selection correction in panel data models: An application to the estimation of females' wage equations," Econometrics Journal, Royal Economic Society, vol. 10(2), pages 263-293, July.
    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. Drydakis, Nick & Sidiropoulou, Katerina & Patnaik, Swetketu & Selmanovic, Sandra & Bozani, Vasiliki, 2017. "Masculine vs Feminine Personality Traits and Women's Employment Outcomes in Britain: A Field Experiment," IZA Discussion Papers 11179, Institute of Labor Economics (IZA).
    2. Gu, Ke & Stoyanov, Andrey, 2022. "Female Labor Supply and International Trade," MPRA Paper 111778, University Library of Munich, Germany.
    3. Cobb-Clark, Deborah A., 2016. "Biology and Gender in the Labor Market," IZA Discussion Papers 10386, Institute of Labor Economics (IZA).

    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. Nick Drydakis, 2014. "Bullying at school and labour market outcomes," International Journal of Manpower, Emerald Group Publishing Limited, vol. 35(8), pages 1185-1211, October.
    2. Drydakis, Nick, 2015. "The effect of unemployment on self-reported health and mental health in Greece from 2008 to 2013: A longitudinal study before and during the financial crisis," Social Science & Medicine, Elsevier, vol. 128(C), pages 43-51.
    3. Canyon Bosler & Mary C. Daly & John G. Fernald & Bart Hobijn, 2017. "The Outlook for US Labor-Quality Growth," NBER Chapters, in: Education, Skills, and Technical Change: Implications for Future US GDP Growth, pages 61-110, National Bureau of Economic Research, Inc.
    4. Drydakis, Nick, 2011. "Roma Women in Athenian Firms: Do They Face Wage Bias?," IZA Discussion Papers 5732, Institute of Labor Economics (IZA).
    5. Cléo Chassonnery-Zaïgouche, 2015. "Crossing Boundaries, Displacing Previous Knowledge and Claiming Superiority: Is the Economics of Discrimination a Conquest of Economics Imperialism?," STOREPapers 5_2015, Associazione Italiana per la Storia dell'Economia Politica - StorEP.
    6. Heckman, James J. & Urzúa, Sergio, 2010. "Comparing IV with structural models: What simple IV can and cannot identify," Journal of Econometrics, Elsevier, vol. 156(1), pages 27-37, May.
    7. By Tyas Prevoo & Bas ter Weel, 2015. "The importance of early conscientiousness for socio-economic outcomes: evidence from the British Cohort Study," Oxford Economic Papers, Oxford University Press, vol. 67(4), pages 918-948.
    8. Arthur Charpentier & Emmanuel Flachaire & Antoine Ly, 2017. "Econom\'etrie et Machine Learning," Papers 1708.06992, arXiv.org, revised Mar 2018.
    9. Pons Rotger, Gabriel & Rosholm, Michael, 2020. "The Role of Beliefs in Long Sickness Absence: Experimental Evidence from a Psychological Intervention," IZA Discussion Papers 13582, Institute of Labor Economics (IZA).
    10. Majda Benzidia & Michel Lubrano, 2016. "A Bayesian Look at American Academic Wages: The Case of Michigan State University," AMSE Working Papers 1628, Aix-Marseille School of Economics, France.
    11. Otto Kässi, 2014. "Earnings dynamics of men and women in Finland: permanent inequality versus earnings instability," Empirical Economics, Springer, vol. 46(2), pages 451-477, March.
    12. Krishnan, Pramila & Krutikova, Sofya, 2013. "Non-cognitive skill formation in poor neighbourhoods of urban India," Labour Economics, Elsevier, vol. 24(C), pages 68-85.
    13. 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).
    14. Humburg, M., 2014. "Personality and field of study choice," ROA Research Memorandum 001, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    15. Briole, Simon & Le Forner, Hélène & Lepinteur, Anthony, 2020. "Children’s socio-emotional skills: Is there a quantity–quality trade-off?," Labour Economics, Elsevier, vol. 64(C).
    16. Johnston, David W. & Kassenboehmer, Sonja C. & Shields, Michael A., 2016. "Financial decision-making in the household: Exploring the importance of survey respondent, health, cognitive ability and personality," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PA), pages 42-61.
    17. Ross Levine & Alexey Levkov & Yona Rubinstein, 2008. "Racial Discrimination and Competition," NBER Working Papers 14273, National Bureau of Economic Research, Inc.
    18. MacLeod, W Bentley, 2016. "Human capital: Linking behavior to rational choice via dual process theory," Labour Economics, Elsevier, vol. 41(C), pages 20-31.
    19. Engelhardt, Carina, 2017. "Unemployment and personality: Are conscientiousness and agreeableness related to employability?," Hannover Economic Papers (HEP) dp-621, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    20. Fortin, Bernard & Ragued, Safa, 2017. "Does temporary interruption in postsecondary education induce a wage penalty? Evidence from Canada," Economics of Education Review, Elsevier, vol. 58(C), pages 108-122.

    More about this item

    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

    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:bla:manchs:v:85:y:2017:i:2:p:183-211. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/semanuk.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.