IDEAS home Printed from https://ideas.repec.org/p/aut/wpaper/202013.html
   My bibliography  Save this paper

The Devil is in the Details: In and Out of Unemployment - Labour Market Dynamics and the Role of Testosterone

Author

Listed:
  • Peter Eibich

    (Max Planck Institute for Demographic Research)

  • Ricky Kanabar

    (Centre for Analysis of Social Policy and Centre for Death and Society, University of Bath)

  • Alexander Plum

    (NZ Work Research Institute, Faculty of Business, Economics and Law at AUT University)

  • Julian Schmied

    (Max Planck Institute for Demographic Research)

Abstract

Biological processes have provided new insights into diverging labour market trajectories. In this paper, we use population variation in testosterone levels to explain transition probabilities into and out of unemployment. We follow individual employment histories for 1,771 initially employed and 109 initially unemployed British men from the UK Household Longitudinal Study (“Understanding Society”) be-tween 2009 and 2015. To account for unobserved heterogeneity, we apply dynamic random effect models. We find that individuals with high testosterone levels are more likely to become unemployed, but they are also more likely to exit unemployment. Based on previous studies and descriptive evidence, we argue that these effects are likely driven by personality traits and occupational sorting of men with high testosterone levels. Our findings suggest that latent biological processes can affect job search behaviour and labour market outcomes, without necessarily relating to illness and disability.

Suggested Citation

  • Peter Eibich & Ricky Kanabar & Alexander Plum & Julian Schmied, 2020. "The Devil is in the Details: In and Out of Unemployment - Labour Market Dynamics and the Role of Testosterone," Working Papers 2020-13, Auckland University of Technology, Department of Economics.
  • Handle: RePEc:aut:wpaper:202013
    as

    Download full text from publisher

    File URL: https://www.aut.ac.nz/__data/assets/pdf_file/0007/430927/Working-paper-13_20_update.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bijlsma, Maarten & Tarkiainen, Lasse & Myrskylä, Mikko & Martikainen, Pekka, 2017. "Unemployment and subsequent depression: A mediation analysis using the parametric G-formula," LSE Research Online Documents on Economics 85335, London School of Economics and Political Science, LSE Library.
    2. Jan Marcus, 2014. "Does Job Loss Make You Smoke and Gain Weight?," Economica, London School of Economics and Political Science, vol. 81(324), pages 626-648, October.
    3. Bann, David & Hardy, Rebecca & Cooper, Rachel & Lashen, Hany & Keevil, Brian & Wu, Frederick C.W. & Holly, Jeff M.P. & Ong, Ken K. & Ben-Shlomo, Yoav & Kuh, Diana, 2015. "Socioeconomic conditions across life related to multiple measures of the endocrine system in older adults: Longitudinal findings from a British birth cohort study," Social Science & Medicine, Elsevier, vol. 147(C), pages 190-199.
    4. Arulampalam, Wiji, 2001. "Is Unemployment Really Scarring? Effects of Unemployment Experiences on Wages," Economic Journal, Royal Economic Society, vol. 111(475), pages 585-606, November.
    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. Eibich, Peter & Kanabar, Ricky & Plum, Alexander & Schmied, Julian, 2022. "In and out of unemployment—Labour market transitions and the role of testosterone," Economics & Human Biology, Elsevier, vol. 46(C).
    2. Been, J.; & Suari-Andreu, E.; & Knoef, M.;, 2022. "The short-run effects of unexpected job loss on health," Health, Econometrics and Data Group (HEDG) Working Papers 22/21, HEDG, c/o Department of Economics, University of York.
    3. Inmaculada Garc�a-Mainar & V�ctor M. Montuenga-G�mez, 2017. "Subjective educational mismatch and signalling in Spain," Documentos de Trabajo dt2017-03, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    4. Clark, Andrew E. & Lepinteur, Anthony, 2019. "The causes and consequences of early-adult unemployment: Evidence from cohort data," Journal of Economic Behavior & Organization, Elsevier, vol. 166(C), pages 107-124.
    5. D'Addio, Anna Cristina & De Greef, Isabelle & Rosholm, Michael, 2002. "Assessing Unemployment Traps in Belgium Using Panel Data Sample Selection Models," IZA Discussion Papers 669, Institute of Labor Economics (IZA).
    6. André Hajek, 2013. "Life Satisfaction and Unemployment: The Role of Voluntariness and Job Prospects," SOEPpapers on Multidisciplinary Panel Data Research 601, DIW Berlin, The German Socio-Economic Panel (SOEP).
    7. Alison L. Booth & Marco Francesconi & Jeff Frank, 2002. "Temporary Jobs: Stepping Stones Or Dead Ends?," Economic Journal, Royal Economic Society, vol. 112(480), pages 189-213, June.
    8. Baert, Stijn & Cockx, Bart, 2013. "Pure ethnic gaps in educational attainment and school to work transitions: When do they arise?," Economics of Education Review, Elsevier, vol. 36(C), pages 276-294.
    9. repec:spo:wpmain:info:hdl:2441/417l64npmp86ub068rsa2s16rt is not listed on IDEAS
    10. Koç, E., 2015. "Job Finding, Job Loss and Consumption Behaviour," Other publications TiSEM 257b35a1-8c5c-4662-88db-a, Tilburg University, School of Economics and Management.
    11. Christian Bünnings, 2013. "Does New Health Information Affect Health Behavior? The Effect of Health Events on Smoking Cessation," Ruhr Economic Papers 0459, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    12. Hetschko, Clemens & Schöb, Ronnie & Wolf, Tobias, 2020. "Income support, employment transitions and well-being," Labour Economics, Elsevier, vol. 66(C).
    13. Samara Ahmed & Adil E. Rajput & Akila Sarirete & Asma Aljaberi & Ohoud Alghanem & Abrar Alsheraigi, 2020. "Studying Unemployment Effects on Mental Health: Social Media versus the Traditional Approach," Sustainability, MDPI, vol. 12(19), pages 1-14, October.
    14. Biewen, Martin & Fitzenberger, Bernd & de Lazzer, Jakob, 2017. "Rising Wage Inequality in Germany: Increasing Heterogeneity and Changing Selection into Full-Time Work," IZA Discussion Papers 11072, Institute of Labor Economics (IZA).
    15. Werner Eichhorst & Tito Boeri & Michela Braga & An de Coen & Galasso Vicenzo & Maarten Gerard & Michael J. Kendzia & Christine Mayrhuber & Jakob Louis Pedersen & Ricarda Schmidl & Nadia Steiber, 2013. "Combining the Entry of Young People in the Labour Market with the Retention of Older Workers," WIFO Studies, WIFO, number 46988.
    16. Aysit Tansel & H. Mehmet Taşçı, 2010. "Hazard Analysis of Unemployment Duration by Gender in a Developing Country: The Case of Turkey," LABOUR, CEIS, vol. 24(4), pages 501-530, December.
    17. Arulampalam, Wiji, 2002. "State Dependence in Unemployment Incidence: Evidence for British Men Revisited," IZA Discussion Papers 630, Institute of Labor Economics (IZA).
    18. Pohlan, Laura, 2024. "Unemployment's long shadow: the persistent impact on social exclusion," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 58, pages 1-12.
    19. Boheim, Rene & Taylor, Mark P., 2002. "The search for success: do the unemployed find stable employment?," Labour Economics, Elsevier, vol. 9(6), pages 717-735, December.
    20. Ronald Wolthoff, 2014. "It'S About Time: Implications Of The Period Length In An Equilibrium Search Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(3), pages 839-867, August.
    21. Raaum, Oddbjørn & Røed, Knut, 2003. "Do Business Cycle Conditions at the Time of Labour Market Entry Affect Future Unemployment?," Memorandum 12/2002, Oslo University, Department of Economics.

    More about this item

    Keywords

    labour market dynamics; unemployment; testosterone; random-effects probit;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    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:aut:wpaper:202013. 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: Gail Pacheco (email available below). General contact details of provider: https://edirc.repec.org/data/fbautnz.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.