IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v17y2024i1p36-d1320166.html
   My bibliography  Save this article

Human Resource Investment and Early-Stage Career Choice: Evaluating Work–Life Income Paths in 21st-Century Canada

Author

Listed:
  • Gordon Anderson

    (Department of Economics, University of Toronto, Toronto, ON M5S 1A1, Canada)

Abstract

Of necessity, people make many investment decisions regarding their human resource stock early in their life cycle, long before outcomes predicated upon those choices are realized. Different choices involve very different initial effort and financing outlays and issues arise as to how these alternative paths can be compared and evaluated. Here, techniques for the cardinal comparison of human resource contingent work–life-cycle income value profiles under alternative income valuation function assumptions are outlined and instruments for examining potential ambiguities in comparison developed. All are applied in an analysis of the impact of different levels of investment of human resources in 21st-century Canada. The results, with one notable exception (the choice for boys between a trade or a bachelor-level degree), indicate unambiguous life-cycle benefits to higher levels of human resource stock investment for both girls and boys. Within gender, best–worst relative magnitudes are increasing over time for both genders but more so for girls. Boys are enjoying a universal but diminishing premium over time, reflective of male–female income convergence.

Suggested Citation

  • Gordon Anderson, 2024. "Human Resource Investment and Early-Stage Career Choice: Evaluating Work–Life Income Paths in 21st-Century Canada," JRFM, MDPI, vol. 17(1), pages 1-19, January.
    • Handle: RePEc:gam:jjrfmx:v:17:y:2024:i:1:p:36-:d:1320166
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/17/1/36/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1911-8074/17/1/36/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pedro Carneiro & Karsten T. Hansen & James J. Heckman, 2003. "2001 Lawrence R. Klein Lecture Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College Choice," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 361-422, May.
    2. Marcel Kerkhofs & Maarten Lindeboom, 1997. "Age related health dynamics and changes in labour market status," Health Economics, John Wiley & Sons, Ltd., vol. 6(4), pages 407-423, July.
    3. Dwyer, Peggy D. & Gilkeson, James H. & List, John A., 2002. "Gender differences in revealed risk taking: evidence from mutual fund investors," Economics Letters, Elsevier, vol. 76(2), pages 151-158, July.
    4. Anderson, Gordon, 1996. "Nonparametric Tests of Stochastic Dominance in Income Distributions," Econometrica, Econometric Society, vol. 64(5), pages 1183-1193, September.
    5. Gordon Anderson & Thierry Post & Yoon-Jae Whang, 2020. "Somewhere Between Utopia and Dystopia: Choosing From Multiple Incomparable Prospects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 502-515, July.
    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. Gordon Anderson & Oliver Linton & Maria Grazia Pittau & Yoon-Jae Whang & Roberto Zelli, 2021. "On unit free assessment of the extent of multilateral distributional variation," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 502-518.
    2. Anderson, Gordon & Fu, Rui & Leo, Teng Wah, 2022. "Health, loneliness and the ageing process in the absence of cardinal measure: Rendering intangibles tangible," The Journal of the Economics of Ageing, Elsevier, vol. 22(C).
    3. Oliver Linton & Esfandiar Maasoumi & Yoon-Jae Wang, 2002. "Consistent testing for stochastic dominance: a subsampling approach," CeMMAP working papers 03/02, Institute for Fiscal Studies.
    4. Kemptner, Daniel & Tolan, Songül, 2018. "The role of time preferences in educational decision making," Economics of Education Review, Elsevier, vol. 67(C), pages 25-39.
    5. Grossmann, Volker, 2008. "Risky human capital investment, income distribution, and macroeconomic dynamics," Journal of Macroeconomics, Elsevier, vol. 30(1), pages 19-42, March.
    6. Bonhomme, Stphane & Robin, Jean-Marc, 2009. "Consistent noisy independent component analysis," Journal of Econometrics, Elsevier, vol. 149(1), pages 12-25, April.
    7. Jeremy T. Fox, 2010. "Estimating the Employer Switching Costs and Wage Responses of Forward-Looking Engineers," Journal of Labor Economics, University of Chicago Press, vol. 28(2), pages 357-412, April.
    8. 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.
    9. Dräger, Lena & Lamla, Michael J. & Pfajfar, Damjan, 2020. "The Hidden Heterogeneity of Inflation and Interest Rate Expectations: The Role of Preferences," Hannover Economic Papers (HEP) dp-666, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, revised Feb 2023.
    10. Fossen, Frank M. & Glocker, Daniela, 2017. "Stated and revealed heterogeneous risk preferences in educational choice," European Economic Review, Elsevier, vol. 97(C), pages 1-25.
    11. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2013. "Risk-averse and Risk-seeking Investor Preferences for Oil Spot and Futures," Documentos de Trabajo del ICAE 2013-31, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, revised Aug 2013.
    12. Jesus Gonzalo & Jose Olmo, 2014. "Conditional Stochastic Dominance Tests In Dynamic Settings," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(3), pages 819-838, August.
    13. Francesco Agostinelli & Matthew Wiswall, 2016. "Identification of Dynamic Latent Factor Models: The Implications of Re-Normalization in a Model of Child Development," NBER Working Papers 22441, National Bureau of Economic Research, Inc.
    14. Maasoumi, Esfandiar & Almas Heshmati, 2003. "Evaluating Dominance Ranking of PSID Incomes by various Household Attributes," Departmental Working Papers 0509, Southern Methodist University, Department of Economics.
    15. Tony Smith & M. Fatih Guvenen, 2007. "Inferring Labor Income Risk from Economic Choices: An Indirect Inference Approach," 2007 Meeting Papers 1024, Society for Economic Dynamics.
    16. Amin, Sajeda & Rai, Ashok S. & Topa, Giorgio, 2003. "Does microcredit reach the poor and vulnerable? Evidence from northern Bangladesh," Journal of Development Economics, Elsevier, vol. 70(1), pages 59-82, February.
    17. Shakeeb Khan & Arnaud Maurel & Yichong Zhang, 2019. "Informational Content of Factor Structures in Simultaneous Binary Response Models," Boston College Working Papers in Economics 985, Boston College Department of Economics.
    18. Cupák, Andrej & Fessler, Pirmin & Schneebaum, Alyssa, 2021. "Gender differences in risky asset behavior: The importance of self-confidence and financial literacy," Finance Research Letters, Elsevier, vol. 42(C).
    19. Stephen Leider & Markus M. Möbius & Tanya Rosenblat & Quoc-Anh Do, 2010. "What Do We Expect from Our Friends?," Journal of the European Economic Association, MIT Press, vol. 8(1), pages 120-138, March.
    20. Schwieren, Christiane & Sutter, Matthias, 2008. "Trust in cooperation or ability? An experimental study on gender differences," Economics Letters, Elsevier, vol. 99(3), pages 494-497, June.

    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:gam:jjrfmx:v:17:y:2024:i:1:p:36-:d:1320166. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.