IDEAS home Printed from https://ideas.repec.org/a/taf/ecinnt/v22y2013i1p23-45.html
   My bibliography  Save this article

The effects of technological change on schooling and training human capital

Author

Listed:
  • Xueda Song

Abstract

This study investigates the differential effects of technological change on general human capital acquired through schooling and technology-specific human capital acquired through training based on a life-cycle human capital investment model. Using data from the National Longitudinal Survey of Youth 79 (1987--2003), I find that for both high-ability and low-ability individuals, the net effect of technological change on training human capital is obsolescence, whereas that on schooling human capital is an increase in productivity in spite of the obsolescence. This finding is consistent with the view that individuals with more schooling may enjoy an advantage under rapid technological change over those with less schooling. I also find that technological change exerts differential impacts on individuals with different ability levels, which provides support for the skill-biased technical change theory.

Suggested Citation

  • Xueda Song, 2013. "The effects of technological change on schooling and training human capital," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(1), pages 23-45, January.
    • Handle: RePEc:taf:ecinnt:v:22:y:2013:i:1:p:23-45
    DOI: 10.1080/10438599.2012.698844
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10438599.2012.698844
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10438599.2012.698844?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    References listed on IDEAS

    as
    1. Eric J. Bartelsman & Wayne Gray, 1996. "The NBER Manufacturing Productivity Database," NBER Technical Working Papers 0205, National Bureau of Economic Research, Inc.
    2. Riddell, W. Craig & Song, Xueda, 2011. "Education, Job Search and Re-employment Outcomes among the Unemployed," IZA Discussion Papers 6134, Institute of Labor Economics (IZA).
    3. Jacob Mincer, 1989. "Human Capital Responses to Technological Change in the Labor Market," NBER Working Papers 3207, National Bureau of Economic Research, Inc.
    4. Weinberg, Bruce A., 2004. "Experience and Technology Adoption," IZA Discussion Papers 1051, Institute of Labor Economics (IZA).
    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. N Renuga Nagarajan & Mineko Wada & Mei Lan Fang & Andrew Sixsmith, 2019. "Defining organizational contributions to sustaining an ageing workforce: a bibliometric review," European Journal of Ageing, Springer, vol. 16(3), pages 337-361, September.

    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. Claudia Goldin & Lawrence F. Katz, 1998. "The Origins of Technology-Skill Complementarity," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(3), pages 693-732.
    2. Krause, M.U., 2002. "Inter-Industry Wage Differentials and Job Flows," Discussion Paper 2002-3, Tilburg University, Center for Economic Research.
    3. Andrei A Levchenko & Jing Zhang, 2013. "The Global Labor Market Impact of Emerging Giants: A Quantitative Assessment," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 61(3), pages 479-519, August.
    4. Arik Levinson, 2009. "Technology, International Trade, and Pollution from US Manufacturing," American Economic Review, American Economic Association, vol. 99(5), pages 2177-2192, December.
    5. Arik Levinson & M. Scott Taylor, 2008. "Unmasking The Pollution Haven Effect," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(1), pages 223-254, February.
    6. Barth, Erling & Davis, James C. & Freeman, Richard B. & McElheran, Kristina, 2023. "Twisting the demand curve: Digitalization and the older workforce," Journal of Econometrics, Elsevier, vol. 233(2), pages 443-467.
    7. Aubhik Khan & Julia K. Thomas, 2007. "Inventories and the Business Cycle: An Equilibrium Analysis of ( S , s ) Policies," American Economic Review, American Economic Association, vol. 97(4), pages 1165-1188, September.
    8. Dick van Dijk & Dennis Fok & Philip Hans Franses, 2005. "A multi-level panel STAR model for US manufacturing sectors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(6), pages 811-827.
    9. Miguel Jimenez & Domenico Marchetti, 2002. "Interpreting the procyclical productivity of manufacturing sectors: can we really rule out external effects?," Applied Economics, Taylor & Francis Journals, vol. 34(7), pages 805-817.
    10. Meredith A. Crowley, 2004. "Antidumping Policy Under Imperfect Competition: Theory and Evidence," Econometric Society 2004 North American Summer Meetings 443, Econometric Society.
    11. Rebecca Riley & Simon Kirby, 2006. "The Returns to General versus Job-Specific Skills: the Role of Information and Communication Technology," National Institute of Economic and Social Research (NIESR) Discussion Papers 274, National Institute of Economic and Social Research.
    12. Robert C. Feenstra & Gordon H. Hanson, "undated". "Productivity Measurement And The Impact Of Trade And Technology On Wages: Estimates For The U.S., 1972-1990," Department of Economics 97-17, California Davis - Department of Economics.
    13. Chang, Yongsung & Hornstein, Andreas & Sarte, Pierre-Daniel, 2009. "On the employment effects of productivity shocks: The role of inventories, demand elasticity, and sticky prices," Journal of Monetary Economics, Elsevier, vol. 56(3), pages 328-343, April.
    14. Nicholas Bloom & Charles I. Jones & John Van Reenen & Michael Webb, 2020. "Are Ideas Getting Harder to Find?," American Economic Review, American Economic Association, vol. 110(4), pages 1104-1144, April.
    15. Cardullo, Gabriele & Conti, Maurizio & Sulis, Giovanni, 2015. "Sunk capital, unions and the hold-up problem: Theory and evidence from cross-country sectoral data," European Economic Review, Elsevier, vol. 76(C), pages 253-274.
    16. Johnson, Joanne & Baldwin, John R., 1995. "Developpement du capital humain et innovation : la formation dans les petites et moyennes entreprises," Direction des études analytiques : documents de recherche 1995074f, Statistics Canada, Direction des études analytiques.
    17. Shuyun May Li, 2008. "Employment Flows with Endogenous Financing Constraints," Department of Economics - Working Papers Series 1045, The University of Melbourne.
    18. Nicholas Bloom & John Van Reenen, 2007. "Measuring and Explaining Management Practices Across Firms and Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(4), pages 1351-1408.
    19. Lex Borghans & Bas ter Weel, 2008. "Understanding the Technology of Computer Technology Diffusion: Explaining Computer Adoption Patterns and Implications for the Wage Structure," Journal of Income Distribution, Ad libros publications inc., vol. 17(3-4), pages 37-70, September.
    20. Ferguson, Shon & Formai, Sara, 2013. "Institution-driven comparative advantage and organizational choice," Journal of International Economics, Elsevier, vol. 90(1), pages 193-200.

    More about this item

    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:taf:ecinnt:v:22:y:2013:i:1:p:23-45. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GEIN20 .

    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.