IDEAS home Printed from https://ideas.repec.org/a/red/issued/v7y2004i1p157-180.html
   My bibliography  Save this article

Why Will Technical Change Not Be Permanently Skill-Biased?

Author

Listed:
  • Patricia Crifo-Tillet

    (Universite Catholique de Louvain)

  • Etienne Lehmann

    (Universite Paris-II)

Abstract

We contribute to the debate on skill-biased technical change by studying the long-run dynamics of skill premia in an endogenous growth model in which technical change can be directed alternately towards different factors. We show that R&D resources tend to be directed alternately towards skill-intensive and unskilled-intensive goods, creating cycles in skill premia. If resources were constantly directed towards the same sector, an innovation in a different sector would not be threatened by future innovators. Hence, researchers are incited to switch from one sector to another, in order to avoid the negative effect of innovations constantly occuring in the same sector. (Copyright: Elsevier)

Suggested Citation

  • Patricia Crifo-Tillet & Etienne Lehmann, 2004. "Why Will Technical Change Not Be Permanently Skill-Biased?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 7(1), pages 157-180, January.
    • Handle: RePEc:red:issued:v:7:y:2004:i:1:p:157-180
    DOI: 10.1016/S1094-2025(03)00053-X
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1016/S1094-2025(03)00053-X
    File Function: Full text
    Download Restriction: Access to full texts is restricted to ScienceDirect subscribers and ScienceDirect institutional members. See http://www.sciencedirect.com/ for details.
    File URL: https://libkey.io/10.1016/S1094-2025(03)00053-X?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. Blundell, Richard & Macurdy, Thomas, 1999. "Labor supply: A review of alternative approaches," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 27, pages 1559-1695, Elsevier.
    2. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    3. Daron Acemoglu, 1998. "Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1055-1089.
    4. Chol‐Won Li, 2000. "Growth and Output Fluctuations," Scottish Journal of Political Economy, Scottish Economic Society, vol. 47(2), pages 95-113, May.
    5. Galor, Oded & Tsiddon, Daniel, 1997. "Technological Progress, Mobility, and Economic Growth," American Economic Review, American Economic Association, vol. 87(3), pages 363-382, June.
    6. Boldrin, Michele & Levine, David K., 2002. "Factor Saving Innovation," Journal of Economic Theory, Elsevier, vol. 105(1), pages 18-41, July.
    7. Francesco Caselli, 1999. "Technological Revolutions," American Economic Review, American Economic Association, vol. 89(1), pages 78-102, March.
    8. Daron Acemoglu, 2002. "Directed Technical Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(4), pages 781-809.
    9. 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.
    10. Aghion, P. & Saint-Paul, G., 1991. "On The Virtue of Bad Times: An Analysis of the Interaction Between Economic Fluctuations and Productivity Growth," DELTA Working Papers 91-23, DELTA (Ecole normale supérieure).
    11. Caballero, Ricardo J & Hammour, Mohamad L, 1994. "The Cleansing Effect of Recessions," American Economic Review, American Economic Association, vol. 84(5), pages 1350-1368, December.
    12. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    13. Claudia Goldin & Lawrence F. Katz, 1999. "The Returns to Skill in the United States across the Twentieth Century," NBER Working Papers 7126, National Bureau of Economic Research, Inc.
    14. Per Krusell & Lee E. Ohanian & JosÈ-Victor RÌos-Rull & Giovanni L. Violante, 2000. "Capital-Skill Complementarity and Inequality: A Macroeconomic Analysis," Econometrica, Econometric Society, vol. 68(5), pages 1029-1054, September.
    15. Claudia Goldin & Robert A. Margo, 1992. "The Great Compression: The Wage Structure in the United States at Mid-Century," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(1), pages 1-34.
    16. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1169-1213.
    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. Crifo, Patricia, 2008. "Skill supply and biased technical change," Labour Economics, Elsevier, vol. 15(5), pages 812-830, October.
    2. Linnea Polgreen & Pedro Silos, 2008. "Capital-Skill Complementarity and Inequality: A Sensitivity Analysis," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(2), pages 302-313, April.
    3. Castex, Gonzalo & (Stanley) Cho, Sang-Wook & Dechter, Evgenia, 2022. "The decline in capital-skill complementarity," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    4. Vania Ivanova, 2013. "Opportunities for the Green Economy in Bulgaria," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 4, pages 35-44, December.

    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. Patricia Crifo & Etienne Lehmann, 2001. "Why the Kuznets Curve Will Always Reverse," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00150324, HAL.
    2. Patricia Crifo & Etienne Lehmann, 2001. "Why will the Kuznets Curve always reverse ?," Post-Print halshs-00179987, HAL.
    3. Majumdar, Sumit K., 2014. "Technology and wages: Why firms invest and what happens," Technology in Society, Elsevier, vol. 39(C), pages 44-54.
    4. David B. Audretsch & Mark Sanders, 2007. "Globalization and the Rise of the Entrepreneurial Economy," Jena Economics Research Papers 2007-003, Friedrich-Schiller-University Jena.
    5. Paul Beaudry & David Green, 2001. "Population Growth, Technological Adoption and Economic Outcomes: A Theory of Cross-Country Differences for the Information Era," NBER Working Papers 8149, National Bureau of Economic Research, Inc.
    6. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    7. Maurizio Iacopetta, 2009. "Technological progress and inequality: an ambiguous relationship," Springer Books, in: Uwe Cantner & Jean-Luc Gaffard & Lionel Nesta (ed.), Schumpeterian Perspectives on Innovation, Competition and Growth, pages 181-201, Springer.
    8. Paul Beaudry & David Green, 2000. "The Changing Structure of Wages in the US and Germany: What Explains the Differences?," NBER Working Papers 7697, National Bureau of Economic Research, Inc.
    9. Chanda, Areendam, 2008. "The rise in returns to education and the decline in household savings," Journal of Economic Dynamics and Control, Elsevier, vol. 32(2), pages 436-469, February.
    10. Acemoglu, Daron & Gancia, Gino & Zilibotti, Fabrizio, 2012. "Competing engines of growth: Innovation and standardization," Journal of Economic Theory, Elsevier, vol. 147(2), pages 570-601.3.
    11. Borghans, Lex & ter Weel, Bas, 2007. "The diffusion of computers and the distribution of wages," European Economic Review, Elsevier, vol. 51(3), pages 715-748, April.
    12. Daron Acemoglu, 2003. "Patterns of Skill Premia," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 199-230.
    13. Crifo, Patricia, 2008. "Skill supply and biased technical change," Labour Economics, Elsevier, vol. 15(5), pages 812-830, October.
    14. Kevin H. O'Rourke & Ahmed S. Rahman & Alan M. Taylor, 2007. "Trade, Knowledge and the Industrial Revolution," Development Working Papers 230, Centro Studi Luca d'Agliano, University of Milano.
    15. Nancy Stokey, 2021. "Technology and Skill: Twin Engines of Growth," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 40, pages 12-43, April.
    16. Joseph K. Kaboski, 2009. "Education, Sectoral Composition and Growth," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(1), pages 168-182, January.
    17. T. Gries & R. Grundmann & I. Palnau & M. Redlin, 2017. "Innovations, growth and participation in advanced economies - a review of major concepts and findings," International Economics and Economic Policy, Springer, vol. 14(2), pages 293-351, April.
    18. Yoshiaki Azuma & Herschel I. Grossman, 2003. "Educational Inequality," LABOUR, CEIS, vol. 17(3), pages 317-335, September.
    19. Francesco Caselli & Wilbur John Coleman II, 2002. "The U.S. Technology Frontier," American Economic Review, American Economic Association, vol. 92(2), pages 148-152, May.
    20. Zsófia L. Bárány, 2016. "The Minimum Wage and Inequality: The Effects of Education and Technology," Journal of Labor Economics, University of Chicago Press, vol. 34(1), pages 237-274.

    More about this item

    Keywords

    Innovation-Driven Growth; Wage Inequality; Skill-Biased Technical Change; Cycles.;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth 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:red:issued:v:7:y:2004:i:1:p:157-180. 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: Christian Zimmermann (email available below). General contact details of provider: https://edirc.repec.org/data/sedddea.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.