IDEAS home Printed from https://ideas.repec.org/p/ces/ifowps/_89.html
   My bibliography  Save this paper

The Economic Impact of Capital-Skill Complementarities in German and US Industries Productivity Growth and the New Economy

Author

Listed:
  • Thomas Strobel

Abstract

US labor productivity in ICT-skill intensive industries experienced tremendous increases in post–1995 trend growth compared to Germany, while other (non-ICT-skill intensive) industries showed similar growth trends in both countries. Examining the source of industry productivity growth in German ICT-skill intensive sectors, there is no empirical evidence on the influence of ICT-skill complementarities; rather was productivity growth of German Motor Vehicles & Other Transports driven by Non-ICT-skill complementarities. In case of the US two ICT-skill intensive sectors, Office Machinery & Electronic Equipment and Motor Vehicles & Other Transport, were found to have experienced strong productivity growth via ICT-skill complementarities. These findings shed light on varying sectoral complementarities between physical and human capital and show a decisive disparity in the source of German-US productivity differentials in the goods-producing sector during the New Economy. Such differentials originated from a substantial dissimilarity in production processes as well as from higher ICT intensity and skill endowment in the US.

Suggested Citation

  • Thomas Strobel, 2010. "The Economic Impact of Capital-Skill Complementarities in German and US Industries Productivity Growth and the New Economy," ifo Working Paper Series 89, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    • Handle: RePEc:ces:ifowps:_89
    as

    Download full text from publisher

    File URL: https://www.ifo.de/DocDL/IfoWorkingPaper-89.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    2. Hornstein, Andreas & Krusell, Per & Violante, Giovanni L., 2005. "The Effects of Technical Change on Labor Market Inequalities," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 20, pages 1275-1370, Elsevier.
    3. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    4. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2006. "The Polarization of the U.S. Labor Market," American Economic Review, American Economic Association, vol. 96(2), pages 189-194, May.
    5. Bartel, Ann P & Lichtenberg, Frank R, 1987. "The Comparative Advantage of Educated Workers in Implementing New Technology," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 1-11, February.
    6. 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.
    7. Jorgenson, Dale W., 2005. "Accounting for Growth in the Information Age," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 10, pages 743-815, Elsevier.
    8. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    9. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    10. Bond, Stephen & Van Reenen, John, 2007. "Microeconometric Models of Investment and Employment," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 65, Elsevier.
    11. Philippe Aghion, 2002. "Schumpeterian Growth Theory and the Dynamics of Income Inequality," Econometrica, Econometric Society, vol. 70(3), pages 855-882, May.
    12. Paul Schreyer, 2001. "The OECD Productivity Manual: A Guide to the Measurement of Industry-Level and Aggregate Productivity," International Productivity Monitor, Centre for the Study of Living Standards, vol. 2, pages 37-51, Spring.
    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. Thomas Strobel, 2014. "Directed technological change, skill complementarities and sectoral productivity growth: evidence from industrialized countries during the new economy," Journal of Productivity Analysis, Springer, vol. 42(3), pages 255-275, December.
    2. 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.
    3. Davide Consoli & Francesco Vona & Francesco Rentocchini, 2016. "That was then, this is now: skills and routinization in the 2000s," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 25(5), pages 847-866.
    4. Antonio Francesco Gravina, 2020. "Nonlinearities and the Determinants of Inequality: New Panel Evidence," Working Papers 2020.22, Fondazione Eni Enrico Mattei.
    5. Thomas Strobel, 2010. "Institutions and Innovations as Sources of Productivity Growth Cross-Country Evidence," ifo Working Paper Series 87, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    6. Sabien Dobbelaere & Mark Vancauteren, 2014. "Market imperfections, skills and total factor productivity : Firm-level evidence on Belgium and the Netherlands," Working Paper Research 267, National Bank of Belgium.
    7. Gravina, Antonio Francesco & Lanzafame, Matteo, 2020. "Nonlinearities and the Determinants of Inequality: New Panel Evidence," 2030 Agenda 308018, Fondazione Eni Enrico Mattei (FEEM).
    8. Gravina, Antonio Francesco & Lanzafame, Matteo, 2021. "Finance, globalisation, technology and inequality: Do nonlinearities matter?," Economic Modelling, Elsevier, vol. 96(C), pages 96-110.
    9. Schulte, Patrick, 2021. "Skill Bias magnified: Identifying the role of international technology diffusion," Journal of International Economics, Elsevier, vol. 129(C).
    10. David Hémous & Morten Olsen, 2022. "The Rise of the Machines: Automation, Horizontal Innovation, and Income Inequality," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(1), pages 179-223, January.
    11. Meschi, Elena & Taymaz, Erol & Vivarelli, Marco, 2011. "Trade, technology and skills: Evidence from Turkish microdata," Labour Economics, Elsevier, vol. 18(S1), pages 60-70.
    12. Carstensen, Kai & Toubal, Farid, 2004. "Foreign direct investment in Central and Eastern European countries: a dynamic panel analysis," Journal of Comparative Economics, Elsevier, vol. 32(1), pages 3-22, March.
    13. Andrés Rodríguez‐Pose & Roberto Ganau & Kristina Maslauskaite & Monica Brezzi, 2021. "Credit constraints, labor productivity, and the role of regional institutions: Evidence from manufacturing firms in Europe," Journal of Regional Science, Wiley Blackwell, vol. 61(2), pages 299-328, March.
    14. Buettner Thiess & Hoenig Anja, 2016. "Determinants of Business Fixed Investment: Evidence from German Firm-Level Data," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(5), pages 533-556, October.
    15. Dobbelaere, Sabien & Kiyota, Kozo & Mairesse, Jacques, 2015. "Product and labor market imperfections and scale economies: Micro-evidence on France, Japan and the Netherlands," Journal of Comparative Economics, Elsevier, vol. 43(2), pages 290-322.
    16. MacDonald, Ronald & Majeed, Muhammad Tariq, 2010. "Distributional and Poverty Consequences of Globalization: A Dynamic Comparative Analysis for Developing Countries," SIRE Discussion Papers 2010-62, Scottish Institute for Research in Economics (SIRE).
    17. repec:hal:spmain:info:hdl:2441/2ajduu0gqt9ho8h2tavbin6ops is not listed on IDEAS
    18. Ariell Reshef, 2013. "Is Technological Change Biased Towards the Unskilled in Services? An Empirical Investigation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(2), pages 312-331, April.
    19. Piva, Mariacristina & Santarelli, Enrico & Vivarelli, Marco, 2005. "The skill bias effect of technological and organisational change: Evidence and policy implications," Research Policy, Elsevier, vol. 34(2), pages 141-157, March.
    20. Capolupo, Rosa, 2009. "The New Growth Theories and Their Empirics after Twenty Years," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-72.
    21. M. Tariq MAJEED* & Guangfeng ZHANG**, 2014. "INEQUALITY, TRADE AND ECONOMIC DEVELOPMENT:Evidence from Developing Countries," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 24(1), pages 39-73.

    More about this item

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • O50 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - General

    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:ces:ifowps:_89. 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/ifooode.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.