IDEAS home Printed from https://ideas.repec.org/a/sls/ipmsls/v15y20075.html
   My bibliography  Save this article

Old and New Asset Boundaries: A Review Article on Measuring Capital in the New Economy

Author

Listed:
  • Paul Schreyer

Abstract

In modern economies, technical change is rapid and competitive edges of companies are closely related to 'intangible' capital. While some intangibles are covered by established capital measures in the national accounts, many are outside the measurement boundary. The NBER volume at hand brings together the most up-to-date empricial and conceptual work that aims at measuring intangibles comprehensively. The different articles show that there is neither a single definition nor a single method to measure intangibles. This is not surprising given the very nature of these assets. The many challenges for measurement also mean that more work needs to be done before considering a broad set of intangibles assets for recognition in the national accounts. This reduces in no way the value of current and future research on the issue and the NBER volume constitutes an excellent reference for analysts and national accountants.

Suggested Citation

  • Paul Schreyer, 2007. "Old and New Asset Boundaries: A Review Article on Measuring Capital in the New Economy," International Productivity Monitor, Centre for the Study of Living Standards, vol. 15, pages 75-80, Fall.
    • Handle: RePEc:sls:ipmsls:v:15:y:2007:5
    as

    Download full text from publisher

    File URL: http://www.csls.ca/ipm/15/IPM-15-schreyer-e.pdf
    Download Restriction: no
    File URL: http://www.csls.ca/ipm/15/IPM-15-schreyer-f.pdf
    File Function: version en français
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nicholas Oulton, 2007. "Ex Post Versus Ex Ante Measures Of The User Cost Of Capital," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 53(2), pages 295-317, June.
    2. Carol Corrado & John Haltiwanger & Daniel Sichel, 2005. "Measuring Capital in the New Economy," NBER Books, National Bureau of Economic Research, Inc, number corr05-1, March.
    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. Cecilia Iona Lasinio & Massimiliano Iommi & Stefano Manzocchi, 2011. "Intangible capital and Productivity Growth in European Countries," Working Papers LuissLab 1191, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    2. Kamil Makieła, 2009. "Economic Growth Decomposition. An Empirical Analysis Using Bayesian Frontier Approach," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(4), pages 333-369, 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. Robert Inklaar & Marcel P. Timmer, 2012. "Productivity Convergence Across Industries and Countries: The Importance of Theory-based Measurement," Chapters, in: Matilde Mas & Robert Stehrer (ed.), Industrial Productivity in Europe, chapter 11, Edward Elgar Publishing.
    2. Mariela Dal Borgo & Peter Goodridge & Jonathan Haskel & Annarosa Pesole, 2013. "Productivity and Growth in UK Industries: An Intangible Investment Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(6), pages 806-834, December.
    3. Oulton, Nicholas, 2012. "Long term implications of the ICT revolution: Applying the lessons of growth theory and growth accounting," Economic Modelling, Elsevier, vol. 29(5), pages 1722-1736.
    4. Robert Inklaar, 2010. "The Sensitivity Of Capital Services Measurement: Measure All Assets And The Cost Of Capital," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(2), pages 389-412, June.
    5. Peter ven de Ven & Anne Harrison & Barbara Fraumeni & Carol Corrado & Jonathan Haskel & Cecilia Jona-Lasinio, 2017. "Public Intangibles: The Public Sector and Economic Growth in the SNA," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63, pages 355-380, December.
    6. Yu Sheng & Tom Jackson & Shiji Zhao & Dandan Zhang, 2017. "Measuring Output, Input and Total Factor Productivity in Australian Agriculture: An Industry-Level Analysis," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63, pages 169-193, February.
    7. repec:dgr:rugggd:gd-109 is not listed on IDEAS
    8. Robin Döttling & Tomislav Ladika & Enrico Perotti, 2016. "The (Self-)Funding of Intangibles," Tinbergen Institute Discussion Papers 16-093/IV, Tinbergen Institute.
    9. Kyoji Fukao & Cristiano Perugini, 2021. "The Long‐Run Dynamics of the Labor Share in Japan," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(2), pages 445-480, June.
    10. Qing Li & Long Hai Vo, 2021. "Intangible Capital and Innovation: An Empirical Analysis of Vietnamese Enterprises," Economics Discussion / Working Papers 21-02, The University of Western Australia, Department of Economics.
    11. Anmol Bhandari & Ellen R. McGrattan, 2017. "Sweat Equity in U.S. Private Business," Staff Report 560, Federal Reserve Bank of Minneapolis.
    12. Toma Lankauskiene, 2021. "Labour Productivity Growth Determinants in the Manufacturing Sector in the Baltic States," ConScienS Conference Proceedings 025tl, Research Association for Interdisciplinary Studies.
    13. Ryan A. Decker & Pablo N. D'Erasmo & Hernan Moscoso Boedo, 2016. "Market Exposure and Endogenous Firm Volatility over the Business Cycle," American Economic Journal: Macroeconomics, American Economic Association, vol. 8(1), pages 148-198, January.
    14. Joel M. David & François Gourio, 2023. "The Rise of Intangible Investment and the Transmission of Monetary Policy," Chicago Fed Letter, Federal Reserve Bank of Chicago, vol. 0, pages 1-8, August.
    15. Chih-Yang Tseng, 2020. "Family firms and long-term orientation of SG&A expenditures," Review of Quantitative Finance and Accounting, Springer, vol. 55(4), pages 1181-1206, November.
    16. Carol Corrado & Mary O'Mahony & Lea Samek, 2020. "Measuring education services using lifetime incomes," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-02, Economic Statistics Centre of Excellence (ESCoE).
    17. Carol Corrado & Jonathan Haskel & Cecilia Jona-Lasinio & Massimiliano Iommi, 2012. "Intangible Capital and Growth in Advanced Economies: Measurement Methods and Comparative Results," Economics Program Working Papers 12-03, The Conference Board, Economics Program.
    18. Felix Roth & Anna-Elisabeth Thum, 2022. "Intangible Capital and Labor Productivity Growth: Panel Evidence for the EU from 1998–2005," Contributions to Economics, in: Intangible Capital and Growth, chapter 0, pages 101-128, Springer.
    19. De, Supriyo, 2014. "Intangible capital and growth in the ‘new economy’: Implications of a multi-sector endogenous growth model," Structural Change and Economic Dynamics, Elsevier, vol. 28(C), pages 25-42.
    20. Sebastien Bradley & Estelle Dauchy & Makoto Hasegawa, 2018. "Investor valuations of Japan’s adoption of a territorial tax regime: quantifying the direct and competitive effects of international tax reform," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 25(3), pages 581-630, June.
    21. Nicholas Bloom & Raffaella Sadun & John Van Reenen, 2012. "Americans Do IT Better: US Multinationals and the Productivity Miracle," American Economic Review, American Economic Association, vol. 102(1), pages 167-201, February.

    More about this item

    Keywords

    Intangible capital; New economy; National accounts.;
    All these keywords.

    JEL classification:

    • Y3 - Miscellaneous Categories - - Book Reviews
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    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:sls:ipmsls:v:15:y:2007:5. 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: CSLS (email available below). General contact details of provider: https://edirc.repec.org/data/cslssca.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.