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Recognition of Business and Government Expenditures for Software as Investment: Methodology and Quantitative Impacts, 1959-98

Author

Listed:
  • Robert P. Parker
  • Bruce T. Grimm

    (Bureau of Economic Analysis)

Abstract

The comprehensive benchmark revision of the national income and product accounts (NIPA’s), released in October of last year, newly recognized business and government expenditures for computer software as investment. This paper describes the methodology for annual and quarterly estimates of software investment, consumption of fixed capital, and business incomes. This description is an expansion of the technical notes describing the methodology that appeared in the August and December issues of the Survey of Current Business. The paper also describes the effects on the NIPA’s and their tabular presentation, of recognizing software.

Suggested Citation

  • Robert P. Parker & Bruce T. Grimm, 2000. "Recognition of Business and Government Expenditures for Software as Investment: Methodology and Quantitative Impacts, 1959-98," BEA Papers 0002, Bureau of Economic Analysis.
    • Handle: RePEc:bea:papers:0002
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    Cited by:

    1. Patrick Vanhoudt, 2003. "Implications of the Changes in the System of National Accounts for Measured Growth and the Business Cycle," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(5), pages 595-604, December.
    2. Erich H. Strassner & David B. Wasshausen, 2017. "BEA Deflators for Information and Communications Technology Goods and Services: Historical Analysis and Future Plans," NBER Chapters, in: Measuring and Accounting for Innovation in the Twenty-First Century, pages 553-572, National Bureau of Economic Research, Inc.
    3. Eric J. Bartelsman & J. Joseph Beaulieu, 2007. "A Consistent Accounting of US Productivity Growth," NBER Chapters, in: Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches, pages 449-482, National Bureau of Economic Research, Inc.
    4. David M. Byrne & John G. Fernald & Marshall B. Reinsdorf, 2016. "Does the United States Have a Productivity Slowdown or a Measurement Problem?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(1 (Spring), pages 109-182.
    5. James Bessen & Robert M. Hunt, 2007. "An Empirical Look at Software Patents," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 16(1), pages 157-189, March.
    6. Nicholas Oulton, 2004. "A Statistical Framework for the Analysis of Productivity and Sustainable Development," CEP Discussion Papers dp0629, Centre for Economic Performance, LSE.
    7. Adam Copeland, 2013. "Seasonality, consumer heterogeneity and price indexes: the case of prepackaged software," Journal of Productivity Analysis, Springer, vol. 39(1), pages 47-59, February.
    8. J Bayoán Santiago Calderón & Carol Robbins & Ledia Guci & Gizem Korkmaz & Brandon L. Kramer, 2022. "Measuring the Cost of Open Source Software Innovation on GitHub," BEA Working Papers 0200, Bureau of Economic Analysis.
    9. Gavin Wallis, 2009. "Capital Services Growth in the UK: 1950 to 2006," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(6), pages 799-819, December.
    10. Rachel Soloveichik, 2010. "Artistic Originals as a Capital Asset," American Economic Review, American Economic Association, vol. 100(2), pages 110-114, May.
    11. Dale W. Jorgenson & J. Steven Landefeld, 2006. "Blueprint for Expanded and Integrated US Accounts: Review, Assessment, and Next Steps," NBER Chapters, in: A New Architecture for the US National Accounts, pages 13-112, National Bureau of Economic Research, Inc.
    12. Rudolfs Bems, 2008. "Aggregate Investment Expenditures on Tradable and Nontradable Goods," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(4), pages 852-883, October.
    13. repec:nbr:nberch:14271 is not listed on IDEAS
    14. Erik Brynjolfsson & Lorin M. Hitt, 2000. "Beyond Computation: Information Technology, Organizational Transformation and Business Performance," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 23-48, Fall.
    15. Marc Prud'homme & Dimitri Sanga & Kam Yu, 2005. "A computer software price index using scanner data," Canadian Journal of Economics, Canadian Economics Association, vol. 38(3), pages 999-1017, August.
    16. David Wasshausen & Brent R. Moulton, 2006. "The Role of Hedonic Methods in Measuring Real GDP in the United States," BEA Papers 0067, Bureau of Economic Analysis.
    17. Rouchy, Philippe, 2011. "Swedish embedded software and vertically integrated industries: an appraisal," MPRA Paper 50504, University Library of Munich, Germany.
    18. Michael R. Pakko, 2002. "The high-tech investment boom and economic growth in the 1990s: accounting for quality," Review, Federal Reserve Bank of St. Louis, vol. 84(Mar.), pages 3-18.
    19. Szalavetz, Andrea, 2007. "Műszaki fejlődés és tőkeintenzitás [Technological progress and capital intensity]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 184-198.

    More about this item

    JEL classification:

    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General

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