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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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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. Oulton, Nicholas, 2004. "A statistical framework for the analysis of productivity and sustainable development," LSE Research Online Documents on Economics 19963, London School of Economics and Political Science, LSE Library.
    4. 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.
    5. repec:nbr:nberch:14271 is not listed on IDEAS
    6. 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.
    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. 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.
    9. Rouchy, Philippe, 2011. "Swedish embedded software and vertically integrated industries: an appraisal," MPRA Paper 50504, University Library of Munich, Germany.
    10. Rachel Soloveichik, 2010. "Artistic Originals as a Capital Asset," American Economic Review, American Economic Association, vol. 100(2), pages 110-114, May.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. repec:lic:licosd:11302 is not listed on IDEAS
    18. Korkmaz, Gizem & Santiago Calderón, J. Bayoán & Kramer, Brandon L. & Guci, Ledia & Robbins, Carol A., 2024. "From GitHub to GDP: A framework for measuring open source software innovation," Research Policy, Elsevier, vol. 53(3).
    19. 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.
    20. 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.

    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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