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Measuring the Cost of Open Source Software Innovation on GitHub

Author

Listed:
  • J Bayoán Santiago Calderón
  • Carol Robbins
  • Ledia Guci
  • Gizem Korkmaz
  • Brandon L. Kramer

    (Bureau of Economic Analysis)

Abstract

Open source software (OSS) is software that anyone can study, inspect, modify, and distribute freely under very limited restrictions, generally attribution. While OSS is vital to virtually all aspects of modern society, there is no standard methodology to satisfactorily measure the scope and impact of these intangible assets. Today, GitHub is the world’s largest forge with over 80 million users and 118 million public repositories. This study presents a framework based on GitHub’s administrative data to discover, profle, and measure the development of OSS. The data include over 7.75 million original, nondeprecated repositories with a machine detectable OSI-approved license. For each repository, we collect metadata such as commits, license, and information about contributors. Adopting a cost estimation model from software engineering and national accounting methods for measurement of software, we develop a methodology to generate estimates of investment in OSS that are consistent with measures of software investment in the U.S. national accounts. Our current estimates show that the U.S. investment in OSS in 2019 was $36.2 billion.

Suggested Citation

  • 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.
    • Handle: RePEc:bea:wpaper:0200
    as

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    References listed on IDEAS

    as
    1. Ben R. Martin, 2016. "Twenty challenges for innovation studies," Science and Public Policy, Oxford University Press, vol. 43(3), pages 432-450.
    2. Dahlander, Linus & Magnusson, Mats G., 2005. "Relationships between open source software companies and communities: Observations from Nordic firms," Research Policy, Elsevier, vol. 34(4), pages 481-493, May.
    3. Greenstein, Shane & Nagle, Frank, 2014. "Digital dark matter and the economic contribution of Apache," Research Policy, Elsevier, vol. 43(4), pages 623-631.
    4. Leonard Nakamura & Jon Samuels & Rachel Soloveichik, 2017. "Measuring the Free Digital Economy within the GDP and Productivity Accounts," BEA Working Papers 0146, Bureau of Economic Analysis.
    5. 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.
    6. repec:nas:journl:v:115:y:2018:p:12638-12645 is not listed on IDEAS
    7. 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.
    8. Bockstael, Nancy E & McConnell, Kenneth E, 1983. "Welfare Measurement in the Household Production Framework," American Economic Review, American Economic Association, vol. 73(4), pages 806-814, September.
    9. Alfonso Gambardella & Bronwyn H. Hall, 2010. "Proprietary versus Public Domain Licensing of Software and Research Products," Chapters, in: Riccardo Viale & Henry Etzkowitz (ed.), The Capitalization of Knowledge, chapter 6, Edward Elgar Publishing.
    10. Gault, Fred, 2018. "Defining and measuring innovation in all sectors of the economy," Research Policy, Elsevier, vol. 47(3), pages 617-622.
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    More about this item

    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • H42 - Public Economics - - Publicly Provided Goods - - - Publicly Provided Private Goods
    • L17 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Open Source Products and Markets
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O51 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - U.S.; Canada

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