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Valuing the US Data Economy Using Machine Learning and Online Job Postings

In: Technology, Productivity, and Economic Growth

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  • José Bayoán Santiago Calderón
  • Dylan G. Rassier

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Suggested Citation

  • José Bayoán Santiago Calderón & Dylan G. Rassier, 2023. "Valuing the US Data Economy Using Machine Learning and Online Job Postings," NBER Chapters, in: Technology, Productivity, and Economic Growth, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:14739
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    References listed on IDEAS

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    1. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    2. Max Boisot & Agustí Canals, 2004. "Data, information and knowledge: have we got it right?," Journal of Evolutionary Economics, Springer, vol. 14(1), pages 43-67, January.
    3. Alessandro Acquisti & Curtis Taylor & Liad Wagman, 2016. "The Economics of Privacy," Journal of Economic Literature, American Economic Association, vol. 54(2), pages 442-492, June.
    4. Wendy C.Y. Li & Makoto Nirei & Kazufumi Yamana, 2018. "Value of Data: There’s No Such Thing as a Free Lunch in the Digital Economy," BEA Working Papers 0164, Bureau of Economic Analysis.
    5. Fernando Galindo-Rueda & Fabien Verger, 2016. "OECD Taxonomy of Economic Activities Based on R&D Intensity," OECD Science, Technology and Industry Working Papers 2016/4, OECD Publishing.
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    More about this item

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • 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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