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Studies on the Value of Data

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  • Rachel Soloveichik

Abstract

The U.S. Bureau of Economic Analysis has undertaken a series of studies that present methods for quantifying the value of simple data that can be differentiated from the complex data created by highly skilled workers that was studied in Calderón and Rassier 2022. Preliminary studies in this series focus on tax data, individual credit data, and driving data. Additional examples include medical records, educational transcripts, business financial records, customer data, equipment maintenance histories, social media profiles, tourist maps, and many more. If new case studies under this topic are released, they will be added to the listing below.

Suggested Citation

  • Rachel Soloveichik, 2024. "Studies on the Value of Data," BEA Papers 0124, Bureau of Economic Analysis.
    • Handle: RePEc:bea:papers:0124
    as

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    File URL: https://www.bea.gov/system/files/2024-04/BEA-WP2024-1a.pdf
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    References listed on IDEAS

    as
    1. Stephen D. Oliner & Daniel E. Sichel, 2000. "The Resurgence of Growth in the Late 1990s: Is Information Technology the Story?," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 3-22, Fall.
    2. Rachel Soloveichik, 2024. "Private Funding of “Free” Data: A Theoretical Framework," BEA Papers 0125, Bureau of Economic Analysis.
    3. Rachel Soloveichik, 2023. "Capitalizing Data: Case Studies of Tax Forms and Individual Credit Reports," BEA Papers 0116, Bureau of Economic Analysis.
    4. Martin Spindler & Joachim Winter & Steffen Hagmayer, 2014. "Asymmetric Information in the Market for Automobile Insurance: Evidence From Germany," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 81(4), pages 781-801, December.
    5. Mark Aguiar & Erik Hurst, 2007. "Measuring Trends in Leisure: The Allocation of Time Over Five Decades," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 969-1006.
    6. Stephen (Teng) Sun & Constantine Yannelis, 2016. "Quantifying The Premium Externality Of The Uninsured," Journal of the European Economic Association, European Economic Association, vol. 14(2), pages 405-437, April.
    7. Vives, Xavier, 1984. "Duopoly information equilibrium: Cournot and bertrand," Journal of Economic Theory, Elsevier, vol. 34(1), pages 71-94, October.
    8. Pierre-Andre Chiappori & Bernard Salanie, 2000. "Testing for Asymmetric Information in Insurance Markets," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 56-78, February.
    9. Basker, Emek, 2011. "The Causes and Consequences of Wal-Mart’s Growth," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 110-134.
    10. Alma Cohen, 2005. "Asymmetric Information and Learning: Evidence from the Automobile Insurance Market," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 197-207, May.
    11. Amuedo-Dorantes, Catalina & Arenas-Arroyo, Esther & Sevilla, Almudena, 2020. "Labor market impacts of states issuing of driver's licenses to undocumented immigrants," Labour Economics, Elsevier, vol. 63(C).
    12. Cho, Heepyung, 2022. "Driver’s license reforms and job accessibility among undocumented immigrants," Labour Economics, Elsevier, vol. 76(C).
    13. Crocker, Keith J & Tennyson, Sharon, 2002. "Insurance Fraud and Optimal Claims Settlement Strategies," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 469-507, October.
    14. Diane Coyle, 2015. "GDP: A Brief but Affectionate History (Revised and Expanded Edition)," Economics Books, Princeton University Press, edition 2, number 10598.
    15. Corby Garner & Justin Harper & Matt Russell & Jon Samuels, 2020. "Integrated Industry-Level Production Account for the United States and the Sources of U.S. Economic Growth Between 1987 and 2018," Survey of Current Business, Bureau of Economic Analysis, April.
    16. Friedman, L.S. & Hedeker, D. & Richter, E.D., 2009. "Long-term effects of repealing the national maximum speed limit in the United States," American Journal of Public Health, American Public Health Association, vol. 99(9), pages 1626-1631.
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    More about this item

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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