[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/p/bea/papers/0124.html
   My bibliography  Save this paper

Studies on the Value of Data

Author

Listed:
  • 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

    Download full text from publisher

    File URL: https://www.bea.gov/system/files/2024-04/BEA-WP2024-1a.pdf
    Download Restriction: no
    ---><---

    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yen-Chih Chen & Wen-Yen Hsu & Carol Troy, 2024. "Unpriced and unseen: private information and taxi insurance purchases in Taiwan," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 49(4), pages 831-867, October.
    2. David Rowell & Son Nghiem & Luke B Connelly, 2017. "Two Tests for Ex Ante Moral Hazard in a Market for Automobile Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(4), pages 1103-1126, December.
    3. Feng Gao & Michael R. Powers & Jun Wang, 2017. "Decomposing Asymmetric Information in China's Automobile Insurance Market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(4), pages 1269-1293, December.
    4. Casper H. de Jong, 2021. "Risk classification and the balance of information in insurance; an alternative interpretation of the evidence," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 24(4), pages 445-461, December.
    5. Gan, Li & Huang, Feng & Mayer, Adalbert, 2015. "A simple test for private information in insurance markets with heterogeneous insurance demand," Economics Letters, Elsevier, vol. 136(C), pages 197-200.
    6. Hyojoung Kim & Doyoung Kim & Subin Im & James W. Hardin, 2009. "Evidence of Asymmetric Information in the Automobile Insurance Market: Dichotomous Versus Multinomial Measurement of Insurance Coverage," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(2), pages 343-366, June.
    7. Sjur Didrik Flåm & Elmar G. Wolfstetter, 2015. "Liability Insurance and Choice of Cars: A Large Game Approach," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 17(6), pages 943-963, December.
    8. Jean Pinquet & Georges Dionne & Charles Vanasse & Mathieu Maurice, 2007. "Point-record incentives, asymmetric information and dynamic data," Working Papers hal-00243056, HAL.
    9. Rachel Soloveichik, 2024. "Private Funding of “Free” Data: A Theoretical Framework," BEA Papers 0125, Bureau of Economic Analysis.
    10. Hanming Fang & Michael P. Keane & Dan Silverman, 2008. "Sources of Advantageous Selection: Evidence from the Medigap Insurance Market," Journal of Political Economy, University of Chicago Press, vol. 116(2), pages 303-350, April.
    11. María Del Carmen Melgar & José Antonio Ordaz & Flor María Guerrero, 2006. "Une étude économétrique du nombre d'accidents dans le secteur de l'assurance automobile," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 49(2), pages 169-183.
    12. Georges Dionne & Pierre-Carl Michaud & Maki Dahchour, 2004. "Separating Moral Hazard from Adverse Selection in Automobile Insurance: Longitudinal Evidence from France," Cahiers de recherche 0420, CIRPEE.
    13. Keane, Michael & Stavrunova, Olena, 2016. "Adverse selection, moral hazard and the demand for Medigap insurance," Journal of Econometrics, Elsevier, vol. 190(1), pages 62-78.
    14. Georges Dionne & Casey G. Rothschild, 2011. "Risk Classification in Insurance Contracting," Cahiers de recherche 1137, CIRPEE.
    15. Georges Dionne & Pierre-Carl Michaud & Maki Dahchour, 2013. "Separating Moral Hazard From Adverse Selection And Learning In Automobile Insurance: Longitudinal Evidence From France," Journal of the European Economic Association, European Economic Association, vol. 11(4), pages 897-917, August.
    16. Hanming Fang & Zenan Wu, 2018. "Multidimensional private information, market structure, and insurance markets," RAND Journal of Economics, RAND Corporation, vol. 49(3), pages 751-787, September.
    17. Karadja, Mounir & Sundberg, Anton, 2023. "The labor market impact of a taxi driver’s license," Working Paper Series 2023:6, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    18. Dardanoni, V & Li Donni, P, 2008. "Testing For Asymmetric Information In Insurance Markets With Unobservable Types," Health, Econometrics and Data Group (HEDG) Working Papers 08/26, HEDG, c/o Department of Economics, University of York.
    19. Alois Geyer & Daniela Kremslehner & Alexander Muermann, 2020. "Asymmetric Information in Automobile Insurance: Evidence From Driving Behavior," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(4), pages 969-995, December.
    20. Sebastian Soika, 2018. "Moral Hazard and Advantageous Selection in Private Disability Insurance," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(1), pages 97-125, January.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bea:papers:0124. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Andrea Batch (email available below). General contact details of provider: https://edirc.repec.org/data/beagvus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.