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Big Data

Author

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  • Irving Fisher Committee
Abstract
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Suggested Citation

  • Irving Fisher Committee, 2017. "Big Data," IFC Bulletins, Bank for International Settlements, number 44.
    • Handle: RePEc:bis:bisifb:44
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    References listed on IDEAS

    as
    1. Scott Hendry & Alison Madeley, 2010. "Text Mining and the Information Content of Bank of Canada Communications," Staff Working Papers 10-31, Bank of Canada.
    2. Paul Ormerod & Rickard Nyman & David Tuckett, 2015. "Measuring Financial Sentiment to Predict Financial Instability: A New Approach based on Text Analysis," Papers 1508.05357, arXiv.org.
    3. Carvalho, Carlos Viana de & Cordeiro, Fernando & Vargas, Juliana, 2013. "Just Words? A Quantitative Analysis of the Communication of the Central Bank of Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(4), November.
    4. repec:upd:utppwp:062 is not listed on IDEAS
    5. Kohei Kawamura & Yohei Kobashi & Masato Shizume & Kozo Ueda, 2016. "Strategic central bank communication: discourse and game-theoretic analyses of the Bank of Japan's Monthly Report," CAMA Working Papers 2016-11, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    6. repec:fgv:epgrbe:v:67:n:4:a:3 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Daniel H. Weinberg & John M. Abowd & Robert F. Belli & Noel Cressie & David C. Folch & Scott H. Holan & Margaret C. Levenstein & Kristen M. Olson & Jerome P. Reiter & Matthew D. Shapiro & Jolene Smyth, 2017. "Effects of a Government-Academic Partnership: Has the NSF-Census Bureau Research Network Helped Improve the U.S. Statistical System?," Working Papers 17-59r, Center for Economic Studies, U.S. Census Bureau.
    2. Chih-Hung Hsu & Ming-Ge Li & Ting-Yi Zhang & An-Yuan Chang & Shu-Zhen Shangguan & Wan-Ling Liu, 2022. "Deploying Big Data Enablers to Strengthen Supply Chain Resilience to Mitigate Sustainable Risks Based on Integrated HOQ-MCDM Framework," Mathematics, MDPI, vol. 10(8), pages 1-35, April.
    3. Yaniv Mordecai, 2019. "Model‐based protocol specification," Systems Engineering, John Wiley & Sons, vol. 22(2), pages 188-210, March.
    4. Tractenberg, Rochelle E., 2020. "Concordance of professional ethical practice standards for the domain of Data Science: A white paper," SocArXiv p7rj2, Center for Open Science.
    5. de Streel, Alexandre & Sibony, Anne-Lise, 2017. "Towards Smarter Consumer Protection Rules for Digital Services," 28th European Regional ITS Conference, Passau 2017 169509, International Telecommunications Society (ITS).
    6. Xiangjie Kong & Huizhen Jiang & Wei Wang & Teshome Megersa Bekele & Zhenzhen Xu & Meng Wang, 2017. "Exploring dynamic research interest and academic influence for scientific collaborator recommendation," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 369-385, October.
    7. Harwood, Stephen & Eaves, Sally, 2020. "Conceptualising technology, its development and future: The six genres of technology," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    8. Georgios Georgiadis & Geert Poels, 2021. "Enterprise architecture management as a solution for addressing general data protection regulation requirements in a big data context: a systematic mapping study," Information Systems and e-Business Management, Springer, vol. 19(1), pages 313-362, March.
    9. Claudia Buch, 2019. "Building pathways for policy making with big data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The use of big data analytics and artificial intelligence in central banking, volume 50, Bank for International Settlements.
    10. Arnold, René & Hildebrandt, Christian & Taş, Serpil, 2020. "Europäische Datenökonomie: Zwischen Wettbewerb und Regulierung. Endbericht," Study Series, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH, number 251537.
    11. Rafael J. P. Damaceno & Luciano Rossi & Rogério Mugnaini & Jesús P. Mena-Chalco, 2019. "The Brazilian academic genealogy: evidence of advisor–advisee relationships through quantitative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 303-333, April.
    12. Ms. Longmei Zhang & Ms. Sally Chen, 2019. "China’s Digital Economy: Opportunities and Risks," IMF Working Papers 2019/016, International Monetary Fund.
    13. Smuha, Nathalie A., 2021. "Beyond the individual: Governing AI's societal harm," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 10(3), pages 1-32.

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