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Economics of big data: review of best papers for January 2018

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  • Verstappen, Ksenia

Abstract

Hundreds of new papers on big data are released every month and at times it is difficult to distinguish between them in terms of quality and practical use. The purpose of this monthly review is to highlight the findings in the most relevant papers in Economics of big data to help readers identify the most important new developments in the field. The review for January 2018 includes a study of social networks in truancy, a paper on consumer privacy and data collection and three NBER papers on applications of Artificial Intelligence in Economics.

Suggested Citation

  • Verstappen, Ksenia, 2018. "Economics of big data: review of best papers for January 2018," MPRA Paper 85520, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:85520
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    References listed on IDEAS

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    1. Matt Taddy, 2018. "The Technological Elements of Artificial Intelligence," NBER Working Papers 24301, National Bureau of Economic Research, Inc.
    2. Ginger Zhe Jin, 2018. "Artificial Intelligence and Consumer Privacy," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 439-462, National Bureau of Economic Research, Inc.
    3. Matt Taddy, 2018. "The Technological Elements of Artificial Intelligence," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 61-87, National Bureau of Economic Research, Inc.
    4. Magdalena Bennett & Peter Bergman, 2021. "Better Together? Social Networks in Truancy and the Targeting of Treatment," Journal of Labor Economics, University of Chicago Press, vol. 39(1), pages 1-36.
    5. Avi Goldfarb & Daniel Trefler, 2018. "AI and International Trade," NBER Working Papers 24254, National Bureau of Economic Research, Inc.
    6. Choi, Jay Pil & Jeon, Doh-Shin & Kim, Byung-Cheol, 2019. "Privacy and personal data collection with information externalities," Journal of Public Economics, Elsevier, vol. 173(C), pages 113-124.
    7. Ginger Zhe Jin, 2018. "Artificial Intelligence and Consumer Privacy," NBER Working Papers 24253, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    big data in economics; literature review;

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

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