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

Ksenia Verstappen

MPRA Paper from University Library of Munich, Germany

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.

Keywords: big data in economics; literature review (search for similar items in EconPapers)
JEL-codes: C55 C80 (search for similar items in EconPapers)
Date: 2018-02
New Economics Papers: this item is included in nep-ict and nep-pay
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