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

Verstappen, Ksenia (2018): Economics of big data: review of best papers for January 2018.

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.

• Item Type: MPRA Paper
• Language: English
• Keywords: big data in economics, literature review
• Subjects: C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C55 - Large Data Sets: Modeling and Analysis; C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C80 - General

References

Bennett, Magdalena and Bergman, Peter. 2018. "Better Together? Social Networks in Truancy and the Targeting of Treatment." CESifo Working Papers, 6848.

Choiy, Jay Pil, Jeon, Doh-Shin, and Kim, Byung- Cheol. 2018. "Privacy and Personal Data Collection with Information Externalities."Working Papers, 18-887.

Goldfarb, Avi and Trefler, Daniel. 2018. "AI and International Trade." NBER Working Paper Series, 24254.

Jin, Ginger Zhe. 2018. "Artificial Intelligence and Consumer Privacy." NBER Working Paper No. 24253.

Taddy, Matt. 2018. "The Technological Elements of Artificial Intelligence." NBER Working Paper Series, 24301.