Report NEP-BIG-2018-06-25

This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé issued this report. It is usually issued weekly.

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Other reports in NEP-BIG

The following items were announced in this report:

• Yue-Gang Song & Yu-Long Zhou & Ren-Jie Han, 2018. "Neural networks for stock price prediction," Papers 1805.11317, arXiv.org.
• Ajay K. Agrawal & Joshua S. Gans & Avi Goldfarb, 2018. "Exploring the Impact of Artificial Intelligence: Prediction versus Judgment," NBER Working Papers 24626, National Bureau of Economic Research, Inc.
• Michael C. Knaus, 2018. "A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student's Skills," Papers 1805.10300, arXiv.org, revised Jan 2019.
• Knaus, Michael C., 2018. "A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student's Skills," IZA Discussion Papers 11547, Institute of Labor Economics (IZA).
• Liberali, G., 2018. "Learning with a purpose: the balancing acts of machine learning and individuals in the digital society," ERIM Inaugural Address Series Research in Management EIA-2018-074-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam..
• Prüfer, Jens & Prüfer, Patricia, 2018. "Data Science for Institutional and Organizational Economics," Discussion Paper 2018-011, Tilburg University, Tilburg Law and Economic Center.
• Lu, Richard & Chatman, Jennifer A. & Goldberg, Amir & Srivastava, Sameer B., 2017. "Lifting the Curtain: Backstage Cognition, Frontstage Behavior, and the Interpersonal Transmission of Culture," Research Papers repec:ecl:stabus:3603, Stanford University, Graduate School of Business.