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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 (Tom Coupe) issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
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, arXiv.org, number 1805.11317, May.
- Ajay K. Agrawal & Joshua S. Gans & Avi Goldfarb, 2018, "Exploring the Impact of Artificial Intelligence: Prediction versus Judgment," NBER Working Papers, National Bureau of Economic Research, Inc, number 24626, May.
- Michael C. Knaus, 2018, "A Double Machine Learning Approach to Estimate the Effects of Musical Practice on Student's Skills," Papers, arXiv.org, number 1805.10300, May, 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, IZA Network @ LISER, number 11547, May.
- 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, 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., number EIA-2018-074-MKT, May.
- Prüfer, Jens & Prüfer, Patricia, 2018, "Data Science for Institutional and Organizational Economics," Discussion Paper, Tilburg University, Tilburg Law and Economic Center, number 2018-011.
- 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, Stanford University, Graduate School of Business, number repec:ecl:stabus:3603, Oct.