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Report NEP-BIG-2018-05-21
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:
- Ulrich Fritsche & Johannes Puckelwald, 2018, "Deciphering Professional Forecasters’ Stories - Analyzing a Corpus of Textual Predictions for the German Economy," Macroeconomics and Finance Series, University of Hamburg, Department of Socioeconomics, number 201804, May.
- Michel André Maréchal & Alain Cohn & Tobias Gesche, 2018, "Honesty in the Digital Age," CESifo Working Paper Series, CESifo, number 6996.
- Item repec:tsa:wpaper:0157acc is not listed on IDEAS anymore
- Tianyu Ray Li & Anup S. Chamrajnagar & Xander R. Fong & Nicholas R. Rizik & Feng Fu, 2018, "Sentiment-Based Prediction of Alternative Cryptocurrency Price Fluctuations Using Gradient Boosting Tree Model," Papers, arXiv.org, number 1805.00558, May.
- Item repec:tsa:wpaper:o156mss is not listed on IDEAS anymore
- Juliane Begenau & Maryam Farboodi & Laura Veldkamp, 2018, "Big Data in Finance and the Growth of Large Firms," NBER Working Papers, National Bureau of Economic Research, Inc, number 24550, Apr.
- Auke Rijpma & Jeanne Cilliers & Johan Fourie, 2018, "Record linkage in the Cape of Good Hope Panel," Working Papers, Stellenbosch University, Department of Economics, number 06/2018.
- Sommervoll, Dag Einar & Sommervoll, Åvald, 2018, "Learning from man or machine: Spatial aggregation and house price prediction," CLTS Working Papers, Norwegian University of Life Sciences, Centre for Land Tenure Studies, number 4/18, Apr, revised 16 Oct 2019.
- Ajay Agrawal & John McHale & Alex Oettl, 2018, "Finding Needles in Haystacks: Artificial Intelligence and Recombinant Growth," NBER Working Papers, National Bureau of Economic Research, Inc, number 24541, Apr.