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Report NEP-BIG-2018-06-18
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.Subscribe to this report: email, RSS, or Mastodon.
Other reports in NEP-BIG
The following items were announced in this report:
- RodrÃguez-Pose, Andrés & Obschonka, Martin & Lee, Neil & Eichstaedt , Johannes & Ebert, Tobias, 2018. "Big Data, artificial intelligence and the geography of entrepreneurship in the United States," CEPR Discussion Papers 12949, C.E.P.R. Discussion Papers.
- Laura Alessandretti & Abeer ElBahrawy & Luca Maria Aiello & Andrea Baronchelli, 2018. "Anticipating cryptocurrency prices using machine learning," Papers 1805.08550, arXiv.org, revised Nov 2018.
- Bussolo, Maurizio & Commander, Simon & Poupakis, Stavros, 2018. "Political Connections and Firms: Network Dimensions," IZA Discussion Papers 11498, Institute of Labor Economics (IZA).
- Maksym Obrizan & Karine Torosyan & Norberto Pignatti, 2018. "Tobacco spending in Georgia: Machine learning approach," Working Papers 3184, Research Consulting and Development.
- Prüfer, Jens & Prüfer, Patricia, 2018. "Data Science for Institutional and Organizational Economics," Discussion Paper 2018-016, Tilburg University, Center for Economic Research.
- Billington, Stephen D. & Hanna, Alan J., 2018. "That's classified! Inventing a new patent taxonomy," QUCEH Working Paper Series 2018-06, Queen's University Belfast, Queen's University Centre for Economic History.
- Florian Ziel & Rafal Weron, 2018. "Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks," Papers 1805.06649, arXiv.org.
- Tom Auld & Oliver Linton, 2018. "The behaviour of betting and currency markets on the night of the EU referendum," Monash Econometrics and Business Statistics Working Papers 10/18, Monash University, Department of Econometrics and Business Statistics.
- Arthur Charpentier & Emmanuel Flachaire & Antoine Ly, 2018. "Économétrie & Machine Learning," Working Papers hal-01568851, HAL.