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 (Tom Coupe) 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:

• Rodríguez-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, C.E.P.R. Discussion Papers, number 12949, May.
• Laura Alessandretti & Abeer ElBahrawy & Luca Maria Aiello & Andrea Baronchelli, 2018, "Anticipating cryptocurrency prices using machine learning," Papers, arXiv.org, number 1805.08550, May, revised Nov 2018.
• Bussolo, Maurizio & Commander, Simon & Poupakis, Stavros, 2018, "Political Connections and Firms: Network Dimensions," IZA Discussion Papers, IZA Network @ LISER, number 11498, Apr.
• Maksym Obrizan & Karine Torosyan & Norberto Pignatti, 2018, "Tobacco spending in Georgia: Machine learning approach," Working Papers, Research Consulting and Development, number 3184, May.
• Prüfer, Jens & Prüfer, Patricia, 2018, "Data Science for Institutional and Organizational Economics," Discussion Paper, Tilburg University, Center for Economic Research, number 2018-016.
• Billington, Stephen D. & Hanna, Alan J., 2018, "That's classified! Inventing a new patent taxonomy," QUCEH Working Paper Series, Queen's University Belfast, Queen's University Centre for Economic History, number 2018-06.
• Florian Ziel & Rafal Weron, 2018, "Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks," Papers, arXiv.org, number 1805.06649, May.
• 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, Monash University, Department of Econometrics and Business Statistics, number 10/18.
• Arthur Charpentier & Emmanuel Flachaire & Antoine Ly, 2018, "Économétrie & Machine Learning," Working Papers, HAL, number hal-01568851, May.

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 (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: