Report NEP-BIG-2017-12-18

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:

• Ferdinand Rauch & Guy Michaels & Dzhamilya Nigmatulina & Tanner Regan & Neeraj Baruah & Amanda Dahlstrand-Rudin, 2017. "Planning Ahead for Better Neighborhoods: Long Run Evidence from Tanzania," Economics Series Working Papers 834, University of Oxford, Department of Economics.
• Proto, Eugenio & Sgroi, Daniel & Nazneen, Mahnaz, 2017. "Happiness and Cooperation," CAGE Online Working Paper Series 347, Competitive Advantage in the Global Economy (CAGE).
• Dario Sansone, 2017. "Beyond Early Warning Indicators: High School Dropout and Machine Learning," Working Papers gueconwpa~17-17-09, Georgetown University, Department of Economics.
• Stelios Michalopoulos & Elias Papaioannou, 2017. "Spatial Patterns of Development: A Meso Approach," Opportunity and Inclusive Growth Institute Working Papers 4, Federal Reserve Bank of Minneapolis.
• Stelios Michalopoulos & Elias Papaioannou, 2017. "Spatial Patterns of Development: A Meso Approach," NBER Working Papers 24088, National Bureau of Economic Research, Inc.
• Kinne, Jan & Resch, Bernd, 2017. "Analysing and predicting micro-location patterns of software firms," ZEW Discussion Papers 17-063, ZEW - Leibniz Centre for European Economic Research.
• Stephen L. France & Yuying Shi, 2017. "Aggregating Google Trends: Multivariate Testing and Analysis," Papers 1712.03152, arXiv.org, revised Mar 2018.
• Dominique Guegan & Bertrand Hassani, 2017. "Regulatory Learning: how to supervise machine learning models? An application to credit scoring," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01592168, HAL.
• Thorsten Simon & Peter Fabsic & Georg J. Mayr & Nikolaus Umlauf & Achim Zeileis, 2017. "Probabilistic forecasting of thunderstorms in the Eastern Alps," Working Papers 2017-25, Faculty of Economics and Statistics, Universität Innsbruck.
• ITO Kazuyori, 2017. "Human Capital/Human Intelligence and Neuromorphic Artificial Intelligence: In pursuit of the relevant intelligence concept (Japanese)," Policy Discussion Papers (Japanese) 17031, Research Institute of Economy, Trade and Industry (RIETI).