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 (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:

• 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, University of Oxford, Department of Economics, number 834, Sep.
• Proto, Eugenio & Sgroi, Daniel & Nazneen, Mahnaz, 2017, "Happiness and Cooperation," CAGE Online Working Paper Series, Competitive Advantage in the Global Economy (CAGE), number 347.
• Dario Sansone, 2017, "Beyond Early Warning Indicators: High School Dropout and Machine Learning," Working Papers, Georgetown University, Department of Economics, number gueconwpa~17-17-09, Dec.
• Stelios Michalopoulos & Elias Papaioannou, 2017, "Spatial Patterns of Development: A Meso Approach," Opportunity and Inclusive Growth Institute Working Papers, Federal Reserve Bank of Minneapolis, number 4, Dec, DOI: 10.21034/iwp.4.
• Stelios Michalopoulos & Elias Papaioannou, 2017, "Spatial Patterns of Development: A Meso Approach," NBER Working Papers, National Bureau of Economic Research, Inc, number 24088, Nov.
• Kinne, Jan & Resch, Bernd, 2017, "Analysing and predicting micro-location patterns of software firms," ZEW Discussion Papers, ZEW - Leibniz Centre for European Economic Research, number 17-063.
• Stephen L. France & Yuying Shi, 2017, "Aggregating Google Trends: Multivariate Testing and Analysis," Papers, arXiv.org, number 1712.03152, Dec, 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), HAL, number halshs-01592168, Sep.
• Thorsten Simon & Peter Fabsic & Georg J. Mayr & Nikolaus Umlauf & Achim Zeileis, 2017, "Probabilistic forecasting of thunderstorms in the Eastern Alps," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2017-25, Dec.
• Kazuyori ITO, 2017, "Human Capital/Human Intelligence and Neuromorphic Artificial Intelligence: In pursuit of the relevant intelligence concept (Japanese)," Policy Discussion Papers (Japanese), Research Institute of Economy, Trade and Industry (RIETI), number 17031, Nov.