Report NEP-BIG-2017-10-29

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.

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Other reports in NEP-BIG

The following items were announced in this report:

• Niebel, Thomas & Rasel, Fabienne & Viete, Steffen, 2017. "BIG Data - BIG Gains? Understanding the Link Between Big Data Analytics and Innovation," 28th European Regional ITS Conference, Passau 2017 169489, International Telecommunications Society (ITS).
• Strobel, Christina & Kirchkamp, Oliver, 2017. "Sharing responsibility with a machine," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168106, Verein für Socialpolitik / German Economic Association.
• Christopher Blattman & Donald Green & Daniel Ortega & Santiago Tobón, 2017. "Place-Based Interventions at Scale: The Direct and Spillover Effects of Policing and City Services on Crime," NBER Working Papers 23941, National Bureau of Economic Research, Inc.
• Donna Feir & Rob Gillezeau & Maggie Jones, 2017. "Illuminating Economic Development in Indigenous Communities," Department Discussion Papers 1704, Department of Economics, University of Victoria.
• Hinz, Julian, 2017. "The view from space: Theory-based time-varying distances in the gravity model," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168270, Verein für Socialpolitik / German Economic Association.
• Kwon, Youngsun & Kwon, Joungwon, 2017. "Telecommunications Policy: An evaluation of 40 years' research history," 28th European Regional ITS Conference, Passau 2017 169475, International Telecommunications Society (ITS).
• Luis E. Arango & Javier Pantoja & Carlos Velásquez, 2017. "Effects of the central bank’s communications in Colombia. A content analysis," Borradores de Economia 1024, Banco de la Republica de Colombia.
• Anastasis Kratsios & Cody B. Hyndman, 2017. "Non-Euclidean Conditional Expectation and Filtering," Papers 1710.05829, arXiv.org, revised Sep 2018.
• Benjamin David, 2017. "Model economic phenomena with CART and Random Forest algorithms," EconomiX Working Papers 2017-46, University of Paris Nanterre, EconomiX.
• Anastasis Kratsios & Cody B. Hyndman, 2017. "Deep Learning in a Generalized HJM-type Framework Through Arbitrage-Free Regularization," Papers 1710.05114, arXiv.org, revised Dec 2019.
• Michael Ludkovski & James Risk, 2017. "Sequential Design and Spatial Modeling for Portfolio Tail Risk Measurement," Papers 1710.05204, arXiv.org, revised May 2018.
• Masaaki Fujii & Akihiko Takahashi & Masayuki Takahashi, 2017. "Asymptotic Expansion as Prior Knowledge in Deep Learning Method for high dimensional BSDEs," CARF F-Series CARF-F-423, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
• Masaaki Fujii & Akihiko Takahashi & Masayuki Takahashi, 2017. "Asymptotic Expansion as Prior Knowledge in Deep Learning Method for high dimensional BSDEs," CIRJE F-Series CIRJE-F-1069, CIRJE, Faculty of Economics, University of Tokyo.