Report NEP-BIG-2020-02-10

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:

• Sidra Mehtab & Jaydip Sen, 2020. "Stock Price Prediction Using Convolutional Neural Networks on a Multivariate Timeseries," Papers 2001.09769, arXiv.org.
• D. Desbois, 2019. "Tax dredger on social networks: new learning algorithms to track fraud [Drague fiscale sur les réseaux sociaux : de nouveaux algorithmes d’apprentissage pour traquer la fraude]," Post-Print hal-02406386, HAL.
• Wheeler, Andrew Palmer & Steenbeek, Wouter, 2020. "Mapping the risk terrain for crime using machine learning," SocArXiv xc538, Center for Open Science.
• Krüger, Miriam & Kinne, Jan & Lenz, David & Resch, Bernd, 2020. "The digital layer: How innovative firms relate on the web," ZEW Discussion Papers 20-003, ZEW - Leibniz Centre for European Economic Research.
• Patrick Gagliardini & Hao Ma, 2019. "Extracting Statistical Factors When Betas are Time-Varying," Swiss Finance Institute Research Paper Series 19-65, Swiss Finance Institute.
• Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2018. "Economic Predictions with Big Data: The Illusion of Sparsity," Liberty Street Economics 20180521, Federal Reserve Bank of New York.
• Moore, Phoebe V., 2019. "The mirror for (artificial) intelligence: Working in whose reflection?," Discussion Papers, Research Group Globalization, Work, and Production SP III 2019-302, WZB Berlin Social Science Center.
• Chehbi Gamoura Chehbi, 2019. "Approche d'Intelligence Artificielle (AI) (Machine Learning) pour un Système d'Orientation des Consommateurs des Produits Ecolabel (Smart Eco-Adviser) Vers une Consommation Verte et Intelligente," Working Papers hal-02423632, HAL.
• Ian Martin & Stefan Nagel, 2019. "Market Efficiency in the Age of Big Data," CESifo Working Paper Series 8015, CESifo.
• Axenbeck, Janna & Breithaupt, Patrick, 2019. "Web-based innovation indicators: Which firm website characteristics relate to firm-level innovation activity?," ZEW Discussion Papers 19-063, ZEW - Leibniz Centre for European Economic Research.
• Jaqueson K. Galimberti, 2020. "Forecasting GDP growth from outer space," Working Papers 2020-02, Auckland University of Technology, Department of Economics.
• Chehbi Gamoura Chehbi, 2019. "Approche d'Intelligence Artificielle (AI) et Big Data (une des Technologies 4.0) pour des Ecolabels Tagués (Eco-Tagged label) Vers une Consommation Verte et Intelligente," Working Papers hal-02422378, HAL.
• Jörg Claussen & Christian Peukert & Ananya Sen, 2019. "The Editor vs. the Algorithm: Returns to Data and Externalities in Online News," CESifo Working Paper Series 8012, CESifo.
• Tine Van Calster & Filip Van den Bossche & Bart Baesens & Wilfried Lemahieu, 2020. "Profit-oriented sales forecasting: a comparison of forecasting techniques from a business perspective," Papers 2002.00949, arXiv.org.
• Jeffrey Clemens & Parker Rogers, 2020. "Demand Shocks, Procurement Policies, and the Nature of Medical Innovation: Evidence from Wartime Prosthetic Device Patents," NBER Working Papers 26679, National Bureau of Economic Research, Inc.
• Susan C. Athey & Kevin A. Bryan & Joshua S. Gans, 2020. "The Allocation of Decision Authority to Human and Artificial Intelligence," NBER Working Papers 26673, National Bureau of Economic Research, Inc.
• Yufang Wang & Haiyan Wang, 2020. "Using Networks and Partial Differential Equations to Predict Bitcoin Price," Papers 2001.03099, arXiv.org.
• Boeing, Geoff, 2020. "Urban Street Network Analysis in a Computational Notebook," SocArXiv dxtq3, Center for Open Science.
• PREZIOSI Nadir & FAKO Peter & HRISTOV Hristo & JONKERS Koen & GOENAGA BELDARRAIN Xabier & ALVES DIAS Patricia & AMOROSO Sara & ANNONI Alessandro & ASENSIO BERMEJO Jose Miguel & BELLIA Mario & BLAGOEVA, 2019. "China: Challenges and Prospects from an Industrial and Innovation Powerhouse," JRC Research Reports JRC116516, Joint Research Centre.
• Elie Bouri & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020. "Forecasting Realized Volatility of Bitcoin: The Role of the Trade War," Working Papers 202003, University of Pretoria, Department of Economics.
• Yafei Han & Francisco Camara Pereira & Moshe Ben-Akiva & Christopher Zegras, 2020. "A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability," Papers 2002.00922, arXiv.org, revised Jul 2022.
• Griffin, Greg Phillip & Mulhall, Megan & Simek, Chris & Riggs, William W., 2020. "Mitigating Bias in Big Data for Transportation," SocArXiv trbv9, Center for Open Science.
• Zhengkun Li & Minh-Ngoc Tran & Chao Wang & Richard Gerlach & Junbin Gao, 2020. "A Bayesian Long Short-Term Memory Model for Value at Risk and Expected Shortfall Joint Forecasting," Papers 2001.08374, arXiv.org, revised May 2021.
• Christoph Engel & Rima Maria Rahal, 2020. "What the Judge Argues is Not What the Judge Thinks - Eye Tracking Evidence about the Normative Weight of Conflicting Concerns in a Torts Case," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2020_03, Max Planck Institute for Research on Collective Goods, revised 01 Mar 2021.
• Hans Buehler & Lukas Gonon & Josef Teichmann & Ben Wood & Baranidharan Mohan & Jonathan Kochems, 2019. "Deep Hedging: Hedging Derivatives Under Generic Market Frictions Using Reinforcement Learning," Swiss Finance Institute Research Paper Series 19-80, Swiss Finance Institute.
• Timo Klein, 2020. "Event Studies in Merger Analysis: Review and an Application Using U.S. TNIC Data," Tinbergen Institute Discussion Papers 20-005/VII, Tinbergen Institute, revised 31 Mar 2020.
• Leland Bybee & Bryan T. Kelly & Asaf Manela & Dacheng Xiu, 2020. "The Structure of Economic News," NBER Working Papers 26648, National Bureau of Economic Research, Inc.