Report NEP-BIG-2022-05-16

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:

• Elliott Ash & Ruben Durante & Maria Grebenshchikova & Carlo Schwarz, 2022. "Visual Representation and Stereotypes in News Media," CESifo Working Paper Series 9686, CESifo.
• Duygu Ider & Stefan Lessmann, 2022. "Forecasting Cryptocurrency Returns from Sentiment Signals: An Analysis of BERT Classifiers and Weak Supervision," Papers 2204.05781, arXiv.org, revised Mar 2023.
• Sabyasachi Kar & Amaani Bashir & Mayank Jain, 2021. "New Approaches to Forecasting Growth and Inflation: Big Data and Machine Learning," IEG Working Papers 446, Institute of Economic Growth.
• Andrea Borsato & Andre Lorentz, 2022. "Data Production and the coevolving AI trajectories: An attempted evolutionary model," Working Papers of BETA 2022-09, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
• Tao Chen & Mike Ludkovski & Moritz Vo{ss}, 2022. "On Parametric Optimal Execution and Machine Learning Surrogates," Papers 2204.08581, arXiv.org, revised Oct 2023.
• Jean-Philippe Deranty & Thomas Corbin, 2022. "Artificial Intelligence and work: a critical review of recent research from the social sciences," Papers 2204.00419, arXiv.org.
• Kunaschk, Max & Lang, Julia, 2022. "Can Algorithms Reliably Predict Long-Term Unemployment in Times of Crisis? – Evidence from the COVID-19 Pandemic," IAB-Discussion Paper 202208, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
• Augustine Denteh & Helge Liebert, 2022. "Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment," CESifo Working Paper Series 9664, CESifo.
• Sergio Correia & Stephan Luck, 2022. "Digitizing Historical Balance Sheet Data: A Practitioner's Guide," Papers 2204.00052, arXiv.org, revised Jul 2022.
• Souhir Ben Amor & Heni Boubaker & Lotfi Belkacem, 2022. "A Dual Generalized Long Memory Modelling for Forecasting Electricity Spot Price: Neural Network and Wavelet Estimate," Papers 2204.08289, arXiv.org.
• Beyer, Robert C. M. & Narayanan, Abhinav & Thakur, Gogol Mitra, 2022. "Natural Disasters and Economic Dynamics: Evidence from the Kerala Floods," Working Papers 22/383, National Institute of Public Finance and Policy.
• Zexuan Yin & Paolo Barucca, 2022. "Variational Heteroscedastic Volatility Model," Papers 2204.05806, arXiv.org.
• Snezha SK Kazakova & Allison AD Dunne & Daan DB Bijwaard & Julien Gosse & Charles Hoffreumon & Nicolas van Zeebroeck, 2020. "European enterprise survey on the use of technologies based on artificial intelligence," ULB Institutional Repository 2013/341443, ULB -- Universite Libre de Bruxelles.
• Vito Polito & Yunyi Zhang, 2022. "Tackling Large Outliers in Macroeconomic Data with Vector Artificial Neural Network Autoregression," Working Papers 2022004, The University of Sheffield, Department of Economics.