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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 (Tom Coupe) issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
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, CESifo, number 9686.
- Duygu Ider & Stefan Lessmann, 2022, "Forecasting Cryptocurrency Returns from Sentiment Signals: An Analysis of BERT Classifiers and Weak Supervision," Papers, arXiv.org, number 2204.05781, Apr, 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, Institute of Economic Growth, number 446, Oct.
- Andrea Borsato & Andre Lorentz, 2022, "Data Production and the coevolving AI trajectories: An attempted evolutionary model," Working Papers of BETA, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg, number 2022-09.
- Tao Chen & Mike Ludkovski & Moritz Vo{ss}, 2022, "On Parametric Optimal Execution and Machine Learning Surrogates," Papers, arXiv.org, number 2204.08581, Apr, revised Oct 2023.
- Jean-Philippe Deranty & Thomas Corbin, 2022, "Artificial Intelligence and work: a critical review of recent research from the social sciences," Papers, arXiv.org, number 2204.00419, Feb.
- 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, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], number 202208, May, DOI: 10.48720/IAB.DP.2208.
- Augustine Denteh & Helge Liebert, 2022, "Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment," CESifo Working Paper Series, CESifo, number 9664.
- Sergio Correia & Stephan Luck, 2022, "Digitizing Historical Balance Sheet Data: A Practitioner's Guide," Papers, arXiv.org, number 2204.00052, Mar, 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, arXiv.org, number 2204.08289, Apr.
- Beyer, Robert C. M. & Narayanan, Abhinav & Thakur, Gogol Mitra, 2022, "Natural Disasters and Economic Dynamics: Evidence from the Kerala Floods," Working Papers, National Institute of Public Finance and Policy, number 22/383, Apr.
- Zexuan Yin & Paolo Barucca, 2022, "Variational Heteroscedastic Volatility Model," Papers, arXiv.org, number 2204.05806, Apr.
- 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, ULB -- Universite Libre de Bruxelles, number 2013/341443, Jul.
- Vito Polito & Yunyi Zhang, 2022, "Tackling Large Outliers in Macroeconomic Data with Vector Artificial Neural Network Autoregression," Working Papers, The University of Sheffield, Department of Economics, number 2022004, Mar.