Report NEP-BIG-2022-12-19

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.

Subscribe to this report: email, RSS, or Mastodon, or Bluesky.

Other reports in NEP-BIG

The following items were announced in this report:

• Purcell, Zoe & Bonnefon, Jean-François, 2022. "Humans Feel Too Special for Machines to Score Their Morals," IAST Working Papers 22-146, Institute for Advanced Study in Toulouse (IAST).
• Shayan Halder, 2022. "FinBERT-LSTM: Deep Learning based stock price prediction using News Sentiment Analysis," Papers 2211.07392, arXiv.org.
• Katarzyna Kopczewska, 2021. "Spatial Machine Learning – New Opportunities for Regional Science," Working Papers 2021-16, Faculty of Economic Sciences, University of Warsaw.
• William Barnett & Kun He & Jingtong He, 2022. "Consumption Loan Augmented Divisia Monetary Index and China Monetary Aggregation," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202217, University of Kansas, Department of Economics.
• Kakuho Furukawa & Ryohei Hisano & Yukio Minoura & Tomoyuki Yagi, 2022. "A Nowcasting Model of Industrial Production using Alternative Data and Machine Learning Approaches," Bank of Japan Working Paper Series 22-E-16, Bank of Japan.
• , editor2021 & Younus, Ahmed Muayad, 2022. "Effects of Artificial Intelligence, Big Data Analytics, and Business Intelligence on Digital Transformation in UAE Telecommunication Firms," OSF Preprints 8usrk, Center for Open Science.
• Petre, Konstantin & Varoutas, Dimitris, 2022. "On the application of Machine Learning in telecommunications forecasting: A comparison," 31st European Regional ITS Conference, Gothenburg 2022: Reining in Digital Platforms? Challenging monopolies, promoting competition and developing regulatory regimes 265665, International Telecommunications Society (ITS).
• Zongwu Cai & Ted Juhl, 2020. "The Distribution Of Rolling Regression Estimators," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202218, University of Kansas, Department of Economics, revised Dec 2022.
• Duo Qin, 2022. "Redirect the Probability Approach in Econometrics Towards PAC Learning," Working Papers 249, Department of Economics, SOAS University of London, UK.
• Utku U. Acikalin & Tolga Caskurlu & Gerard Hoberg & Gordon M. Phillips, 2022. "Intellectual Property Protection Lost and Competition: An Examination Using Machine Learning," NBER Working Papers 30671, National Bureau of Economic Research, Inc.
• Bonacorsi, Laura & Cerasi, Vittoria & Galfrascoli, Paola & Manera, Matteo, 2022. "ESG Factors and Firms’ Credit Risk," FEEM Working Papers 329521, Fondazione Eni Enrico Mattei (FEEM).
• Langenbucher, Katja, 2022. "Consumer credit in the age of AI: Beyond anti-discrimination law," LawFin Working Paper Series 42, Goethe University, Center for Advanced Studies on the Foundations of Law and Finance (LawFin).
• , editor2021 & Younus, Ahmed Muayad, 2022. "The Effect of Artificial Intelligence on Job Performance in China's Small and Medium-Sized Enterprises (SMEs)," OSF Preprints qg8x7, Center for Open Science.
• Dorien Herremans & Kah Wee Low, 2022. "Forecasting Bitcoin volatility spikes from whale transactions and CryptoQuant data using Synthesizer Transformer models," Papers 2211.08281, arXiv.org.
• Bonnefon, Jean-François & Purcell, Zoe, 2022. "Humans Feel Too Special for Machines to Score Their Morals," TSE Working Papers 22-1387, Toulouse School of Economics (TSE).
• Liz Wachs & Colin McMillan & Gale Boyd & Matt Doolin, 2022. "Exploring New Ways to Classify Industries for Energy Analysis and Modeling," Working Papers 22-49, Center for Economic Studies, U.S. Census Bureau.
• Rogelio A. Mancisidor & Kjersti Aas, 2022. "Multimodal Generative Models for Bankruptcy Prediction Using Textual Data," Papers 2211.08405, arXiv.org, revised Feb 2024.
• Matteo Sostero & Songül Tolan, 2022. "Digital skills for all? From computer literacy to AI skills in online job advertisements," JRC Working Papers on Labour, Education and Technology 2022-07, Joint Research Centre.
• Krämer, Jan & Shekhar, Shiva & Hofmann, Janina, 2022. "Regulating Algorithmic Learning in Digital Platform Ecosystems through Data Sharing and Data Siloing: Consequences for Innovation and Welfare," 31st European Regional ITS Conference, Gothenburg 2022: Reining in Digital Platforms? Challenging monopolies, promoting competition and developing regulatory regimes 265645, International Telecommunications Society (ITS).
• Wesley Mendes-da-Silva & Israel José dos Santos Felipe & Cristiana Cerqueira Leal & Marcelo Otone Aguiar, 2022. "Tone of Mass Media News Affect Pledge Amounts in Reward Crowdfunding Campaign," NIPE Working Papers 2/2022, NIPE - Universidade do Minho.
• Song Li & Jiandong Zhou & Chong MO & Jin LI & Geoffrey K. F. Tso & Yuxing Tian, 2022. "Motif-aware temporal GCN for fraud detection in signed cryptocurrency trust networks," Papers 2211.13123, arXiv.org, revised Mar 2023.
• Leonardo Perotti & Lech A. Grzelak, 2022. "On Pricing of Discrete Asian and Lookback Options under the Heston Model," Papers 2211.03638, arXiv.org, revised Feb 2024.
• Michael P. Leung & Pantelis Loupos, 2022. "Graph Neural Networks for Causal Inference Under Network Confounding," Papers 2211.07823, arXiv.org, revised Mar 2024.
• Karymshakov, Kamalbek & Azhgaliyeva, Dina & Mishra, Ranjeeta & Aseinov, Dastan, 2022. "Evaluating COVID-19’s Impact on Firm Performance in the CAREC Region Using Night-Time Light Data: Azerbaijan, Georgia, Kazakhstan, and Mongolia," ADBI Working Papers 1332, Asian Development Bank Institute.
• Niko Hauzenberger & Florian Huber & Karin Klieber & Massimiliano Marcellino, 2022. "Bayesian Neural Networks for Macroeconomic Analysis," Papers 2211.04752, arXiv.org, revised Apr 2024.
• Naudé, Wim, 2022. "The Future Economics of Artificial Intelligence: Mythical Agents, a Singleton and the Dark Forest," IZA Discussion Papers 15713, Institute of Labor Economics (IZA).
• Wei-Chang Yeh & Yu-Hsin Hsieh & Chia-Ling Huang, 2022. "Newly Developed Flexible Grid Trading Model Combined ANN and SSO algorithm," Papers 2211.12839, arXiv.org.
• Zongwu Cai & Pixiong Chen, 2022. "New Online Investor Sentiment and Asset Returns," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202216, University of Kansas, Department of Economics, revised Nov 2022.