Report NEP-BIG-2022-04-25

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.

Other reports in NEP-BIG

The following items were announced in this report:

• Breinlich, Holger & Corradi, Valentina & Rocha, Nadia & Ruta, Michele & Silva, J.M.C. Santos & Zylkin, Tom, 2021. "Machine learning in international trade research - evaluating the impact of trade agreements," LSE Research Online Documents on Economics 114379, London School of Economics and Political Science, LSE Library.
• Mr. Jean-Francois Dauphin & Mr. Kamil Dybczak & Morgan Maneely & Marzie Taheri Sanjani & Mrs. Nujin Suphaphiphat & Yifei Wang & Hanqi Zhang, 2022. "Nowcasting GDP - A Scalable Approach Using DFM, Machine Learning and Novel Data, Applied to European Economies," IMF Working Papers 2022/052, International Monetary Fund.
• Leogrande, Angelo & Magaletti, Nicola & Cosoli, Gabriele & Massaro, Alessandro, 2022. "e-Government in Europe. A Machine Learning Approach," MPRA Paper 112242, University Library of Munich, Germany.
• Byron Botha & Kevin Kotze & Neil Rankin & Rulof P. Burger, 2022. "Big data forecasting of South African inflation," Working Papers 873, Economic Research Southern Africa.
• Leogrande, Angelo & Magaletti, Nicola & Cosoli, Gabriele & Massaro, Alessandro, 2022. "Broadband Price Index in Europe," MPRA Paper 112243, University Library of Munich, Germany.
• Leogrande, Angelo & Magaletti, Nicola & Cosoli, Gabriele & Giardinelli, Vito & Massaro, Alessandro, 2022. "ICT Specialists in Europe," MPRA Paper 112241, University Library of Munich, Germany.
• Leogrande, Angelo & Magaletti, Nicola & Cosoli, Gabriele & Massaro, Alessandro, 2022. "Fixed Broadband Take-Up in Europe," MPRA Paper 112246, University Library of Munich, Germany.
• Karim Amzile & Rajaa Amzile, 2022. "The application of techniques derived from artificial intelligence to the prediction of the solvency of bank customers: case of the application of the cart type decision tree (dt)," Papers 2203.13001, arXiv.org.
• Cigdem Gedikli & Robert Hill & Oleksandr Talavera & Okan Yilmaz, 2022. "The Hidden Cost of Smoking: Rent Premia in the Housing Market," Discussion Papers 22-06, Department of Economics, University of Birmingham.
• Hao Wu & David Levinson, 2022. "The Ensemble Approach to Forecasting: A Review and Synthesis," Working Papers 2021-10, University of Minnesota: Nexus Research Group.
• Hirvonen, Johannes & Stenhammar, Aapo & Tuhkuri, Joonas, 2022. "New Evidence on the Effect of Technology on Employment and Skill Demand," ETLA Working Papers 93, The Research Institute of the Finnish Economy.
• Coraggio, Luca & Pagano, Marco & Scognamiglio, Annalisa & Tåg, Joacim, 2022. "JAQ of All Trades: Job Mismatch, Firm Productivity and Managerial Quality," Working Paper Series 1427, Research Institute of Industrial Economics, revised 11 Dec 2024.
• Santamaria, J., 2022. "‘When a Stranger Shall Sojourn with Thee': The Impact of the Venezuelan Exodus on Colombian Labor Markets," Documentos de trabajo - Alianza EFI 20046, Alianza EFI.
• Josten, Cecily & Lordan, Grace, 2022. "Automation and the changing nature of work," LSE Research Online Documents on Economics 114539, London School of Economics and Political Science, LSE Library.
• Rocco, Salvatore, 2022. "Implementing and managing Algorithmic Decision-Making in the public sector," SocArXiv ex93w, Center for Open Science.
• Abbasi, A & DiTraglia, F & Gazze, L & Pals, B, 2022. "Hidden hazards and Screening Policy: Predicting Undetected Lead Exposure in Illinois Using Machine Learning," CAGE Online Working Paper Series 612, Competitive Advantage in the Global Economy (CAGE).
• Otero Gomez, Daniel & Agudelo, Santiago Cartagena & Patiño, Andres Ospina & Lopez-Rojas, Edgar, 2021. "Anomaly Detection applied to Money Laundering Detecion using Ensemble Learning," OSF Preprints f84ht, Center for Open Science.
• Alireza Jafari & Saman Haratizadeh, 2022. "GCNET: graph-based prediction of stock price movement using graph convolutional network," Papers 2203.11091, arXiv.org, revised Aug 2022.
• Bambino-Contreras, Carlos & Morales-Oñate, Víctor, 2021. "Exposición al default: estimación para un portafolio de tarjeta de crédito [Exposure to default: estimation for a credit card portfolio]," MPRA Paper 112333, University Library of Munich, Germany.
• Massaro, Alessandro & Magaletti, Nicola & Cosoli, Gabriele & Giardinelli, Vito O. M. & Leogrande, Angelo, 2022. "Text Mining Approaches Oriented on Customer Care Efficiency," MPRA Paper 112300, University Library of Munich, Germany.
• Massaro, Alessandro & Magaletti, Nicola & Cosoli, Gabriele & Giardinelli, Vito & Leogrande, Angelo, 2022. "Text Mining Approaches Oriented on Customer Care Efficiency," MPRA Paper 112244, University Library of Munich, Germany.
• Rui Fan & Oleksandr Talavera & Vu Tran, 2022. "Information flows and the law of one price," Discussion Papers 22-05, Department of Economics, University of Birmingham.
• Ruan Pretorius & Terence van Zyl, 2022. "Deep Reinforcement Learning and Convex Mean-Variance Optimisation for Portfolio Management," Papers 2203.11318, arXiv.org.