Report NEP-BIG-2022-01-31

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:

• Ricketts, Simon, 2021. "Do Political Actors Engage in Strategic Deception on Social Media?," Warwick-Monash Economics Student Papers 16, Warwick Monash Economics Student Papers.
• Erik Brynjolfsson, 2022. "The Turing Trap: The Promise & Peril of Human-Like Artificial Intelligence," Papers 2201.04200, arXiv.org.
• Katsafados, Apostolos & Anastasiou, Dimitris, 2022. "Short-term Prediction of Bank Deposit Flows: Do Textual Features matter?," MPRA Paper 111418, University Library of Munich, Germany.
• Maria Mercanti-Guérin, 2021. "From Perceived Creativity To Status Quo Bias The Case Of Digital Twins In The Home," Post-Print hal-03450262, HAL.
• van der Hagen, L. & Agatz, N.A.H. & Spliet, R. & Visser, T.R. & Kok, A.L., 2022. "Machine Learning-Based Feasibility Checks for Dynamic Time Slot Management," ERIM Report Series Research in Management ERS-2022-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
• FERNANDEZ LLORCA David & GOMEZ Emilia, 2021. "Trustworthy Autonomous Vehicles," JRC Research Reports JRC127051, Joint Research Centre.
• Suppawong Tuarob & Thanapon Noraset & Tanisa Tawichsri, 2022. "Using Large-Scale Social Media Data for Population-Level Mental Health Monitoring and Public Sentiment Assessment: A Case Study of Thailand," PIER Discussion Papers 169, Puey Ungphakorn Institute for Economic Research.
• David Anderson & Urban Ulrych, 2022. "Accelerated American Option Pricing with Deep Neural Networks," Swiss Finance Institute Research Paper Series 22-03, Swiss Finance Institute.
• Jean-David Fermanian & Dominique Guegan, 2021. "Fair learning with bagging," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03500906, HAL.
• Justin Dang & Aman Ullah, 2021. "Machine Learning Based Semiparametric Time Series Conditional Variance: Estimation and Forecasting," Working Papers 202204, University of California at Riverside, Department of Economics, revised Jan 2022.
• Sarracino, Francesco & Greyling, Talita & O'Connor, Kelsey J. & Peroni, Chiara & Rossouw, Stephanié, 2021. "A Year of Pandemic: Levels, Changes and Validity of Well-Being Data from Twitter. Evidence from Ten Countries," IZA Discussion Papers 14903, Institute of Labor Economics (IZA).
• Garg, Karan, 2021. "Machines and Markets : Assessing the Impact of Algorithmic Trading on Financial Market Efficiency," Warwick-Monash Economics Student Papers 11, Warwick Monash Economics Student Papers.
• Julia Anna Bingler & Mathias Kraus & Markus Leippold & Nicolas Webersinke, 2022. "Cheap Talk in Corporate Climate Commitments: The Role of Active Institutional Ownership, Signaling, Materiality, and Sentiment," Swiss Finance Institute Research Paper Series 22-01, Swiss Finance Institute.
• Aldott, Zoltan, 2021. "Predicting Specialty Coffee Auction Prices Using Machine Learning," Warwick-Monash Economics Student Papers 15, Warwick Monash Economics Student Papers.
• Yu, Bo & Tran, Trang & Lee, Wang-Sheng, 2021. "Green Infrastructure and Air Pollution: Evidence from Highways Connecting Two Megacities in China," IZA Discussion Papers 14900, Institute of Labor Economics (IZA).
• Shimon Kogan & Vitaly Meursault, 2021. "Corporate Disclosure: Facts or Opinions?," Working Papers 21-40, Federal Reserve Bank of Philadelphia.
• Songyan Hou & Thomas Krabichler & Marcus Wunsch, 2021. "Deep Partial Hedging," Papers 2112.07335, arXiv.org.
• Vladimir Pyrlik & Pavel Elizarov & Aleksandra Leonova, 2021. "Forecasting Realized Volatility Using Machine Learning and Mixed-Frequency Data (the Case of the Russian Stock Market)," CERGE-EI Working Papers wp713, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
• Carbonero, Francesco & Davies, Jeremy & Ernst, Ekkehard & Fossen, Frank M. & Samaan, Daniel & Sorgner, Alina, 2021. "The Impact of Artificial Intelligence on Labor Markets in Developing Countries: A New Method with an Illustration for Lao PDR and Viet Nam," IZA Discussion Papers 14944, Institute of Labor Economics (IZA).
• Francisco Caio Lima Paiva & Leonardo Kanashiro Felizardo & Reinaldo Augusto da Costa Bianchi & Anna Helena Reali Costa, 2021. "Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning Approach," Papers 2112.02095, arXiv.org.