Report NEP-BIG-2023-05-08

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:

• Ricardo F. Crespo, 2023. "Big Data, Algorithms, AI, Ethics, and the Economy: An Aristotelian Perspective," Working Papers 232, Red Nacional de Investigadores en Economía (RedNIE).
• Kasy, Maximilian, 2023. "The political economy of AI: Towards democratic control of the means of prediction," INET Oxford Working Papers 2023-06, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
• Zhimeng Yang & Ariah Klages-Mundt & Lewis Gudgeon, 2023. "Oracle Counterpoint: Relationships between On-chain and Off-chain Market Data," Papers 2303.16331, arXiv.org, revised Jul 2023.
• Melissa Newham & Marica Valente, 2023. "The Cost of Influence:How Gifts to Physicians Shape Prescriptions and Drug Costs," Working Papers 2023-03, Faculty of Economics and Statistics, Universität Innsbruck.
• Jean-Charles Bricongne & Baptiste Meunier & Sylvain Pouget, 2023. "Web-scraping housing prices in real-time: The Covid-19 crisis in the UK," Post-Print hal-04064185, HAL.
• Nikolas Michael & Mihai Cucuringu & Sam Howison, 2023. "OFTER: An Online Pipeline for Time Series Forecasting," Papers 2304.03877, arXiv.org.
• Jeremi Assael & Thibaut Heurtebize & Laurent Carlier & François Soupé, 2023. "Greenhouse gas emissions: estimating corporate non-reported emissions using interpretable machine learning," Post-Print hal-03905325, HAL.
• Jérémi Assael & Laurent Carlier & Damien Challet, 2023. "Dissecting the explanatory power of ESG features on equity returns by sector, capitalization, and year with interpretable machine learning," Post-Print hal-03791538, HAL.
• Alexander Ugarov, 2023. "Peer Prediction for Peer Review: Designing a Marketplace for Ideas," Papers 2303.16855, arXiv.org.
• Alistair Macaulay & Wenting Song, 2023. "Narrative-Driven Fluctuations in Sentiment: Evidence Linking Traditional and Social Media," Staff Working Papers 23-23, Bank of Canada.
• Gillian K. Hadfield & Jack Clark, 2023. "Regulatory Markets: The Future of AI Governance," Papers 2304.04914, arXiv.org, revised Apr 2023.
• Finn Lattimore & Daniel M. Steinberg & Anna Zhu, 2023. "The Economic Effect of Gaining a New Qualification Later in Life," Papers 2304.01490, arXiv.org, revised Apr 2023.
• Hou, Kewei & Qiao, Fang & Zhang, Xiaoyan, 2023. "Finding Anomalies in China," Working Paper Series 2023-02, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
• {L}ukasz Lepak & Pawe{l} Wawrzy'nski, 2023. "On-line reinforcement learning for optimization of real-life energy trading strategy," Papers 2303.16266, arXiv.org, revised Feb 2024.
• Dirk Bergemann & Alessandro Bonatti, 2023. "Data, Competition, and Digital Platforms," Cowles Foundation Discussion Papers 2343R, Cowles Foundation for Research in Economics, Yale University.
• Weiguang Han & Jimin Huang & Qianqian Xie & Boyi Zhang & Yanzhao Lai & Min Peng, 2023. "Mastering Pair Trading with Risk-Aware Recurrent Reinforcement Learning," Papers 2304.00364, arXiv.org.