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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 (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:
- Ricardo F. Crespo, 2023, "Big Data, Algorithms, AI, Ethics, and the Economy: An Aristotelian Perspective," Working Papers, Red Nacional de Investigadores en Economía (RedNIE), number 232, Apr.
- Kasy, Maximilian, 2023, "The political economy of AI: Towards democratic control of the means of prediction," INET Oxford Working Papers, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, number 2023-06, Apr.
- Zhimeng Yang & Ariah Klages-Mundt & Lewis Gudgeon, 2023, "Oracle Counterpoint: Relationships between On-chain and Off-chain Market Data," Papers, arXiv.org, number 2303.16331, Mar, revised Jul 2023.
- Melissa Newham & Marica Valente, 2023, "The Cost of Influence:How Gifts to Physicians Shape Prescriptions and Drug Costs," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2023-03, Mar.
- 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, number hal-04064185, Mar, DOI: 10.1016/j.jhe.2022.101906.
- Nikolas Michael & Mihai Cucuringu & Sam Howison, 2023, "OFTER: An Online Pipeline for Time Series Forecasting," Papers, arXiv.org, number 2304.03877, Apr.
- Jeremi Assael & Thibaut Heurtebize & Laurent Carlier & François Soupé, 2023, "Greenhouse gas emissions: estimating corporate non-reported emissions using interpretable machine learning," Post-Print, HAL, number hal-03905325, Feb, DOI: 10.3390/su15043391.
- 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, number hal-03791538, Mar, DOI: 10.3390/jrfm16030159.
- Alexander Ugarov, 2023, "Peer Prediction for Peer Review: Designing a Marketplace for Ideas," Papers, arXiv.org, number 2303.16855, Mar.
- Alistair Macaulay & Wenting Song, 2023, "Narrative-Driven Fluctuations in Sentiment: Evidence Linking Traditional and Social Media," Staff Working Papers, Bank of Canada, number 23-23, Apr, DOI: 10.34989/swp-2023-23.
- Gillian K. Hadfield & Jack Clark, 2023, "Regulatory Markets: The Future of AI Governance," Papers, arXiv.org, number 2304.04914, Apr, revised Feb 2026.
- Finn Lattimore & Daniel M. Steinberg & Anna Zhu, 2023, "The Economic Effect of Gaining a New Qualification Later in Life," Papers, arXiv.org, number 2304.01490, Apr, revised Apr 2023.
- Hou, Kewei & Qiao, Fang & Zhang, Xiaoyan, 2023, "Finding Anomalies in China," Working Paper Series, Ohio State University, Charles A. Dice Center for Research in Financial Economics, number 2023-02, Jan.
- {L}ukasz Lepak & Pawe{l} Wawrzy'nski, 2023, "On-line reinforcement learning for optimization of real-life energy trading strategy," Papers, arXiv.org, number 2303.16266, Mar, revised Feb 2024.
- Dirk Bergemann & Alessandro Bonatti, 2023, "Data, Competition, and Digital Platforms," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University, number 2343R, Apr.
- Weiguang Han & Jimin Huang & Qianqian Xie & Boyi Zhang & Yanzhao Lai & Min Peng, 2023, "Mastering Pair Trading with Risk-Aware Recurrent Reinforcement Learning," Papers, arXiv.org, number 2304.00364, Apr.