Report NEP-BIG-2022-03-14

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:

• Adel Daoud & Felipe Jordan & Makkunda Sharma & Fredrik Johansson & Devdatt Dubhashi & Sourabh Paul & Subhashis Banerjee, 2021. "Measuring poverty in India with machine learning and remote sensing," Papers 2202.00109, arXiv.org, revised Oct 2022.
• Ogulcan E. Orsel & Sasha S. Yamada, 2022. "Comparative Study of Machine Learning Models for Stock Price Prediction," Papers 2202.03156, arXiv.org.
• Caio Almeida & Jianqing Fan & Francesca Tang, 2021. "Can a Machine Correct Option Pricing Models?," Working Papers 2021-44, Princeton University. Economics Department..
• Isaac K. Ofori & Christopher Quaidoo & Pamela E. Ofori, 2021. "What Drives Financial Sector Development in Africa? Insights from Machine Learning," Research Africa Network Working Papers 21/074, Research Africa Network (RAN).
• Jia Wang & Hongwei Zhu & Jiancheng Shen & Yu Cao & Benyuan Liu, 2022. "Dual-CLVSA: a Novel Deep Learning Approach to Predict Financial Markets with Sentiment Measurements," Papers 2202.03158, arXiv.org.
• Augustine Denteh & Helge Liebert, 2022. "Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment," Working Papers 2201, Tulane University, Department of Economics.
• O'Shaughnessy, Matthew & Schiff, Daniel & Varshney, Lav R. & Rozell, Christopher & Davenport, Mark, 2021. "What governs attitudes toward artificial intelligence adoption and governance?," OSF Preprints pkeb8, Center for Open Science.
• Drydakis, Nick, 2022. "Artificial Intelligence and Reduced SMEs' Business Risks. A Dynamic Capabilities Analysis during the COVID-19 Pandemic," IZA Discussion Papers 15065, Institute of Labor Economics (IZA).
• Stefan Pasch & Daniel Ehnes, 2022. "StonkBERT: Can Language Models Predict Medium-Run Stock Price Movements?," Papers 2202.02268, arXiv.org.
• Gries, Thomas & Naudé, Wim, 2022. "Breakthroughs, Backlashes and Artificial General Intelligence: An Extended Real Options Approach," IZA Discussion Papers 15077, Institute of Labor Economics (IZA).
• Marius Hofert & Avinash Prasad & Mu Zhu, 2022. "Dependence model assessment and selection with DecoupleNets," Papers 2202.03406, arXiv.org, revised Oct 2022.
• Karen Croxson & Jon Frost & Leonardo Gambacorta & Tommaso Valletti, 2021. "Platform-based business models and financial inclusion," BIS Working Papers 986, Bank for International Settlements.
• Shi Bo & Minheng Xiao, 2022. "Time-Series K-means in Causal Inference and Mechanism Clustering for Financial Data," Papers 2202.03146, arXiv.org, revised Aug 2024.
• German Puga & Kym Anderson & Firmin Doko Tchatoka, 2021. "The impact of growing season temperature on grape prices in Australia," Wine Economics Research Centre Working Papers 2021-07, University of Adelaide, Wine Economics Research Centre.
• David Castells-Quintana & Elisa Dienesch & Melanie Krause, 2021. "Air pollution in an urban world: A global view on density, cities and emissions," Post-Print hal-03361637, HAL.