Report NEP-BIG-2024-01-08

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.

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Other reports in NEP-BIG

The following items were announced in this report:

• Tanner Regan & Giorgio Chiovelli & Stelios Michalopoulos & Elias Papaioannou, 2023. "Illuminating Africa?," Working Papers 2023-11, The George Washington University, Institute for International Economic Policy.
• Matteo Gambara & Giulia Livieri & Andrea Pallavicini, 2023. "Machine learning methods for American-style path-dependent contracts," Papers 2311.16762, arXiv.org.
• Vincent Gurgul & Stefan Lessmann & Wolfgang Karl Hardle, 2023. "Deep Learning and NLP in Cryptocurrency Forecasting: Integrating Financial, Blockchain, and Social Media Data," Papers 2311.14759, arXiv.org, revised Oct 2024.
• Philippe Goulet Coulombe & Mikael Frenette & Karin Klieber, 2023. "From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks," Papers 2311.16333, arXiv.org, revised Apr 2024.
• Ruslan Tepelyan & Achintya Gopal, 2023. "Generative Machine Learning for Multivariate Equity Returns," Papers 2311.14735, arXiv.org.
• Robert Stok & Paul Bilokon, 2023. "From Deep Filtering to Deep Econometrics," Papers 2311.06256, arXiv.org.
• Salas Rojo, Pedro & Rodríguez, Juan Gabriel, 2022. "Inheritances and wealth inequality: a machine learning approach," LSE Research Online Documents on Economics 120916, London School of Economics and Political Science, LSE Library.
• Ummara Mumtaz & Summaya Mumtaz, 2023. "Potential of ChatGPT in predicting stock market trends based on Twitter Sentiment Analysis," Papers 2311.06273, arXiv.org.
• kilani, bochra hadj, 2023. "K-Means Clustering algorithms in Urban studies: A Review of Unsupervised Machine Learning techniques," OSF Preprints bs6wy, Center for Open Science.
• Deborah Miori & Constantin Petrov, 2023. "Narratives from GPT-derived Networks of News, and a link to Financial Markets Dislocations," Papers 2311.14419, arXiv.org.
• Chemaya, Nir & Cong, Lin William & Joergensen, Emma & Liu, Dingyue & Zhang, Luyao, 2023. "Uniswap Daily Transaction Indices by Network," OSF Preprints ube2z, Center for Open Science.
• Keegan Harris & Nicole Immorlica & Brendan Lucier & Aleksandrs Slivkins, 2023. "Algorithmic Persuasion Through Simulation," Papers 2311.18138, arXiv.org, revised Jun 2024.
• Omar Al-Ubaydli & Alecia W. Cassidy & Anomitro Chatterjee & Ahmed Khalifa & Michael K. Price, 2023. "The Power to Conserve: A Field Experiment on Electricity Use in Qatar," NBER Working Papers 31931, National Bureau of Economic Research, Inc.
• Ernst Fehr & Thomas Epper & Julien Senn, 2023. "The Fundamental Properties, Stability and Predictive Power of Distributional Preferences," Working Papers 2023-iRisk-07, IESEG School of Management.
• Khezr, Peyman & Pourkhanali, Armin, 2023. "An investigation of auctions in the Regional Greenhouse Gas Initiative," MPRA Paper 119289, University Library of Munich, Germany.
• Jen-Yin Yeh & Hsin-Yu Chiu & Jhih-Huei Huang, 2023. "Predicting Failure of P2P Lending Platforms through Machine Learning: The Case in China," Papers 2311.14577, arXiv.org.
• Florian Englmaier & Andreas Roider & Lars Schlereth & Steffen Sebastian, 2023. "Round-Number Effects in Real Estate Prices: Evidence from Germany," Rationality and Competition Discussion Paper Series 446, CRC TRR 190 Rationality and Competition.
• DIODATO Dario & NAPOLITANO Lorenzo & PUGLIESE Emanuele & TACCHELLA Andrea, 2023. "Economic Complexity for Regional Industrial Strategies," JRC Research Reports JRC136443, Joint Research Centre.
• Yiyi Huo & Yingying Fan & Fang Han, 2023. "On the adaptation of causal forests to manifold data," Papers 2311.16486, arXiv.org, revised Dec 2023.
• Emile Cammeraat & Brinn Hekkelman & Pim Kastelein & Suzanne Vissers, 2023. "Predictability and (co-)incidence of labor and health shocks," CPB Discussion Paper 453, CPB Netherlands Bureau for Economic Policy Analysis.
• Ruiqi Sun & Daniel Trefler, 2023. "The Impact of AI and Cross-Border Data Regulation on International Trade in Digital Services: A Large Language Model," NBER Working Papers 31925, National Bureau of Economic Research, Inc.
• Boyang Yu, 2023. "Benchmarking Large Language Model Volatility," Papers 2311.15180, arXiv.org.
• Item repec:nzb:nzbans:2023/4 is not listed on IDEAS anymore

• Julien Pascal, 2023. "Rental housing market and directed search," BCL working papers 179, Central Bank of Luxembourg.
• Haoqiang Kang & Xiao-Yang Liu, 2023. "Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination," Papers 2311.15548, arXiv.org.