Printed from https://ideas.repec.org/n/nep-big/2024-01-08.html
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 (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:
- Tanner Regan & Giorgio Chiovelli & Stelios Michalopoulos & Elias Papaioannou, 2023, "Illuminating Africa?," Working Papers, The George Washington University, Institute for International Economic Policy, number 2023-11, Nov.
- Matteo Gambara & Giulia Livieri & Andrea Pallavicini, 2023, "Machine-learning regression methods for American-style path-dependent contracts," Papers, arXiv.org, number 2311.16762, Nov, revised Jul 2025.
- Vincent Gurgul & Stefan Lessmann & Wolfgang Karl Hardle, 2023, "Deep Learning and NLP in Cryptocurrency Forecasting: Integrating Financial, Blockchain, and Social Media Data," Papers, arXiv.org, number 2311.14759, Nov, revised Oct 2024.
- Philippe Goulet Coulombe & Mikael Frenette & Karin Klieber, 2023, "From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks," Papers, arXiv.org, number 2311.16333, Nov, revised Apr 2024.
- Ruslan Tepelyan & Achintya Gopal, 2023, "Generative Machine Learning for Multivariate Equity Returns," Papers, arXiv.org, number 2311.14735, Nov.
- Robert Stok & Paul Bilokon, 2023, "From Deep Filtering to Deep Econometrics," Papers, arXiv.org, number 2311.06256, Sep.
- Salas Rojo, Pedro & Rodríguez, Juan Gabriel, 2022, "Inheritances and wealth inequality: a machine learning approach," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 120916, Mar.
- Ummara Mumtaz & Summaya Mumtaz, 2023, "Potential of ChatGPT in predicting stock market trends based on Twitter Sentiment Analysis," Papers, arXiv.org, number 2311.06273, Oct.
- kilani, bochra hadj, 2023, "K-Means Clustering algorithms in Urban studies: A Review of Unsupervised Machine Learning techniques," OSF Preprints, Center for Open Science, number bs6wy, Nov, DOI: 10.31219/osf.io/bs6wy.
- Deborah Miori & Constantin Petrov, 2023, "Narratives from GPT-derived Networks of News, and a link to Financial Markets Dislocations," Papers, arXiv.org, number 2311.14419, Nov.
- Chemaya, Nir & Cong, Lin William & Joergensen, Emma & Liu, Dingyue & Zhang, Luyao, 2023, "Uniswap Daily Transaction Indices by Network," OSF Preprints, Center for Open Science, number ube2z, Dec, DOI: 10.31219/osf.io/ube2z.
- Keegan Harris & Nicole Immorlica & Brendan Lucier & Aleksandrs Slivkins, 2023, "Algorithmic Persuasion Through Simulation," Papers, arXiv.org, number 2311.18138, Nov, revised Feb 2025.
- 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, National Bureau of Economic Research, Inc, number 31931, Dec.
- Ernst Fehr & Thomas Epper & Julien Senn, 2023, "The Fundamental Properties, Stability and Predictive Power of Distributional Preferences," Working Papers, IESEG School of Management, number 2023-iRisk-07, Dec.
- Khezr, Peyman & Pourkhanali, Armin, 2023, "An investigation of auctions in the Regional Greenhouse Gas Initiative," MPRA Paper, University Library of Munich, Germany, number 119289, Apr.
- Jen-Yin Yeh & Hsin-Yu Chiu & Jhih-Huei Huang, 2023, "Predicting Failure of P2P Lending Platforms through Machine Learning: The Case in China," Papers, arXiv.org, number 2311.14577, Nov.
- 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, CRC TRR 190 Rationality and Competition, number 446, Nov.
- DIODATO Dario & NAPOLITANO Lorenzo & PUGLIESE Emanuele & TACCHELLA Andrea, 2023, "Economic Complexity for Regional Industrial Strategies," JRC Research Reports, Joint Research Centre, number JRC136443, Dec.
- Yiyi Huo & Yingying Fan & Fang Han, 2023, "On the adaptation of causal forests to manifold data," Papers, arXiv.org, number 2311.16486, Nov, revised Dec 2023.
- Emile Cammeraat & Brinn Hekkelman & Pim Kastelein & Suzanne Vissers, 2023, "Predictability and (co-)incidence of labor and health shocks," CPB Discussion Paper, CPB Netherlands Bureau for Economic Policy Analysis, number 453, Dec, DOI: 10.34932/n1bs-qm11.
- 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, National Bureau of Economic Research, Inc, number 31925, Nov.
- Boyang Yu, 2023, "Benchmarking Large Language Model Volatility," Papers, arXiv.org, number 2311.15180, Nov.
- Item repec:nzb:nzbans:2023/4 is not listed on IDEAS anymore
- Julien Pascal, 2023, "Rental housing market and directed search," BCL working papers, Central Bank of Luxembourg, number 179, Dec.
- Haoqiang Kang & Xiao-Yang Liu, 2023, "Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination," Papers, arXiv.org, number 2311.15548, Nov.