Report NEP-BIG-2024-02-19

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:

• Patrick Rehill & Nicholas Biddle, 2024. "Heterogeneous treatment effect estimation with high-dimensional data in public policy evaluation -- an application to the conditioning of cash transfers in Morocco using causal machine learning," Papers 2401.07075, arXiv.org, revised Mar 2024.
• Michele Leonardo Bianchi, 2024. "Text mining arXiv: a look through quantitative finance papers," Papers 2401.01751, arXiv.org, revised Apr 2024.
• Robin Jarry & Marc Chaumont & Laure Berti-Équille & Gérard Subsol, 2023. "Comparing spatial and spatio-temporal paradigms to estimate the evolution of socio-economical indicators from satellite images," Post-Print hal-04268542, HAL.
• Jin, Keyan & Zhong, Ziqi & Zhao, Elena Yifei, 2024. "Sustainable digital marketing under big data: an AI random forest model approach," LSE Research Online Documents on Economics 121402, London School of Economics and Political Science, LSE Library.
• Ahrens, Achim & Hansen, Christian B. & Schaffer, Mark E & Wiemann, Thomas, 2024. "Model Averaging and Double Machine Learning," IZA Discussion Papers 16714, Institute of Labor Economics (IZA).
• Bloom, Nicholas & Davis, Steven J. & Hansen, Stephen & Lambert, Peter John & Sadun, Raffaella & Taska, Bledi, 2023. "Remote work across jobs, companies and space," LSE Research Online Documents on Economics 121302, London School of Economics and Political Science, LSE Library.
• KATO Rui & MIYAKAWA Daisuke & YANAOKA Masaki & YUKIMOTO Shinji, 2024. "Using Supply Chain Network Information and High-frequency Mobility Data to Forecast Firm Dynamics (Japanese)," Discussion Papers (Japanese) 24005, Research Institute of Economy, Trade and Industry (RIETI).
• F. Bolivar & Miguel A. Duran & A. Lozano-Vivas, 2024. "Business Model Contributions to Bank Profit Performance: A Machine Learning Approach," Papers 2401.12334, arXiv.org.
• Zan Yu & Lianzeng Zhang, 2024. "Computing the Gerber-Shiu function with interest and a constant dividend barrier by physics-informed neural networks," Papers 2401.04378, arXiv.org.
• Bohan Ma & Yushan Xue & Yuan Lu & Jing Chen, 2023. "Stockformer: A Price-Volume Factor Stock Selection Model Based on Wavelet Transform and Multi-Task Self-Attention Networks," Papers 2401.06139, arXiv.org, revised Jun 2024.
• Sourabh Balgi & Adel Daoud & Jose M. Pe~na & Geoffrey T. Wodtke & Jesse Zhou, 2024. "Deep Learning With DAGs," Papers 2401.06864, arXiv.org.
• Lezhi Li & Ting-Yu Chang & Hai Wang, 2023. "Multimodal Gen-AI for Fundamental Investment Research," Papers 2401.06164, arXiv.org.
• G. Arbia & V. Nardelli & N. Salvini & I. Valentini, 2024. "New accessibility measures based on unconventional big data sources," Papers 2401.13370, arXiv.org.
• Albert, Jose Ramon G. & Siar, Sheila V. & Vizmanos, Jana Flor V. & Hernandez, Angelo C. & Sarmiento, Janina Luz C., 2023. "Like, Comment, and Share: Analyzing Public Sentiments of Government Policies in Social Media," Discussion Papers DP 2023-33, Philippine Institute for Development Studies.
• Jeongbin Kim & Matthew Kovach & Kyu-Min Lee & Euncheol Shin & Hector Tzavellas, 2024. "Learning to be Homo Economicus: Can an LLM Learn Preferences from Choice," Papers 2401.07345, arXiv.org.
• Tetiana Yukhymenko & Oleh Sorochan, 2024. "Impact of the central bank's communication on macro financial outcomes," IHEID Working Papers 01-2024, Economics Section, The Graduate Institute of International Studies.
• Lembregts, Christophe & Cadario, Romain, 2024. "Consumer-Driven Climate Mitigation: Exploring Barriers and Solutions in Studying Higher Mitigation Potential Behaviors," OSF Preprints ywus6, Center for Open Science.