Report NEP-BIG-2024-04-22

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:

• Mueller, H. & Rauh, C. & Seimon, B., 2024. "Introducing a Global Dataset on Conflict Forecasts and News Topics," Janeway Institute Working Papers 2402, Faculty of Economics, University of Cambridge.
• Maheronnaghsh, Mohammad Javad & Gheidi, Mohammad Mahdi & Fazli, MohammadAmin, 2023. "Machine Learning Methods in Algorithmic Trading: An Experimental Evaluation of Supervised Learning Techniques for Stock Price," OSF Preprints dzp26, Center for Open Science.
• Moseli Mots'oehli & Anton Nikolaev & Wawan B. IGede & John Lynham & Peter J. Mous & Peter Sadowski, 2024. "FishNet: Deep Neural Networks for Low-Cost Fish Stock Estimation," Papers 2403.10916, arXiv.org, revised Jun 2024.
• N. Meltem Daysal & Sendhil Mullainathan & Ziad Obermeyer & Suproteem K. Sarkar & Mircea Trandafir, 2022. "An Economic Approach to Machine Learning in Health Policy," CEBI working paper series 22-24, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
• Jonathan Fuhr & Philipp Berens & Dominik Papies, 2024. "Estimating Causal Effects with Double Machine Learning -- A Method Evaluation," Papers 2403.14385, arXiv.org, revised Apr 2024.
• Thanos Konstantinidis & Giorgos Iacovides & Mingxue Xu & Tony G. Constantinides & Danilo Mandic, 2024. "FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications," Papers 2403.12285, arXiv.org.
• Michalopoulos, S & Rauh, C., 2024. "Movies," Janeway Institute Working Papers 2406, Faculty of Economics, University of Cambridge.
• Shaojie Li & Xinqi Dong & Danqing Ma & Bo Dang & Hengyi Zang & Yulu Gong, 2024. "Utilizing the LightGBM Algorithm for Operator User Credit Assessment Research," Papers 2403.14483, arXiv.org.
• Arijit Das & Tanmoy Nandi & Prasanta Saha & Suman Das & Saronyo Mukherjee & Sudip Kumar Naskar & Diganta Saha, 2024. "Effect of Leaders Voice on Financial Market: An Empirical Deep Learning Expedition on NASDAQ, NSE, and Beyond," Papers 2403.12161, arXiv.org.
• Marco Letta & Pierluigi Montalbano & Adriana Paolantonio, 2024. "Climate Immobility Traps: A Household-Level Test," Papers 2403.09470, arXiv.org.
• Leogrande, Angelo, 2024. "Knowledge Workers across the Italian Regions," MPRA Paper 120550, University Library of Munich, Germany.
• Oguzhan Cepni & Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2024. "Political Geography and Stock Market Volatility: The Role of Political Alignment across Sentiment Regimes," Working Papers 202414, University of Pretoria, Department of Economics.
• Gustavo Romero Cardoso & Marcio Issao Nakane, 2024. "What’s in a headline? News impact on the Brazilian economy," Working Papers, Department of Economics 2024_12, University of São Paulo (FEA-USP).
• Espíndola, Ernesto & Suárez, José Ignacio, 2024. "Labour automation and challenges in labour inclusion in Latin America: regionally adjusted risk estimates based on machine learning," Políticas Sociales 69088, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
• Suss, Joel & Kemeny, Tom & Connor, Dylan S., 2024. "GEOWEALTH-US: spatial wealth inequality data for the United States, 1960–2020," LSE Research Online Documents on Economics 122377, London School of Economics and Political Science, LSE Library.
• Jeff Dominitz & Charles F. Manski, 2024. "Comprehensive OOS Evaluation of Predictive Algorithms with Statistical Decision Theory," Papers 2403.11016, arXiv.org, revised May 2024.
• Christian Møller Dahl & Torben Johansen & Christian Vedel, 2024. "Breaking the HISCO Barrier: Automatic Occupational Standardization with OccCANINE," Working Papers 0255, European Historical Economics Society (EHES).
• A. Fronzetti Colladon & R. Vestrelli & S. Bait & M. M. Schiraldi, 2024. "A Big Data Approach to Understand Sub-national Determinants of FDI in Africa," Papers 2403.10239, arXiv.org.
• Bruno de Melo & Jamiel Sheikh, 2024. "Can a GPT4-Powered AI Agent Be a Good Enough Performance Attribution Analyst?," Papers 2403.10482, arXiv.org, revised Mar 2024.
• Fabio Gatti, 2024. "Quantifying Trade from Renaissance Merchant Letters," Diskussionsschriften dp2403, Universitaet Bern, Departement Volkswirtschaft.