Printed from https://ideas.repec.org/n/nep-big/2024-04-22.html
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 (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:
- Item repec:cam:camjip:2402 is not listed on IDEAS anymore
- 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, Center for Open Science, number dzp26, Sep, DOI: 10.31219/osf.io/dzp26.
- 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, arXiv.org, number 2403.10916, Mar, 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, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI), number 22-24, Dec.
- Jonathan Fuhr & Philipp Berens & Dominik Papies, 2024, "Estimating Causal Effects with Double Machine Learning -- A Method Evaluation," Papers, arXiv.org, number 2403.14385, Mar, revised Apr 2024.
- Thanos Konstantinidis & Giorgos Iacovides & Mingxue Xu & Tony G. Constantinides & Danilo Mandic, 2024, "FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications," Papers, arXiv.org, number 2403.12285, Mar.
- Item repec:cam:camjip:2406 is not listed on IDEAS anymore
- Shaojie Li & Xinqi Dong & Danqing Ma & Bo Dang & Hengyi Zang & Yulu Gong, 2024, "Utilizing the LightGBM Algorithm for Operator User Credit Assessment Research," Papers, arXiv.org, number 2403.14483, Mar.
- 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, arXiv.org, number 2403.12161, Mar.
- Marco Letta & Pierluigi Montalbano & Adriana Paolantonio, 2024, "Climate Immobility Traps: A Household-Level Test," Papers, arXiv.org, number 2403.09470, Mar.
- Leogrande, Angelo, 2024, "Knowledge Workers across the Italian Regions," MPRA Paper, University Library of Munich, Germany, number 120550, Mar.
- 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, University of Pretoria, Department of Economics, number 202414, Mar.
- Gustavo Romero Cardoso & Marcio Issao Nakane, 2024, "What's in a headline? News impact on the Brazilian economy," Working Papers, Department of Economics, University of São Paulo (FEA-USP), number 2024_12, Apr.
- Item repec:ecr:col041:69088 is not listed on IDEAS anymore
- 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, London School of Economics and Political Science, LSE Library, number 122377, Feb.
- Jeff Dominitz & Charles F. Manski, 2024, "Comprehensive OOS Evaluation of Predictive Algorithms with Statistical Decision Theory," Papers, arXiv.org, number 2403.11016, Mar, revised Apr 2025.
- Christian Møller Dahl & Torben Johansen & Christian Vedel, 2024, "Breaking the HISCO Barrier: Automatic Occupational Standardization with OccCANINE," Working Papers, European Historical Economics Society (EHES), number 0255, Apr.
- 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, arXiv.org, number 2403.10239, Mar.
- Bruno de Melo & Jamiel Sheikh, 2024, "Can a GPT4-Powered AI Agent Be a Good Enough Performance Attribution Analyst?," Papers, arXiv.org, number 2403.10482, Mar, revised Mar 2024.
- Fabio Gatti, 2024, "Quantifying Trade from Renaissance Merchant Letters," Diskussionsschriften, Universitaet Bern, Departement Volkswirtschaft, number dp2403, Mar.