Report NEP-CMP-2024-04-22

This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stanley Miles issued this report. It is usually issued weekly.

Subscribe to this report: email, RSS, or Mastodon, or Bluesky.

Other reports in NEP-CMP

The following items were announced in this report:

• 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.
• 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.
• 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.
• Cecilia Ying & Stephen Thomas, 2024, "Improving Fairness in Credit Lending Models using Subgroup Threshold Optimization," Papers, arXiv.org, number 2403.10652, Mar.
• 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.
• 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.
• Item repec:cam:camjip:2402 is not listed on IDEAS anymore

• Lucas javaudin & André de Palma, 2024, "METROPOLIS2: Bridging Theory and Simulation in Agent-Based Transport Modeling," Thema Working Papers, THEMA (Théorie Economique, Modélisation et Applications), CY Cergy-Paris University, ESSEC and CNRS, number 2024-03.
• 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.
• Eli Ben-Michael & D. James Greiner & Melody Huang & Kosuke Imai & Zhichao Jiang & Sooahn Shin, 2024, "Does AI help humans make better decisions? A statistical evaluation framework for experimental and observational studies," Papers, arXiv.org, number 2403.12108, Mar, revised Oct 2024.
• Qirui Mi & Zhiyu Zhao & Chengdong Ma & Siyu Xia & Yan Song & Mengyue Yang & Jun Wang & Haifeng Zhang, 2024, "Learning Macroeconomic Policies through Dynamic Stackelberg Mean-Field Games," Papers, arXiv.org, number 2403.12093, Mar, revised Jun 2025.
• Bertin Martens, 2024, "Economic arguments in favour of reducing copyright protection for generative AI inputs and outputs," Bruegel Working Papers, Bruegel, number node_9853, Apr.
• 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.
• Harashima, Taiji, 2024, "Numerical Simulation of Economic Depression," MPRA Paper, University Library of Munich, Germany, number 120508, Mar.
• Allwein, Florian, 2024, "ChatGPT - A critical view," IU Discussion Papers - IT & Engineering, IU International University of Applied Sciences, number 1 (March 2024).
• Hans Gersbach & Fikri Pitsuwan & Pio Blieske, 2024, "Artificial Bugs for Crowdsearch," Papers, arXiv.org, number 2403.09484, Mar.
• 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, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 69088, Mar.
• Anton Korinek & Donghyun Suh, 2024, "Scenarios for the Transition to AGI," Papers, arXiv.org, number 2403.12107, Mar.

Report NEP-CMP-2024-04-22

This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stanley Miles issued this report. It is usually issued weekly.

Subscribe to this report: email, RSS, or Mastodon, or Bluesky.

Other reports in NEP-CMP

The following items were announced in this report: