Report NEP-CMP-2024-02-05

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

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Other reports in NEP-CMP

The following items were announced in this report:

• Zhouzhou Gu & Mathieu Laurière & Sebastian Merkel & Jonathan Payne, 2023. "Deep Learning Solutions to Master Equations for Continuous Time Heterogeneous Agent Macroeconomic Models," Working Papers 2023-19, Princeton University. Economics Department..
• Ramaharo, Franck M. & Rasolofomanana, Gerzhino H., 2023. "Nowcasting Madagascar's real GDP using machine learning algorithms," MPRA Paper 119574, University Library of Munich, Germany.
• Bingduo Yang & Wei Long & Zongwu Cai, 2024. "Machine Learning Based Panel Data Models," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202402, University of Kansas, Department of Economics, revised Jan 2024.
• Georgios Fatouros & Konstantinos Metaxas & John Soldatos & Dimosthenis Kyriazis, 2024. "Can Large Language Models Beat Wall Street? Unveiling the Potential of AI in Stock Selection," Papers 2401.03737, arXiv.org, revised Apr 2024.
• Shovon Sengupta & Tanujit Chakraborty & Sunny Kumar Singh, 2023. "Forecasting CPI inflation under economic policy and geopolitical uncertainties," Papers 2401.00249, arXiv.org, revised Jul 2024.
• Patel, Rajesh & Khan, Fatima & Silva, Buddhika & Shaturaev, Jakhongir, 2023. "Unleashing the Potential of Artificial Intelligence in Auditing: A Comprehensive Exploration of its Multifaceted Impact," MPRA Paper 119616, University Library of Munich, Germany, revised 05 Dec 2023.
• David E., Bloom & Prettner, Klaus & Saadaoui, Jamel & Veruete, Mario, 2023. "Artificial intelligence and the skill premium," Department of Economics Working Paper Series 353, WU Vienna University of Economics and Business.
• Giraldo, Iader & Giraldo, Iader & Gomez-Gonzalez, Jose E & Uribe, Jorge M, 2024. "Integration and Financial Stability: A Post-Global Crisis Assessment," Documentos de trabajo 20926, FLAR.
• Shivam Gupta & Sachin Modgil & Ajay Kumar & Uthayasankar Sivarajah & Zahir Irani, 2022. "Artificial intelligence and cloud-based Collaborative Platforms for Managing Disaster, extreme weather and emergency operations," Post-Print hal-04325638, HAL.
• David E. Bloom & Klaus Prettner & Jamel Saadaoui & Mario Veruete, 2023. "Artificial intelligence and the skill premium," Department of Economics Working Papers wuwp353, Vienna University of Economics and Business, Department of Economics.
• Jules H. van Binsbergen & Svetlana Bryzgalova & Mayukh Mukhopadhyay & Varun Sharma, 2024. "(Almost) 200 Years of News-Based Economic Sentiment," NBER Working Papers 32026, National Bureau of Economic Research, Inc.
• Yu, Chen, 2023. "AI Revolution: Reshaping Global Value Chains for the Future," OSF Preprints n6hb2, Center for Open Science.
• Yu, Chen, 2024. "AI and Economic Governance: Navigating the Visible and Invisible Hands in a Digital Era," OSF Preprints tvchw, Center for Open Science.
• De Petris, Caterina & Drechsler, Martin, 2023. "Harnessing social norms to gain cost-effectiveness in conservation schemes through dynamic scheme design: implications of bounded rationality and other-regarding preferences for Payments for Ecosystem," MPRA Paper 119534, University Library of Munich, Germany, revised 03 Jan 2024.
• Mauro Cazzaniga & Ms. Florence Jaumotte & Longji Li & Mr. Giovanni Melina & Augustus J Panton & Carlo Pizzinelli & Emma J Rockall & Ms. Marina Mendes Tavares, 2024. "Gen-AI: Artificial Intelligence and the Future of Work," IMF Staff Discussion Notes 2024/001, International Monetary Fund.
• Yue Fang & Junyi Liu & Jong-Shi Pang, 2024. "Classification and Treatment Learning with Constraints via Composite Heaviside Optimization: a Progressive MIP Method," Papers 2401.01565, arXiv.org, revised Jan 2024.
• Vahidin Jeleskovic & Stephen Mackay, 2023. "Intraday Trading Algorithm for Predicting Cryptocurrency Price Movements Using Twitter Big Data Analysis," Papers 2401.00603, arXiv.org.