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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. 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:
- Zhouzhou Gu & Mathieu Laurière & Sebastian Merkel & Jonathan Payne, 2023, "Deep Learning Solutions to Master Equations for Continuous Time Heterogeneous Agent Macroeconomic Models," Working Papers, Princeton University. Economics Department., number 2023-19, Aug.
- Ramaharo, Franck M. & Rasolofomanana, Gerzhino H., 2023, "Nowcasting Madagascar's real GDP using machine learning algorithms," MPRA Paper, University Library of Munich, Germany, number 119574, Dec.
- Bingduo Yang & Wei Long & Zongwu Cai, 2024, "Machine Learning Based Panel Data Models," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202402, Jan, 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, arXiv.org, number 2401.03737, Jan, revised Apr 2024.
- Shovon Sengupta & Tanujit Chakraborty & Sunny Kumar Singh, 2023, "Forecasting CPI inflation under economic policy and geopolitical uncertainties," Papers, arXiv.org, number 2401.00249, Dec, 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, University Library of Munich, Germany, number 119616, Aug, 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, WU Vienna University of Economics and Business, number 353, Dec.
- Iader Giraldo & Iader Giraldo & Jose E Gomez-Gonzalez & Jorge M Uribe, 2024, "Integration and Financial Stability: A Post-Global Crisis Assessment," Documentos de trabajo, FLAR, number 20926, Jan.
- 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, number hal-04325638, Sep, DOI: 10.1016/j.ijpe.2022.108642.
- David E. Bloom & Klaus Prettner & Jamel Saadaoui & Mario Veruete, 2023, "Artificial intelligence and the skill premium," Department of Economics Working Papers, Vienna University of Economics and Business, Department of Economics, number wuwp353, Dec.
- Jules H. van Binsbergen & Svetlana Bryzgalova & Mayukh Mukhopadhyay & Varun Sharma, 2024, "(Almost) 200 Years of News-Based Economic Sentiment," NBER Working Papers, National Bureau of Economic Research, Inc, number 32026, Jan.
- Yu, Chen, 2023, "AI Revolution: Reshaping Global Value Chains for the Future," OSF Preprints, Center for Open Science, number n6hb2, Dec, DOI: 10.31219/osf.io/n6hb2.
- Yu, Chen, 2024, "AI and Economic Governance: Navigating the Visible and Invisible Hands in a Digital Era," OSF Preprints, Center for Open Science, number tvchw, Jan, DOI: 10.31219/osf.io/tvchw.
- 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 Services (PES)," MPRA Paper, University Library of Munich, Germany, number 119534, Dec, 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, International Monetary Fund, number 2024/001, Jan.
- Yue Fang & Junyi Liu & Jong-Shi Pang, 2024, "Classification and Treatment Learning with Constraints via Composite Heaviside Optimization: a Progressive MIP Method," Papers, arXiv.org, number 2401.01565, Jan, revised Jan 2024.
- Vahidin Jeleskovic & Stephen Mackay, 2023, "Intraday Trading Algorithm for Predicting Cryptocurrency Price Movements Using Twitter Big Data Analysis," Papers, arXiv.org, number 2401.00603, Dec.