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Report NEP-CMP-2024-12-02
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:
- Alicia Vidler & Toby Walsh, 2024, "TraderTalk: An LLM Behavioural ABM applied to Simulating Human Bilateral Trading Interactions," Papers, arXiv.org, number 2410.21280, Oct.
- Saber Talazadeh & Dragan Perakovic, 2024, "SARF: Enhancing Stock Market Prediction with Sentiment-Augmented Random Forest," Papers, arXiv.org, number 2410.07143, Sep.
- Jesús Fernández-Villaverde & Galo Nuño & Jesse Perla, 2024, "Taming the Curse of Dimensionality: Quantitative Economics with Deep Learning," NBER Working Papers, National Bureau of Economic Research, Inc, number 33117, Nov.
- Yi Zheng & Zehao Li & Peng Jiang & Yijie Peng, 2024, "Dual-Agent Deep Reinforcement Learning for Dynamic Pricing and Replenishment," Papers, arXiv.org, number 2410.21109, Oct.
- Arya Chakraborty & Auhona Basu, 2024, "A Hierarchical conv-LSTM and LLM Integrated Model for Holistic Stock Forecasting," Papers, arXiv.org, number 2410.12807, Sep.
- Koen Ponse & Aske Plaat & Niki van Stein & Thomas M. Moerland, 2024, "EconoJax: A Fast & Scalable Economic Simulation in Jax," Papers, arXiv.org, number 2410.22165, Oct, revised May 2025.
- Kei Nakagawa & Masanori Hirano & Yugo Fujimoto, 2024, "Evaluating Company-specific Biases in Financial Sentiment Analysis using Large Language Models," Papers, arXiv.org, number 2411.00420, Nov.
- Sotiris Tsolacos & Tatiana Franus, 2024, "Assessing the forecast performance of machine learning algorithms and econometric models in real estate," ERES, European Real Estate Society (ERES), number eres2024-251, Jan.
- Ji Ma, 2024, "Can Machines Think Like Humans? A Behavioral Evaluation of LLM Agents in Dictator Games," Papers, arXiv.org, number 2410.21359, Oct, revised Nov 2025.
- Yuan Gao & Dokyun Lee & Gordon Burtch & Sina Fazelpour, 2024, "Take Caution in Using LLMs as Human Surrogates: Scylla Ex Machina," Papers, arXiv.org, number 2410.19599, Oct, revised Jan 2025.
- Ruyi Tao & Veronica R. Cappelli & Kaiwei Liu & Marcus J. Hamilton & Christopher P. Kempes & Geoffrey B. Wes & Jiang Zhang, 2024, "Predicting Company Growth using Scaling Theory informed Machine Learning," Papers, arXiv.org, number 2410.17587, Oct, revised Feb 2026.
- Michel F. C. Haddad & Martin Huber & Jos'e Eduardo Medina-Reyes & Lucas Z. Zhang, 2024, "Difference-in-Differences with Time-varying Continuous Treatments using Double/Debiased Machine Learning," Papers, arXiv.org, number 2410.21105, Oct, revised Jan 2026.