Report NEP-CMP-2024-01-22

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:

• Milan Ficura & Jiri Witzany, 2023. "Historical Calibration of SVJD Models with Deep Learning," Working Papers IES 2023/36, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2023.
• Franck Jaotombo & Luca Adorni & Badih Ghattas & Laurent Boyer, 2023. "Finding the best trade-off between performance and interpretability in predicting hospital length of stay using structured and unstructured data," Post-Print hal-04339462, HAL.
• Aaron Wheeler & Jeffrey D. Varner, 2023. "Scalable Agent-Based Modeling for Complex Financial Market Simulations," Papers 2312.14903, arXiv.org, revised Jan 2024.
• Zeteng Lin, 2023. "How Generative-AI can be Effectively used in Government Chatbots," Papers 2312.02181, arXiv.org.
• Franck Jaotombo & Vanessa Pauly & Guillaume Fond & Veronica Orleans & Pascal Auquier & Badih Ghattas & Laurent Boyer, 2023. "Machine-learning prediction for hospital length of stay using a French medico-administrative database," Post-Print hal-04325691, HAL.
• Spandagos, Constantine & Tovar Reaños, Miguel & Lynch, Muireann Á, 2023. "Energy poverty prediction and effective targeting for just transitions with machine learning," Papers WP762, Economic and Social Research Institute (ESRI).
• Augusto Cerqua & Marco Letta & Fiammetta Menchetti, 2023. "Causal inference and policy evaluation without a control group," Papers 2312.05858, arXiv.org, revised Oct 2024.
• 'Alvaro Cartea & Gerardo Duran-Martin & Leandro S'anchez-Betancourt, 2023. "Detecting Toxic Flow," Papers 2312.05827, arXiv.org.
• Paul Clarke & Annalivia Polselli, 2023. "Double Machine Learning for Static Panel Models with Fixed Effects," Papers 2312.08174, arXiv.org, revised Sep 2024.
• Alex Kim & Sangwon Yoon, 2023. "Corporate Bankruptcy Prediction with Domain-Adapted BERT," Papers 2312.03194, arXiv.org.
• Enrique Ide & Eduard Talamas, 2023. "Artificial Intelligence in the Knowledge Economy," Papers 2312.05481, arXiv.org, revised Nov 2024.
• Min Dai & Yuchao Dong & Yanwei Jia & Xun Yu Zhou, 2023. "Learning Merton's Strategies in an Incomplete Market: Recursive Entropy Regularization and Biased Gaussian Exploration," Papers 2312.11797, arXiv.org.
• Zhongyang Guo & Guanran Jiang & Zhongdan Zhang & Peng Li & Zhefeng Wang & Yinchun Wang, 2023. "Shai: A large language model for asset management," Papers 2312.14203, arXiv.org.
• Ivan Conjeaud, 2023. "Algorithmic collusion under competitive design," Papers 2312.02644, arXiv.org, revised Sep 2024.
• Roberto Daluiso & Marco Pinciroli & Michele Trapletti & Edoardo Vittori, 2023. "CVA Hedging by Risk-Averse Stochastic-Horizon Reinforcement Learning," Papers 2312.14044, arXiv.org.
• Yu Xia & Ali Arian & Sriram Narayanamoorthy & Joshua Mabry, 2023. "RetailSynth: Synthetic Data Generation for Retail AI Systems Evaluation," Papers 2312.14095, arXiv.org.
• David Hason Rudd & Huan Huo & Guandong Xu, 2023. "Predicting Financial Literacy via Semi-supervised Learning," Papers 2312.10984, arXiv.org.
• Florian Englmaier & Michael Hofmann & Stefanie Wolter, 2023. "Mapping the Dynamics of Management Styles— Evidence from German Survey Data," Rationality and Competition Discussion Paper Series 481, CRC TRR 190 Rationality and Competition.
• Hanyu Li & Wenhan Huang & Zhijian Duan & David Henry Mguni & Kun Shao & Jun Wang & Xiaotie Deng, 2023. "A survey on algorithms for Nash equilibria in finite normal-form games," Papers 2312.11063, arXiv.org.
• Engberg, Erik & Koch, Michael & Lodefalk, Magnus & Schroeder, Sarah, 2023. "Artificial Intelligence, Tasks, Skills and Wages: Worker-Level Evidence from Germany," Ratio Working Papers 371, The Ratio Institute.
• Akalan, Rodi & Brink, Siegrun & Icks, Annette & Wolter, Hans-Jürgen, 2023. "Bedrohungen und Chancen frühzeitig erkennen: Entwicklung eines Früherkennungskonzepts," IfM-Materialien 303, Institut für Mittelstandsforschung (IfM) Bonn.
• Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin & Kopasker, Daniel & Vittal Katikireddi, Srinivasa, 2023. "SimPaths: an open-source microsimulation model for life course analysis," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA6/23, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
• Engberg, Erik & Koch, Michael & Lodefalk, Magnus & Schroeder, Sarah, 2023. "Artificial Intelligence, Tasks, Skills and Wages: Worker-Level Evidence from Germany," Working Papers 2023:12, Örebro University, School of Business.
• Svetlana Boyarchenko & Sergei Levendorskii, 2023. "Simulation of a L\'evy process, its extremum, and hitting time of the extremum via characteristic functions," Papers 2312.03929, arXiv.org.
• Paolo Gelain & Pierlauro Lopez, 2023. "A DSGE Model Including Trend Information and Regime Switching at the ZLB," Working Papers 23-35, Federal Reserve Bank of Cleveland.
• Rafael Andersson Lipcsey, 2023. "The Transformative Effects of AI on International Economics," Papers 2312.06679, arXiv.org.