Report NEP-CMP-2023-09-18

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:

• Jiří Witzany & Milan Fičura, 2023. "A Comparison of Neural Networks and Bayesian MCMC for the Heston Model Estimation (Forget Statistics - Machine Learning is Sufficient!)," FFA Working Papers 5.007, Prague University of Economics and Business, revised 11 Jul 2023.
• Yung, Vincent & Colyvas, Jeannette, 2023. "Munging the Ghosts in the Machine: Coded Bias and the Craft of Wrangling Archival Data," SocArXiv 2dve6, Center for Open Science.
• Dimitrios Vamvourellis & M'at'e Toth & Snigdha Bhagat & Dhruv Desai & Dhagash Mehta & Stefano Pasquali, 2023. "Company Similarity using Large Language Models," Papers 2308.08031, arXiv.org.
• Hui Niu & Siyuan Li & Jiahao Zheng & Zhouchi Lin & Jian Li & Jian Guo & Bo An, 2023. "IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making," Papers 2308.08918, arXiv.org.
• Avish Buramdoyal & Tim Gebbie, 2023. "Variations on the Reinforcement Learning performance of Blackjack," Papers 2308.07329, arXiv.org.
• Kleyton da Costa, 2023. "Anomaly Detection in Global Financial Markets with Graph Neural Networks and Nonextensive Entropy," Papers 2308.02914, arXiv.org, revised Aug 2023.
• Turan G. Bali & Bryan T. Kelly & Mathis Mörke & Jamil Rahman, 2023. "Machine Forecast Disagreement," NBER Working Papers 31583, National Bureau of Economic Research, Inc.
• Annabelle Mourougane & Polina Knutsson & Rodrigo Pazos & Julia Schmidt & Francesco Palermo, 2023. "Nowcasting trade in value added indicators," OECD Statistics Working Papers 2023/03, OECD Publishing.
• Rama K. Malladi, 2023. "Emerging Frontiers: Exploring the Impact of Generative AI Platforms on University Quantitative Finance Examinations," Papers 2308.07979, arXiv.org, revised Aug 2023.
• Ajay K. Agrawal & John McHale & Alexander Oettl, 2023. "Artificial Intelligence and Scientific Discovery: A Model of Prioritized Search," NBER Working Papers 31558, National Bureau of Economic Research, Inc.
• Zuzana Irsova & Hristos Doucouliagos & Tomas Havranek & T. D. Stanley, 2023. "Meta-Analysis of Social Science Research: A Practitioner´s Guide," Working Papers IES 2023/25, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2023.
• Mikrajuddin Abdullah, 2023. "A New Approach to Overcoming Zero Trade in Gravity Models to Avoid Indefinite Values in Linear Logarithmic Equations and Parameter Verification Using Machine Learning," Papers 2308.06303, arXiv.org.
• Xiang Hui & Oren Reshef & Luofeng Zhou, 2023. "The Short-Term Effects of Generative Artificial Intelligence on Employment: Evidence from an Online Labor Market," CESifo Working Paper Series 10601, CESifo.
• Yael Hochberg & Ali Kakhbod & Peiyao Li & Kunal Sachdeva, 2023. "Inventor Gender and Patent Undercitation: Evidence from Causal Text Estimation," NBER Working Papers 31592, National Bureau of Economic Research, Inc.
• Nicolas Ameye & Jacques Bughin & Nicolas van Zeebroeck, 2023. "How uncertainty shapes herding in the corporate use of artificial intelligence technology," ULB Institutional Repository 2013/362348, ULB -- Universite Libre de Bruxelles.
• Ilias Filippou & James Mitchell & My T. Nguyen, 2023. "The FOMC versus the Staff: Do Policymakers Add Value in Their Tales?," Working Papers 23-20, Federal Reserve Bank of Cleveland.
• Fabian Heymann & Konstantinos Parginos & Ali Hariri & Gabriele Franco, 2023. "Regulating Artificial Intelligence in the EU, United States and China - Implications for energy systems," Post-Print hal-04167091, HAL.
• Mathias, Lea, 2023. "Multi-level Fusion in Deep Convolutional Networks for Enhanced Image Analysis," OSF Preprints 58h7t, Center for Open Science.
• Abdulrezzak Zekiye & Semih Utku & Fadi Amroush & Oznur Ozkasap, 2023. "AI-Assisted Investigation of On-Chain Parameters: Risky Cryptocurrencies and Price Factors," Papers 2308.08554, arXiv.org.
• Sushant Acharya & William Chen & Marco Del Negro & Keshav Dogra & Aidan Gleich & Shlok Goyal & Donggyu Lee & Ethan Matlin & Reca Sarfati & Sikata Sengupta, 2023. "Estimating HANK for Central Banks," Staff Reports 1071, Federal Reserve Bank of New York.
• Abdul-Lateef Haji-Ali & Jonathan Spence, 2023. "Nested Multilevel Monte Carlo with Biased and Antithetic Sampling," Papers 2308.07835, arXiv.org.