Printed from https://ideas.repec.org/n/nep-cmp/2023-09-18.html
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. 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:
- 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, Prague University of Economics and Business, number 5.007, Jul, 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, Center for Open Science, number 2dve6, Aug, DOI: 10.31219/osf.io/2dve6.
- Dimitrios Vamvourellis & M'at'e Toth & Snigdha Bhagat & Dhruv Desai & Dhagash Mehta & Stefano Pasquali, 2023, "Company Similarity using Large Language Models," Papers, arXiv.org, number 2308.08031, Aug.
- 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, arXiv.org, number 2308.08918, Aug.
- Avish Buramdoyal & Tim Gebbie, 2023, "Variations on the Reinforcement Learning performance of Blackjack," Papers, arXiv.org, number 2308.07329, Aug.
- Kleyton da Costa, 2023, "Anomaly Detection in Global Financial Markets with Graph Neural Networks and Nonextensive Entropy," Papers, arXiv.org, number 2308.02914, Aug, revised Aug 2023.
- Turan G. Bali & Bryan T. Kelly & Mathis Mörke & Jamil Rahman, 2023, "Machine Forecast Disagreement," NBER Working Papers, National Bureau of Economic Research, Inc, number 31583, Aug.
- Annabelle Mourougane & Polina Knutsson & Rodrigo Pazos & Julia Schmidt & Francesco Palermo, 2023, "Nowcasting trade in value added indicators," OECD Statistics Working Papers, OECD Publishing, number 2023/03, Sep, DOI: 10.1787/00f8aff7-en.
- Rama K. Malladi, 2023, "Emerging Frontiers: Exploring the Impact of Generative AI Platforms on University Quantitative Finance Examinations," Papers, arXiv.org, number 2308.07979, Aug, revised Aug 2023.
- Ajay K. Agrawal & John McHale & Alexander Oettl, 2023, "Artificial Intelligence and Scientific Discovery: A Model of Prioritized Search," NBER Working Papers, National Bureau of Economic Research, Inc, number 31558, Aug.
- Zuzana Irsova & Hristos Doucouliagos & Tomas Havranek & T. D. Stanley, 2023, "Meta-Analysis of Social Science Research: A Practitioner´s Guide," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2023/25, Sep, 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, arXiv.org, number 2308.06303, Aug.
- 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, CESifo, number 10601.
- Yael Hochberg & Ali Kakhbod & Peiyao Li & Kunal Sachdeva, 2023, "Inventor Gender and Patent Undercitation: Evidence from Causal Text Estimation," NBER Working Papers, National Bureau of Economic Research, Inc, number 31592, Aug.
- Nicolas Ameye & Jacques Bughin & Nicolas van Zeebroeck, 2023, "How uncertainty shapes herding in the corporate use of artificial intelligence technology," ULB Institutional Repository, ULB -- Universite Libre de Bruxelles, number 2013/362348, Aug.
- Ilias Filippou & James Mitchell & My T. Nguyen, 2023, "The FOMC versus the Staff: Do Policymakers Add Value in Their Tales?," Working Papers, Federal Reserve Bank of Cleveland, number 23-20, Aug, DOI: 10.26509/frbc-wp-202320.
- 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, number hal-04167091, Oct.
- Mathias, Lea, 2023, "Multi-level Fusion in Deep Convolutional Networks for Enhanced Image Analysis," OSF Preprints, Center for Open Science, number 58h7t, Aug, DOI: 10.31219/osf.io/58h7t.
- Abdulrezzak Zekiye & Semih Utku & Fadi Amroush & Oznur Ozkasap, 2023, "AI-Assisted Investigation of On-Chain Parameters: Risky Cryptocurrencies and Price Factors," Papers, arXiv.org, number 2308.08554, Aug.
- 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, Federal Reserve Bank of New York, number 1071, Aug, DOI: 10.59576/sr.1071.
- Abdul-Lateef Haji-Ali & Jonathan Spence, 2023, "Nested Multilevel Monte Carlo with Biased and Antithetic Sampling," Papers, arXiv.org, number 2308.07835, Aug.