Report NEP-CMP-2021-10-11

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:

• Amine Assouel & Antoine Jacquier & Alexei Kondratyev, 2021. "A Quantum Generative Adversarial Network for distributions," Papers 2110.02742, arXiv.org.
• K. S. Naik, 2021. "Predicting Credit Risk for Unsecured Lending: A Machine Learning Approach," Papers 2110.02206, arXiv.org.
• Victor Chernozhukov & Whitney K. Newey & Victor Quintas-Martinez & Vasilis Syrgkanis, 2021. "RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests," Papers 2110.03031, arXiv.org, revised Jun 2022.
• Rui & Shi, 2021. "Can an AI agent hit a moving target?," Papers 2110.02474, arXiv.org, revised Oct 2022.
• Mahmoud Mahfouz & Tucker Balch & Manuela Veloso & Danilo Mandic, 2021. "Learning to Classify and Imitate Trading Agents in Continuous Double Auction Markets," Papers 2110.01325, arXiv.org, revised Oct 2021.
• Steven DiSilvio & Yu & Luo & Anthony Ozerov, 2021. "Traders in a Strange Land: Agent-based discrete-event market simulation of the Figgie card game," Papers 2110.00879, arXiv.org.
• Steven Campbell & Yichao Chen & Arvind Shrivats & Sebastian Jaimungal, 2021. "Deep Learning for Principal-Agent Mean Field Games," Papers 2110.01127, arXiv.org.
• Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2021. "Bridging the Divide? Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP082021, School of Economics, University of Queensland, Australia.
• Stephanie Assad & Emilio Calvano & Giacomo Calzolari & Robert Clark & Vincenzo Denicolo & Daniel Ershov & Justin Pappas Johnson & Sergio Pastorello & Andrew Rhodes & Lei Xu & Matthijs Wildenbeest, 2021. "Autonomous algorithmic collusion: Economic research and policy implications," Post-Print hal-03360129, HAL.
• Dimitriadou, Athanasia & Agrapetidou, Anna & Gogas, Periklis & Papadimitriou, Theophilos, 2021. "Credit Rating Agencies: Evolution or Extinction?," DUTH Research Papers in Economics 9-2021, Democritus University of Thrace, Department of Economics.
• Manuel Arellano & Stéphane Bonhomme & Micole De Vera & Laura Hospido & Siqi Wei, 2021. "Income Risk Inequality: Evidence from Spanish Administrative Records," Working Papers wp2021_2109, CEMFI.
• Felipe Nazare & Alexandre Street, 2021. "Solving Multistage Stochastic Linear Programming via Regularized Linear Decision Rules: An Application to Hydrothermal Dispatch Planning," Papers 2110.03146, arXiv.org, revised Jan 2023.
• 高橋, 宏承 & Takahashi, Hirotsugu, 2021. "シミュレーションによる組織文化の自己強化的サイクルに関する検討, Simulation Approach to Self-Reinforcement Cycle of Organizational Culture," Working Paper Series 246, Management Innovation Research Center, School of Business Administration, Hitotsubashi University Business School.
• Balie, Jean & Valera, Harold Glenn A. & Narayanan Gopalakrishnan, Badri & Pede, Valerien O., 2021. "The impacts of reforming agricultural policy support on cereal prices: A CGE modeling approach," 2021 Annual Meeting, August 1-3, Austin, Texas 313939, Agricultural and Applied Economics Association.
• Alessandro Dalla Benetta & Maciej Sobolewski & Daniel Nepelski, 2021. "AI Watch: 2020 EU AI investments," JRC Research Reports JRC126477, Joint Research Centre.
• Lochner, Benjamin, 2019. "A simple algorithm to link "last hires" from the Job Vacancy Survey to administrative records," FDZ-Methodenreport 201906 (en), Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].