Report NEP-CMP-2023-01-30

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:

• Isaac Tamblyn & Tengkai Yu & Ian Benlolo, 2023. "fintech-kMC: Agent based simulations of financial platforms for design and testing of machine learning systems," Papers 2301.01807, arXiv.org.
• Jinan Zou & Qingying Zhao & Yang Jiao & Haiyao Cao & Yanxi Liu & Qingsen Yan & Ehsan Abbasnejad & Lingqiao Liu & Javen Qinfeng Shi, 2022. "Stock Market Prediction via Deep Learning Techniques: A Survey," Papers 2212.12717, arXiv.org, revised Feb 2023.
• Huy^en Pham & Xavier Warin, 2022. "Mean-field neural networks-based algorithms for McKean-Vlasov control problems ," Papers 2212.11518, arXiv.org, revised Mar 2024.
• Matteo Burzoni & Alessandro Doldi & Enea Monzio Compagnoni, 2022. "Risk Sharing with Deep Neural Networks," Papers 2212.11752, arXiv.org, revised Jun 2023.
• Mattia Di Russo & Zakaria Babutsidze & Célia da Costa Pereira & Maurizio Iacopetta & Andrea G. B. Tettamanzi, 2022. "Agent-Based Modeling for Studying the Spontaneous Emergence of Money," Post-Print hal-03913561, HAL.
• Jeremi Assael & Thibaut Heurtebize & Laurent Carlier & Franc{c}ois Soup'e, 2022. "Greenhouse gases emissions: estimating corporate non-reported emissions using interpretable machine learning," Papers 2212.10844, arXiv.org.
• Eric Innocenti & Corinne Idda & Dominique Prunetti & Pierre-Régis Gonsolin, 2022. "Agent-based modelling of a small-scale fishery in Corsica," Post-Print hal-03886619, HAL.
• Thegeya, Aaron & Mitterling, Thomas & Martinez Jr., Arturo & Bulan, Joseph & Durante, Ron Lester & Mag-atas, Jayzon, 2022. "Application of Machine Learning Algorithms on Satellite Imagery for Road Quality Monitoring: An Alternative Approach to Road Quality Surveys," ADB Economics Working Paper Series 675, Asian Development Bank.
• Giovanni Dosi & Francesco Lamperti & Mariana Mazzucato & Mauro Napoletano & Andrea Roventini, 2021. "Mission-Oriented Policies and the “Entrepreneurial State” at Work: An Agent-Based Exploration," SciencePo Working papers Main hal-03300295, HAL.
• Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2021. "An agent-based model of trickle-up growth and income inequality," SciencePo Working papers Main hal-03373193, HAL.
• Elias Asproudis & Cigdem Gedikli & Oleksandr Talavera & Okan Yilmaz, 2023. "Returns to Solar Panels in the Housing Market: A Meta Learner Approach," Discussion Papers 23-01, Department of Economics, University of Birmingham.
• Tim Johnson & Nick Obradovich, 2022. "Measuring an artificial intelligence agent's trust in humans using machine incentives," Papers 2212.13371, arXiv.org.
• Luca Eduardo Fierro & Federico Giri & Alberto Russo, 2023. "Inequality-Constrained Monetary Policy in a Financialized Economy," Working Papers 2023/02, Economics Department, Universitat Jaume I, Castellón (Spain).
• Margarita Leib & Nils Kobis & Rainer Michael Rilke & Marloes Hagens & Bernd Irlenbusch, 2023. "Corrupted by Algorithms? How AI-generated and Human-written Advice Shape (Dis)honesty," Papers 2301.01954, arXiv.org.
• Anna G. Hughes & Jack S. Baker & Santosh Kumar Radha, 2023. "A Quantum-Inspired Binary Optimization Algorithm for Representative Selection," Papers 2301.01836, arXiv.org.
• Severin Reissl & Alessandro Caiani & Francesco Lamperti & Mattia Guerini & Fabio Vanni & Giorgio Fagiolo & Tommaso Ferraresi & Leonardo Ghezzi & Mauro Napoletano & Andrea Roventini, 2021. "Assessing the economic impact of lockdowns in Italy: a computational input-output approach," SciencePo Working papers Main hal-03373672, HAL.
• Marco Battaglini & Luigi Guiso & Chiara Lacava & Douglas L. Miller & Eleonora Patacchini, 2022. "Refining Public Policies with Machine Learning: The Case of Tax Auditing," NBER Working Papers 30777, National Bureau of Economic Research, Inc.
• Nellie Zhang, 2023. "Simulating Intraday Transactions in the Canadian Retail Batch System," Staff Working Papers 23-1, Bank of Canada.
• Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2023. "Bayesian Modeling of Time-Varying Parameters Using Regression Trees," Working Papers 23-05, Federal Reserve Bank of Cleveland.
• Hans Fehr & Adrian Fröhlich, 2022. "Optimal Retirement with Disability Pensions," CESifo Working Paper Series 10166, CESifo.
• Ida Nervik Hjelseth & Arvid Raknerud & Bjørn H. Vatne, 2022. "A bankruptcy probability model for assessing credit risk on corporate loans with automated variable selection," Working Paper 2022/7, Norges Bank.
• d'Artis Kancs, 2022. "Enhancing Resilience: Model-based Simulations," Papers 2212.11108, arXiv.org.
• Debuque-Gonzales, Margarita & Corpus, John Paul P., 2022. "Let’s Get Fiscal: Extending the Small Macroeconometric Model of the Philippine Economy," Discussion Papers DP 2022-43, Philippine Institute for Development Studies.