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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. 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:
- Isaac Tamblyn & Tengkai Yu & Ian Benlolo, 2023, "fintech-kMC: Agent based simulations of financial platforms for design and testing of machine learning systems," Papers, arXiv.org, number 2301.01807, Jan.
- 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, arXiv.org, number 2212.12717, Dec, revised Feb 2023.
- Huy^en Pham & Xavier Warin, 2022, "Mean-field neural networks-based algorithms for McKean-Vlasov control problems ," Papers, arXiv.org, number 2212.11518, Dec, revised Mar 2024.
- Matteo Burzoni & Alessandro Doldi & Enea Monzio Compagnoni, 2022, "Risk Sharing with Deep Neural Networks," Papers, arXiv.org, number 2212.11752, Dec, 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, number hal-03913561, Nov.
- 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, arXiv.org, number 2212.10844, Dec.
- Eric Innocenti & Corinne Idda & Dominique Prunetti & Pierre-Régis Gonsolin, 2022, "Agent-based modelling of a small-scale fishery in Corsica," Post-Print, HAL, number hal-03886619, Sep, DOI: 10.46354/i3m.2022.sesde.005.
- Aaron Thegeya & Thomas Mitterling & Arturo Martinez Jr. & Joseph Bulan & Ron Lester Durante & Jayzon Mag-atas, 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, Asian Development Bank, number 675, Dec.
- Giovanni Dosi & Francesco Lamperti & Mariana Mazzucato & Mauro Napoletano & Andrea Roventini, 2021, "Mission-Oriented Policies and the “Entrepreneurial State” at Work: An Agent-Based Exploration," Sciences Po Economics Publications (main), HAL, number hal-03300295, Jan.
- Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2021, "An agent-based model of trickle-up growth and income inequality," Sciences Po Economics Publications (main), HAL, number hal-03373193, Jan.
- Elias Asproudis & Cigdem Gedikli & Oleksandr Talavera & Okan Yilmaz, 2023, "Returns to Solar Panels in the Housing Market: A Meta Learner Approach," Discussion Papers, Department of Economics, University of Birmingham, number 23-01, Jan.
- Tim Johnson & Nick Obradovich, 2022, "Measuring an artificial intelligence agent's trust in humans using machine incentives," Papers, arXiv.org, number 2212.13371, Dec.
- Luca Eduardo Fierro & Federico Giri & Alberto Russo, 2023, "Inequality-Constrained Monetary Policy in a Financialized Economy," Working Papers, Economics Department, Universitat Jaume I, Castellón (Spain), number 2023/02.
- 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, arXiv.org, number 2301.01954, Jan.
- Anna G. Hughes & Jack S. Baker & Santosh Kumar Radha, 2023, "A Quantum-Inspired Binary Optimization Algorithm for Representative Selection," Papers, arXiv.org, number 2301.01836, Jan.
- 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," Sciences Po Economics Publications (main), HAL, number hal-03373672, Jan.
- 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, National Bureau of Economic Research, Inc, number 30777, Dec.
- Nellie Zhang, 2023, "Simulating Intraday Transactions in the Canadian Retail Batch System," Staff Working Papers, Bank of Canada, number 23-1, Jan, DOI: 10.34989/swp-2023-1.
- Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2023, "Bayesian Modeling of Time-Varying Parameters Using Regression Trees," Working Papers, Federal Reserve Bank of Cleveland, number 23-05, Jan, DOI: 10.26509/frbc-wp-202305.
- Hans Fehr & Adrian Fröhlich, 2022, "Optimal Retirement with Disability Pensions," CESifo Working Paper Series, CESifo, number 10166.
- 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, Norges Bank, number 2022/7, Jun.
- d'Artis Kancs, 2022, "Enhancing Resilience: Model-based Simulations," Papers, arXiv.org, number 2212.11108, Dec.
- Debuque-Gonzales,Margarita & Corpus,JohnPaulP., 2022, "Let’s Get Fiscal: Extending the Small Macroeconometric Model of the Philippine Economy," Discussion Papers, Philippine Institute for Development Studies, number DP 2022-43, DOI: https://doi.org/10.62986/dp2022.43.