Report NEP-CMP-2022-07-25

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:

• Buckmann, Marcus & Joseph, Andreas, 2022. "An interpretable machine learning workflow with an application to economic forecasting," Bank of England working papers 984, Bank of England.
• Callum Rhys Tilbury, 2022. "Reinforcement Learning for Economic Policy: A New Frontier?," Papers 2206.08781, arXiv.org, revised Feb 2023.
• Farmer, J. Doyne & Axtell, Robert L., 2022. "Agent-Based Modeling in Economics and Finance: Past, Present, and Future," INET Oxford Working Papers 2022-10, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
• Kevin Kamm & Michelle Muniz, 2022. "A novel approach to rating transition modelling via Machine Learning and SDEs on Lie groups," Papers 2205.15699, arXiv.org.
• Karim Barhoumi & Seung Mo Choi & Tara Iyer & Jiakun Li & Franck Ouattara & Mr. Andrew J Tiffin & Jiaxiong Yao, 2022. "Overcoming Data Sparsity: A Machine Learning Approach to Track the Real-Time Impact of COVID-19 in Sub-Saharan Africa," IMF Working Papers 2022/088, International Monetary Fund.
• Kaiser, Caspar & Oparina, Ekaterina & Gentile, Niccolò & Tkatchenko, Alexandre & Clark, Andrew E. & De Neve, Jan-Emmanuel & D’Ambrosio, Conchita, 2022. "Human Wellbeing and Machine Learning," INET Oxford Working Papers 2022-11, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
• Sara B. Heller & Benjamin Jakubowski & Zubin Jelveh & Max Kapustin, 2022. "Machine Learning Can Predict Shooting Victimization Well Enough to Help Prevent It," NBER Working Papers 30170, National Bureau of Economic Research, Inc.
• Diana Gabrielyan & Lenno Uusküla, 2022. "Inflation Expectations And Consumption With Machine Learning," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 142, Faculty of Economics and Business Administration, University of Tartu (Estonia).
• Naphtal Hakizimana & John Karangwa & Jesse Lastunen & Aimable Nsabimana & Innocente Murasi & Lucie Niyigena & Michael Noble & Gemma Wright, 2022. "Tax-benefit microsimulation model in Rwanda: A feasibility study," WIDER Working Paper Series wp-2022-72, World Institute for Development Economic Research (UNU-WIDER).
• Daniel Bjorkegren & Joshua E. Blumenstock & Samsun Knight, 2022. "(Machine) Learning What Policies Value," Papers 2206.00727, arXiv.org.
• Valerio Astuti & Marta Crispino & Marco Langiulli & Juri Marcucci, 2022. "Textual analysis of a Twitter corpus during the COVID-19 pandemics," Questioni di Economia e Finanza (Occasional Papers) 692, Bank of Italy, Economic Research and International Relations Area.
• Majid Ahmadi & Nathan Durst & Jeff Lachman & Mason List & Noah List & John List & Atom Vayalinkal, 2022. "Nothing Propinks Like Propinquity: Using Machine Learning to Estimate the Effects of Spatial Proximity in the Major League Baseball Draft," Artefactual Field Experiments 00758, The Field Experiments Website.
• Veli Andirin & Yusuf Neggers & Mehdi Shadmehr & Jesse M. Shapiro, 2022. "Surveillance of Repression: Theory and Implementation," NBER Working Papers 30167, National Bureau of Economic Research, Inc.