Report NEP-CMP-2020-11-30

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:

• Alberto Cardaci & Francesco Saraceno, 2019. "Inequality and imbalances: a monetary union agent-based model," SciencePo Working papers Main hal-03403551, HAL.
• Sangeeta Khorana & Badri Narayanan G & Nicholas Perdikis, 2019. "Modelling the Long Term Potential Macroeconomic Impact of Brexit on Wales," BAFES Working Papers BAFES27, Department of Accounting, Finance & Economic, Bournemouth University.
• Gusarov, N. & Talebijmalabad, A. & Joly, I., 2020. "Exploration of model performances in the presence of heterogeneous preferences and random effects utilities awareness," Working Papers 2020-12, Grenoble Applied Economics Laboratory (GAEL).
• Adam Bouland & Wim van Dam & Hamed Joorati & Iordanis Kerenidis & Anupam Prakash, 2020. "Prospects and challenges of quantum finance," Papers 2011.06492, arXiv.org.
• Krystian Andruszek & Piotr Wójcik, 2020. "Predicting well-being based on features visible from space – the case of Warsaw," Working Papers 2020-37, Faculty of Economic Sciences, University of Warsaw.
• Martin Johnsen & Oliver Brandt & Sergio Garrido & Francisco C. Pereira, 2020. "Population synthesis for urban resident modeling using deep generative models," Papers 2011.06851, arXiv.org.
• Patrick Mellacher, 2020. "COVID-Town: An Integrated Economic-Epidemiological Agent-Based Model," Papers 2011.06289, arXiv.org.
• León, José Antonio & Ordaz, Mario & Haddad, Eduardo & Araújo, Inácio, 2020. "Riesgo Causado por la Propagación de las Pérdidas por Terremoto a través de la Economía Mediante el uso de Modelos CGE Espaciales," TD NEREUS 13-2020, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
• Jikhan Jeong, 2020. "Identifying Consumer Preferences from User- and Crowd-Generated Digital Footprints on Amazon.com by Leveraging Machine Learning and Natural Language Processing," 2020 Papers pje208, Job Market Papers.
• Koenen, Melissa & Balvert, Marleen & Brekelmans, Ruud & Stienen, Valentijn & Wagenaar, J.C., 2020. "Forecasting the Spread of SARS-CoV-2 is inherently Ambiguous given the Current State of Virus Research," Discussion Paper 2020-026, Tilburg University, Center for Economic Research.
• Piotr Wójcik & Bartłomiej Wieczorek, 2020. "We have just explained real convergence factors using machine learning," Working Papers 2020-38, Faculty of Economic Sciences, University of Warsaw.
• Item repec:spo:wpmain:info:hdl:2441/6neh4df2kq9orrjiscv6839f6n is not listed on IDEAS anymore

• Parisi, Laura & Chalamandaris, Dimitrios & Amamou, Raschid & Torstensson, Pär & Baumann, Andreas, 2020. "Liquidity in resolution: estimating possible liquidity gaps for specific banks in resolution and in a systemic crisis," Occasional Paper Series 250, European Central Bank.
• Mantas Radzvilas & Francesco De Pretis & William Peden & Daniele Tortoli & Barbara Osimani, 2020. "Double blind vs. open review: an evolutionary game logit-simulating the behavior of authors and reviewers," Papers 2011.07797, arXiv.org.
• Sidra Mehtab & Jaydip Sen & Subhasis Dasgupta, 2020. "Robust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Models," Papers 2011.08011, arXiv.org, revised Jan 2021.
• Shao, Yongtong & Xiong, Tao & Li, Minghao & Hayes, Dermot & Zhang, Wendong & Xie, Wei, 2020. "China's Missing Pigs: Correcting China's Hog Inventory Data Using a Machine Learning Approach," ISU General Staff Papers 202001010800001619, Iowa State University, Department of Economics.
• Shawn K. McGuire & Charles B. Delahunt, 2020. "Predicting United States Policy Outcomes with Random Forests," Working Papers Series inetwp138, Institute for New Economic Thinking.
• Martin Spielauer & Thomas Horvath & Marian Fink & Gemma Abio & Guadalupe Souto Nieves & Concepció Patxot & Tanja Istenič, 2020. "microWELT: Microsimulation Projection of Full Generational Accounts for Austria and Spain," WIFO Working Papers 618, WIFO.
• Item repec:spo:wpmain:info:hdl:2441/3s3jn8tt5h9mab7fo128gecbhj is not listed on IDEAS anymore

• Minford, Patrick & Gai, Yue & Meenagh, David, 2020. "North and South: A Regional Model of the UK," Cardiff Economics Working Papers E2020/14, Cardiff University, Cardiff Business School, Economics Section.
• Jiafeng Chen & Daniel L. Chen & Greg Lewis, 2020. "Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models," Papers 2011.06158, arXiv.org, revised Jun 2021.