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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. 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:
- Item repec:spo:wpmain:info:hdl:2441/e222osgnt859os6g897r4ju4u is not listed on IDEAS anymore
- Sangeeta Khorana & Badri Narayanan G & Nicholas Perdikis, 2019, "Modelling the Long Term Potential Macroeconomic Impact of Brexit on Wales," BAFES Working Papers, Department of Accounting, Finance & Economic, Bournemouth University, number BAFES27, Feb.
- Gusarov, N. & Talebijmalabad, A. & Joly, I., 2020, "Exploration of model performances in the presence of heterogeneous preferences and random effects utilities awareness," Working Papers, Grenoble Applied Economics Laboratory (GAEL), number 2020-12.
- Adam Bouland & Wim van Dam & Hamed Joorati & Iordanis Kerenidis & Anupam Prakash, 2020, "Prospects and challenges of quantum finance," Papers, arXiv.org, number 2011.06492, Nov.
- Krystian Andruszek & Piotr Wójcik, 2020, "Predicting well-being based on features visible from space – the case of Warsaw," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2020-37.
- Martin Johnsen & Oliver Brandt & Sergio Garrido & Francisco C. Pereira, 2020, "Population synthesis for urban resident modeling using deep generative models," Papers, arXiv.org, number 2011.06851, Nov.
- Patrick Mellacher, 2020, "COVID-Town: An Integrated Economic-Epidemiological Agent-Based Model," Papers, arXiv.org, number 2011.06289, Nov.
- José Antonio León & Mario Ordaz & Eduardo Haddad & Inácio Araújo, 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, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS), number 13-2020, Nov.
- 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, Job Market Papers, number pje208, Nov.
- 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, Tilburg University, Center for Economic Research, number 2020-026.
- Piotr Wójcik & Bartłomiej Wieczorek, 2020, "We have just explained real convergence factors using machine learning," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2020-38.
- 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, European Central Bank, number 250, Nov.
- 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, arXiv.org, number 2011.07797, Nov.
- Sidra Mehtab & Jaydip Sen & Subhasis Dasgupta, 2020, "Robust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Models," Papers, arXiv.org, number 2011.08011, Nov, 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, Iowa State University, Department of Economics, number 202001010800001619, Jan.
- Shawn K. McGuire & Charles B. Delahunt, 2020, "Predicting United States Policy Outcomes with Random Forests," Working Papers Series, Institute for New Economic Thinking, number inetwp138, Oct, DOI: 10.36687/inetwp138.
- 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, WIFO, number 618, Nov.
- 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, Cardiff University, Cardiff Business School, Economics Section, number E2020/14, Nov.
- Jiafeng Chen & Daniel L. Chen & Greg Lewis, 2020, "Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models," Papers, arXiv.org, number 2011.06158, Nov, revised Jun 2021.