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Report NEP-CMP-2021-07-12
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:
- Piotr Borowski & Marcin Chlebus, 2021, "Machine learning in the prediction of flat horse racing results in Poland," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2021-13.
- Gennaro Catapano & Francesco Franceschi & Valentina Michelangeli & Michele Loberto, 2021, "Macroprudential Policy Analysis via an Agent Based Model of the Real Estate Sector," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1338, Jun.
- Shafiullah Qureshi & Ba Chu & Fanny S. Demers, 2021, "Forecasting Canadian GDP Growth with Machine Learning," Carleton Economic Papers, Carleton University, Department of Economics, number 21-05, May.
- Janos Gabler & Tobias Raabe & Klara Röhrl & Hans-Martin von Gaudecker, 2021, "The Effectiveness of Strategies to Contain SARS-CoV-2: Testing, Vaccinations, and NPIs," CRC TR 224 Discussion Paper Series, University of Bonn and University of Mannheim, Germany, number crctr224_2021_302, Jun.
- Maria Ludovica Drudi & Stefano Nobili, 2021, "A liquidity risk early warning indicator for Italian banks: a machine learning approach," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1337, Jun.
- Szymon Lis & Marcin Chlebus, 2021, "Comparison of the accuracy in VaR forecasting for commodities using different methods of combining forecasts," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2021-11.
- Giovanni Dosi & Andrea Roventini & Emmanuele Russo, 2020, "Public Policies And The Art Of Catching Up," Working Papers, HAL, number hal-03242369, May.
- Cerqua, Augusto & Letta, Marco, 2021, "Local inequalities of the COVID-19 crisis," GLO Discussion Paper Series, Global Labor Organization (GLO), number 875.
- Buchali, Katrin, 2021, "Price discrimination with inequity-averse consumers: A reinforcement learning approach," Hohenheim Discussion Papers in Business, Economics and Social Sciences, University of Hohenheim, Faculty of Business, Economics and Social Sciences, number 02-2021.
- Niven Winchester & Dominic White, 2021, "The Climate PoLicy ANalysis (C-PLAN) Model, Version 1.0," Working Papers, Auckland University of Technology, Department of Economics, number 2021-04, Jun.
- An Chen & Motonobu Kanagawa & Fangyuan Zhang, 2021, "Intergenerational risk sharing in a Defined Contribution pension system: analysis with Bayesian optimization," Papers, arXiv.org, number 2106.13644, Jun, revised Mar 2023.
- Goller, Daniel & Harrer, Tamara & Lechner, Michael & Wolff, Joachim, 2021, "Active Labour Market Policies for the Long-Term Unemployed: New Evidence from Causal Machine Learning," IZA Discussion Papers, Institute of Labor Economics (IZA), number 14486, Jun.
- Sukjin Han & Eric Schulman & Kristen Grauman & Santhosh Ramakrishnan, 2021, "Shapes as Product Differentiation: Neural Network Embedding in the Analysis of Markets for Fonts," Bristol Economics Discussion Papers, School of Economics, University of Bristol, UK, number 21/750, Jul.
- Roberto Roson & Camille Van der Vorst, 2021, "The COVID crumbling of tourism in Andalusia: an assessment of economic and environmental consequences," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2021: 18.