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Report NEP-CMP-2021-10-25
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:
- Zhu, Di & Liu, Yu & Yao, Xin & Fischer, Manfred M., 2021, "Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions," Working Papers in Regional Science, WU Vienna University of Economics and Business, number 2021/02, Oct.
- Erik Heilmann & Janosch Henze & Heike Wetzel, 2021, "Machine learning in energy forecasts with an application to high frequency electricity consumption data," MAGKS Papers on Economics, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung), number 202135.
- Yektansani, Kiana & Azizi, SeyedSoroosh, 2021, "Using Machine Learning to Predict Consumers’ Environmental Attitudes and Beliefs," 2021 Annual Meeting, August 1-3, Austin, Texas, Agricultural and Applied Economics Association, number 313902, Aug, DOI: 10.22004/ag.econ.313902.
- Curtis Nybo, 2021, "Sector Volatility Prediction Performance Using GARCH Models and Artificial Neural Networks," Papers, arXiv.org, number 2110.09489, Oct.
- Atallah, Shadi S., 2021, "Individual environmental preferences and aggregate outcomes: an empirical agent-based model of forest landowner invasive species control," 2021 Annual Meeting, August 1-3, Austin, Texas, Agricultural and Applied Economics Association, number 314090, Aug, DOI: 10.22004/ag.econ.314090.
- Sallin, Aurelién, 2021, "Estimating returns to special education: combining machine learning and text analysis to address confounding," Economics Working Paper Series, University of St. Gallen, School of Economics and Political Science, number 2109, Oct.
- Matteo Coronese & Martina Occelli & Francesco Lamperti & Andrea Roventini, 2021, "AgriLOVE: agriculture, land-use and technical change in an evolutionary, agent-based model," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2021/35, Oct.
- Anese, Gianluca & Corazza, Marco & Costola, Michele & Pelizzon, Loriana, 2021, "Impact of public news sentiment on stock market index return and volatility," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 322.
- Aur'elien Sallin, 2021, "Estimating returns to special education: combining machine learning and text analysis to address confounding," Papers, arXiv.org, number 2110.08807, Oct, revised Feb 2022.
- Lin Li, 2021, "An Automated Portfolio Trading System with Feature Preprocessing and Recurrent Reinforcement Learning," Papers, arXiv.org, number 2110.05299, Oct, revised Oct 2021.
- Bazzana, Davide & Colturato, Michele & Savona, Roberto, , "Learning about Unprecedented Events: Agent-Based Modelling and the Stock Market Impact of COVID-19," FEEM Working Papers, Fondazione Eni Enrico Mattei (FEEM), number 314928, DOI: 10.22004/ag.econ.314928.
- Fritz Breuss, 2021, "A Simple EU Model in EViews," WIFO Working Papers, WIFO, number 638, Oct.
- Emanuele Citera & Shyam Gouri Suresh & Mark Setterfield, 2021, "The network origins of aggregate fluctuations: a demand-side approach," Working Papers, New School for Social Research, Department of Economics, number 2118, Oct.
- Majid Hashemi, 2021, "The Effect of Reliability Improvements on Household Electricity Consumption and Coping Behavior: A Multi-dimensional Approach," Working Paper, Economics Department, Queen's University, number 1469, Oct.
- Jouchi Nakajima & Hiroaki Yamagata & Tatsushi Okuda & Shinnosuke Katsuki & Takeshi Shinohara, 2021, "Extracting Firms' Short-Term Inflation Expectations from the Economy Watchers Survey Using Text Analysis," Bank of Japan Working Paper Series, Bank of Japan, number 21-E-12, Oct.
- Johansson, Anders C. & Zhu, Zhen, 2021, "Reputational Assets and Social Media Marketing Activeness: Empirical Insights from China," Stockholm School of Economics Asia Working Paper Series, Stockholm School of Economics, Stockholm China Economic Research Institute, number 2021-53, Oct.
- Marcel Wieting & Geza Sapi, 2021, "Algorithms in the Marketplace: An Empirical Analysis of Automated Pricing in E-Commerce," Working Papers, NET Institute, number 21-06, Sep.
- Hamza Bouzekri & Gülgün Alpan & Vincent Giard, 2021, "Integrated Laycan and Berth Allocation and time-invariant Quay Crane Assignment Problem in tidal ports with multiple quays," Post-Print, HAL, number hal-02480102, Jan, DOI: 10.1016/j.ejor.2020.12.056.