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. 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:

• 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 2021/02, WU Vienna University of Economics and Business.
• 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 202135, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
• Yektansani, Kiana & Azizi, SeyedSoroosh, 2021. "Using Machine Learning to Predict Consumers’ Environmental Attitudes and Beliefs," 2021 Annual Meeting, August 1-3, Austin, Texas 313902, Agricultural and Applied Economics Association.
• Curtis Nybo, 2021. "Sector Volatility Prediction Performance Using GARCH Models and Artificial Neural Networks," Papers 2110.09489, arXiv.org.
• 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 314090, Agricultural and Applied Economics Association.
• Sallin, Aurelién, 2021. "Estimating returns to special education: combining machine learning and text analysis to address confounding," Economics Working Paper Series 2109, University of St. Gallen, School of Economics and Political Science.
• 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 2021/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
• 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 322, Leibniz Institute for Financial Research SAFE.
• Aur'elien Sallin, 2021. "Estimating returns to special education: combining machine learning and text analysis to address confounding," Papers 2110.08807, arXiv.org, revised Feb 2022.
• Lin Li, 2021. "An Automated Portfolio Trading System with Feature Preprocessing and Recurrent Reinforcement Learning," Papers 2110.05299, arXiv.org, revised Oct 2021.
• Bazzana, Davide & Colturato, Michele & Savona, Roberto, 2021. "Learning about Unprecedented Events: Agent-Based Modelling and the Stock Market Impact of COVID-19," FEEM Working Papers 314928, Fondazione Eni Enrico Mattei (FEEM).
• Fritz Breuss, 2021. "A Simple EU Model in EViews," WIFO Working Papers 638, WIFO.
• Emanuele Citera & Shyam Gouri Suresh & Mark Setterfield, 2021. "The network origins of aggregate fluctuations: a demand-side approach," Working Papers 2118, New School for Social Research, Department of Economics.
• Majid Hashemi, 2021. "The Effect of Reliability Improvements on Household Electricity Consumption and Coping Behavior: A Multi-dimensional Approach," Working Paper 1469, Economics Department, Queen's University.
• 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 21-E-12, Bank of Japan.
• 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 2021-53, Stockholm School of Economics, Stockholm China Economic Research Institute.
• Marcel Wieting & Geza Sapi, 2021. "Algorithms in the Marketplace: An Empirical Analysis of Automated Pricing in E-Commerce," Working Papers 21-06, NET Institute.
• 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-02480102, HAL.