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Report NEP-CMP-2023-07-17
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:
- Zihan Chen & Lei Nico Zheng & Cheng Lu & Jialu Yuan & Di Zhu, 2023, "ChatGPT Informed Graph Neural Network for Stock Movement Prediction," Papers, arXiv.org, number 2306.03763, May, revised Sep 2023.
- Hendriks, Patrick & Sturm, Timo & Olt, Christian M. & Buxmann, Peter, 2023, "The Impact of Human-Artificial Intelligence Partnerships on Organizational Learning," Publications of Darmstadt Technical University, Institute for Business Studies (BWL), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 138376, Jun.
- Vetter, Oliver A. & Mehler, Maren F. & Buxmann, Peter, 2023, "As Much Art as Science - Examining the Realization of Business Models Driven by Machine Learning Through a Dynamic Capabilities Perspective," Publications of Darmstadt Technical University, Institute for Business Studies (BWL), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 138319.
- von Schenk, Alicia & Klockmann, Victor & Bonnefon, Jean-François & Rahwan, Iyad & Köbis, Nils, 2023, "Lie-detection algorithms attract few users but vastly increase accusation rates," TSE Working Papers, Toulouse School of Economics (TSE), number 23-1448, Jun.
- von Schenk, Alicia & Klockmann, Victor & Bonnefon, Jean-François & Rahwan, Iyad & Köbis, Nils, 2023, "Lie-detection algorithms attract few users but vastly increase accusation rates," IAST Working Papers, Institute for Advanced Study in Toulouse (IAST), number 23-155, Jun.
- Dylan Brewer & Alyssa Carlson, 2023, "Addressing Sample Selection Bias for Machine Learning Methods," Working Papers, Department of Economics, University of Missouri, number 2310, Jun.
- Item repec:ags:aaea22:335782 is not listed on IDEAS anymore
- Shadi Haj-Yahia & Omar Mansour & Tomer Toledo, 2023, "Incorporating Domain Knowledge in Deep Neural Networks for Discrete Choice Models," Papers, arXiv.org, number 2306.00016, May.
- Jan-Peter Kucklick & Jennifer Priefer & Daniel Beverungen & Oliver Müller, 2023, "Elucidating the Predictive Power of Search and Experience Qualities for Pricing of Complex Goods – A Machine Learning-based Study on Real Estate Appraisal," Working Papers Dissertations, Paderborn University, Faculty of Business Administration and Economics, number 112, Jun.
- Item repec:ags:aaea22:335809 is not listed on IDEAS anymore
- Michael Cafarella & Gabriel Ehrlich & Tian Gao & John C. Haltiwanger & Matthew D. Shapiro & Laura Zhao, 2023, "Using Machine Learning to Construct Hedonic Price Indices," NBER Working Papers, National Bureau of Economic Research, Inc, number 31315, Jun.
- Philippe Goulet Coulombe & Maximilian Goebel, 2023, "Maximally Machine-Learnable Portfolios," Papers, arXiv.org, number 2306.05568, Jun, revised Apr 2024.
- Julián Alonso Cárdenas-Cárdenas & Deicy J. Cristiano-Botia & Nicolás Martínez-Cortés, 2023, "Colombian inflation forecast using Long Short-Term Memory approach," Borradores de Economia, Banco de la Republica de Colombia, number 1241, Jun, DOI: 10.32468/be.1241.
- Lorenzo Bretscher & Jesús Fernández-Villaverde & Simon Scheidegger, 2023, "Ricardian Business Cycles," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 23-43, Jan.
- Jesús Fernández-Villaverde & Isaiah J. Hull, 2023, "Dynamic Programming in Economics on a Quantum Annealer," NBER Working Papers, National Bureau of Economic Research, Inc, number 31326, Jun.
- Ilias Chronopoulos & Katerina Chrysikou & George Kapetanios & James Mitchell & Aristeidis Raftapostolos, 2023, "Deep Neural Network Estimation in Panel Data Models," Papers, arXiv.org, number 2305.19921, May.
- Mukherjee, Krishnendu, 2023, "Layer: An Alternative Approach To Solve Large Capacitated Vehicle Routing Problem with Time Window Using AI and Exact Method," MPRA Paper, University Library of Munich, Germany, number 117513, Jun, revised 12 Jun 2023.
- Mehler, Maren F. & Vetter, Oliver A., 2023, "How Much Are Machine Assistants Worth? Willingness to Pay for Machine Learning-Based Software Testing," Publications of Darmstadt Technical University, Institute for Business Studies (BWL), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 138317, Jun.
- Severin Reissl & Alessandro Caiani & Francesco Lamperti & Mattia Guerini & Fabio Vanni & Giorgio Fagiolo & Tommaso Ferraresi & Leonardo Ghezzi & Mauro Napoletano & Andrea Roventini, 2021, "Assessing the Economic Impact of Lockdowns in Italy: A Computational Input-Output Approach," Sciences Po Economics Publications (main), HAL, number hal-04103906, Oct.
- Zazueta, Jorge & Zazueta-Hernández, Jorge & Heredia, Andrea Chavez, 2023, "Support Vector Machines and Bankruptcy Prediction," SocArXiv, Center for Open Science, number 7z24k, Jun, DOI: 10.31219/osf.io/7z24k.
- Jiti Gao & Fei Liu & Bin Peng & Yanrong Yang, 2023, "Localized Neural Network Modelling of Time Series: A Case Study on US Monetary Policy," Papers, arXiv.org, number 2306.05593, Jun, revised Jul 2024.
- Andor, Mark Andreas & Bernstein, David H. & Parmeter, Christopher F. & Sommer, Stephan, 2023, "Internal meta-analysis for Monte Carlo simulations," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 997, DOI: 10.4419/9697316.
- Andrea Borsato & Andre Lorentz, 2023, "Open Science vs. Mission-oriented Policies and the Long-run Dynamics of Integrated Economies: An Agent-based Model with a Kaldorian Flavour," Working Papers of BETA, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg, number 2023-17.
- Marica Valente & Timm Gries & Lorenzo Trapani, 2023, "Informal employment from migration shocks," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2023-09, Sep.
- Simon Hirsch & Florian Ziel, 2023, "Multivariate Simulation-based Forecasting for Intraday Power Markets: Modelling Cross-Product Price Effects," Papers, arXiv.org, number 2306.13419, Jun.