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Report NEP-CMP-2022-02-14
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:
- Iuri H. Ferreira & Marcelo C. Medeiros, 2021, "Modeling and Forecasting Intraday Market Returns: a Machine Learning Approach," Papers, arXiv.org, number 2112.15108, Dec.
- Hinterlang, Natascha & Tänzer, Alina, 2021, "Optimal monetary policy using reinforcement learning," Discussion Papers, Deutsche Bundesbank, number 51/2021.
- Maximilien Germain & Mathieu Laurière & Huyên Pham & Xavier Warin, 2022, "DeepSets and their derivative networks for solving symmetric PDEs ," Post-Print, HAL, number hal-03154116, Apr, DOI: 10.1007/s10915-022-01796-w.
- Dylan Herman & Cody Googin & Xiaoyuan Liu & Alexey Galda & Ilya Safro & Yue Sun & Marco Pistoia & Yuri Alexeev, 2022, "A Survey of Quantum Computing for Finance," Papers, arXiv.org, number 2201.02773, Jan, revised Jun 2022.
- Mühlbauer, Sabrina & Weber, Enzo, 2022, "Machine Learning for Labour Market Matching," IAB-Discussion Paper, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], number 202203, Feb, DOI: 10.48720/IAB.DP.2203.
- Xiyang Hu & Yan Huang & Beibei Li & Tian Lu, 2022, "Uncovering the Source of Machine Bias," Papers, arXiv.org, number 2201.03092, Jan.
- Arkadiusz Jędrzejewski & Katarzyna Sznajd-Weron & Jakub Pawłowski & Anna Kowalska-Pyzalska, 2022, "Purchasing decisions on alternative fuel vehicles within the agent-based model," WORking papers in Management Science (WORMS), Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, number WORMS/22/01.
- Andrew Kirillov & Sehyun Chung, 2022, "StableSims: Optimizing MakerDAO Liquidations 2.0 Incentives via Agent-Based Modeling," Papers, arXiv.org, number 2201.03519, Jan.
- Dietrich, Stephan & Meysonnat, Aline & Rosales, Francisco & Cebotari, Victor & Gassmann, Franziska, 2021, "Economic development, weather shocks and child marriage in South Asia: A machine learning approach," MERIT Working Papers, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT), number 2021-034, Sep.
- Elisa Palagi & Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2022, "An agent-based model of trickle-up growth and income inequality," Working Papers, HAL, number halshs-03509091, Jan.
- Donato Masciandaro & Davide Romelli & Gaia Rubera, 2021, "Monetary policy and financial markets: evidence from Twitter traffic," BAFFI CAREFIN Working Papers, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy, number 21160.
- Patsali, Sofia & Pezzoni, Michele & Visentin, Fabiana, 2021, "The impact of research independence on PhD students' careers: Large-scale evidence from France," MERIT Working Papers, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT), number 2021-036, Oct.
- Narita, Yusuke & Yata, Kohei, 2022, "Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules," CEI Working Paper Series, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University, number 2021-05, Jan.
- Brigitte Roth Tran, 2022, "Sellin' in the Rain: Weather, Climate, and Retail Sales," Working Paper Series, Federal Reserve Bank of San Francisco, number 2022-02, Jan, DOI: 10.24148/wp2022-02.