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Report NEP-CMP-2021-05-24
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:
- Dave Cliff, 2021, "BBE: Simulating the Microstructural Dynamics of an In-Play Betting Exchange via Agent-Based Modelling," Papers, arXiv.org, number 2105.08310, May.
- Maliar, Serguei, 2020, "Deep Learning Classification: Modeling Discrete Labor Choice," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15346, Oct.
- Goutham Gopalakrishna, 2021, "ALIENs and Continuous Time Economies," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 21-34, May.
- Sean Cao & Wei Jiang & Junbo L. Wang & Baozhong Yang, 2021, "From Man vs. Machine to Man + Machine: The Art and AI of Stock Analyses," NBER Working Papers, National Bureau of Economic Research, Inc, number 28800, May.
- Taylor, Mark & Filippou, Ilias & Rapach, David & Zhou, Guofu, 2020, "Exchange Rate Prediction with Machine Learning and a Smart Carry Trade Portfolio," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15305, Sep.
- Gobillon, Laurent & Combes, Pierre-Philippe & Zylberberg, Yanos, 2020, "Urban economics in a historical perspective: Recovering data with machine learning," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15308, Sep.
- Kang, J. & Reiner, D., 2021, "Identifying residential consumption patterns using data-mining techniques: A large-scale study of smart meter data in Chengdu, China," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2143, May.
- Ahlfeldt, Gabriel & Albers, Thilo & Behrens, Kristian, 2022, "Prime locations," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15470, Mar.
- Philippe Baumard, 2019, "Quand l’intelligence artificielle théorisera les organisations," Post-Print, HAL, number hal-03218196, Nov, DOI: 10.3166/rfg.2020.00409.
- Giorgia Callegaro & Alessandro Gnoatto & Martino Grasselli, 2021, "A Fully Quantization-based Scheme for FBSDEs," Papers, arXiv.org, number 2105.09276, May.
- Kang, J. & Reiner, D., 2021, "Machine Learning on residential electricity consumption: Which households are more responsive to weather?," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2142, May.
- Laurence Carassus & Massinissa Ferhoune, 2021, "Efficient approximations for utility-based pricing," Papers, arXiv.org, number 2105.08804, May, revised Feb 2024.
- Rhodes, Andrew & Johnson, Justin & Wildenbeest, Matthijs, 2020, "Platform Design When Sellers Use Pricing Algorithms," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15504, Nov.
- Farzan Soleymani & Eric Paquet, 2021, "Deep Graph Convolutional Reinforcement Learning for Financial Portfolio Management -- DeepPocket," Papers, arXiv.org, number 2105.08664, May.
- Gries, Thomas & Naudé, Wim, 2021, "The Race of Man and Machine: Implications of Technology When Abilities and Demand Constraints Matter," IZA Discussion Papers, Institute of Labor Economics (IZA), number 14341, Apr.
- Mohsen Asgari & Hossein Khasteh, 2021, "Profitable Strategy Design for Trades on Cryptocurrency Markets with Machine Learning Techniques," Papers, arXiv.org, number 2105.06827, May, revised Jun 2022.
- Hodler, Roland & Lechner, Michael & Raschky, Paul, 2020, "Reassessing the Resource Curse using Causal Machine Learning," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15272, Sep.
- Pérez-Quirós, Gabriel & Diaz, Elena, 2020, "Daily Tracker of Global Economic Activity. A Close-Up of the Covid-19 Pandemic," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15451, Nov.
- Item repec:rza:wpaper:840 is not listed on IDEAS anymore
- Haoran Wang & Shi Yu, 2021, "Robo-Advising: Enhancing Investment with Inverse Optimization and Deep Reinforcement Learning," Papers, arXiv.org, number 2105.09264, May.
- Köbis, Nils & Bonnefon, Jean-François & Rahwan, Iyad, 2021, "Bad machines corrupt good morals," TSE Working Papers, Toulouse School of Economics (TSE), number 21-1212, May.
- Assad, Stephanie & Calvano, Emilio & Calzolari, Giacomo & Clark, Robert & Ershov, Daniel & Johnson, Justin & Pastorello, Sergio & Rhodes, Andrew & XU, Lei & Wildenbeest, Matthijs & Denicolò, Vincenzo, 2021, "Autonomous algorithmic collusion: Economic research and policy implications," TSE Working Papers, Toulouse School of Economics (TSE), number 21-1210, Mar.
- Hansen, Stephen & Davis, Steven & Seminario-Amez, Cristhian, 2020, "Firm-level Risk Exposures and Stock Returns in the Wake of COVID-19," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15314, Sep.
- Ghysels, Eric & Babii, Andrii & Chen, Xi & Kumar, Rohit, 2020, "Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15418, Oct.
- Steve J. Bickley & Benno Torgler, 2021, "Behavioural Economics, What Have we Missed? Exploring “Classical” Behavioural Economics Roots in AI, Cognitive Psychology, and Complexity Theory," CREMA Working Paper Series, Center for Research in Economics, Management and the Arts (CREMA), number 2021-21, May.
- Adams-Prassl, Abigail & Balgova, Maria & Qian, Matthias, 2020, "Flexible Work Arrangements in Low Wage Jobs: Evidence from Job Vacancy Data," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15263, Sep.
- Lechtenberg, Sandra & Hellingrath, Bernd, 2021, "Applications of artificial intelligence in supply chain management: Identification of main research fields and greatest industry interests," ERCIS Working Papers, University of Münster, European Research Center for Information Systems (ERCIS), number 37.
- Crampes, Claude & Lefouili, Yassine, 2021, "Green Energy Pricing for Digital Europe," TSE Working Papers, Toulouse School of Economics (TSE), number 21-1209, May.