Printed from https://ideas.repec.org/n/nep-cmp/2023-04-10.html
Report NEP-CMP-2023-04-10
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:
- Aubry, Mathieu & Kräussl, Roman & Manso, Gustavo & Spaenjers, Christophe, 2023, "Biased auctioneers," CFS Working Paper Series, Center for Financial Studies (CFS), number 692.
- Matthew Dicks & Andrew Paskaramoorthy & Tim Gebbie, 2023, "Many learning agents interacting with an agent-based market model," Papers, arXiv.org, number 2303.07393, Mar, revised Aug 2024.
- Jens Ludwig & Sendhil Mullainathan, 2023, "Machine Learning as a Tool for Hypothesis Generation," NBER Working Papers, National Bureau of Economic Research, Inc, number 31017, Mar.
- Ramos & Pablo Negri & Martín Breitkopf & María Laura Ojeda, 2021, "From International to Regional Commodity Price Pass-through Using Self-Driven Recurrent Networks," Asociación Argentina de Economía Política: Working Papers, Asociación Argentina de Economía Política, number 4513, Nov.
- Yukun Ma, 2023, "Identification-robust inference for the LATE with high-dimensional covariates," Papers, arXiv.org, number 2302.09756, Feb, revised Nov 2025.
- Klauber, Hannah & Koch, Nicolas, 2023, "Determinants of Heat Risk in an Aging Population: A Machine Learning Approach," IZA Discussion Papers, Institute of Labor Economics (IZA), number 15996, Mar.
- Titos Matsakos & Stuart Nield, 2023, "Quantum Monte Carlo simulations for financial risk analytics: scenario generation for equity, rate, and credit risk factors," Papers, arXiv.org, number 2303.09682, Mar, revised Mar 2024.
- Cars Hommes & Sebastian Poledna, 2023, "Analyzing and forecasting economic crises with an agent-based model of the euro area," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 23-013/II, Mar.
- Boian Lazov, 2023, "A Deep Reinforcement Learning Trader without Offline Training," Papers, arXiv.org, number 2303.00356, Mar.
- Matej Steinbacher, 2023, "Predicting Stock Price Movement as an Image Classification Problem," Papers, arXiv.org, number 2303.01111, Mar.
- Alessio Emanuele Biondo, 2023, "Mr.Keynes and the... Complexity! A suggested agent-based version of the General Theory of Employment, Interest and Money," Papers, arXiv.org, number 2303.00889, Mar, revised Mar 2023.
- Luke Sherman & Jonathan Proctor & Hannah Druckenmiller & Heriberto Tapia & Solomon M. Hsiang, 2023, "Global High-Resolution Estimates of the United Nations Human Development Index Using Satellite Imagery and Machine-learning," NBER Working Papers, National Bureau of Economic Research, Inc, number 31044, Mar.
- Naudé, Wim, 2023, "Artificial Intelligence and the Economics of Decision-Making," IZA Discussion Papers, Institute of Labor Economics (IZA), number 16000, Mar.
- Emanuele Dicarlo & Pasquale Recchia & Antonella Tomasi, 2023, "The changes to the Italian tax and welfare system implemented in 2022: fairness and efficiency profiles," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 748, Mar.
- Zhiyang Jia & Stefan Leknes & Sturla A. Løkken, 2023, "Moving beyond expectations. From cohort-component to microsimulation projections," Discussion Papers, Statistics Norway, Research Department, number 999, Mar.
- Flavio Calvino & Luca Fontanelli, 2023, "A portrait of AI adopters across countries: Firm characteristics, assets’ complementarities and productivity," OECD Science, Technology and Industry Working Papers, OECD Publishing, number 2023/02, Apr, DOI: 10.1787/0fb79bb9-en.
- Francesca Borgonovi & Justine Hervé & Helke Seitz, 2023, "Not lost in translation: The implications of machine translation technologies for language professionals and for broader society," OECD Social, Employment and Migration Working Papers, OECD Publishing, number 291, Mar, DOI: 10.1787/e1d1d170-en.
- Singla, Shikhar, 2023, "Regulatory costs and market power," LawFin Working Paper Series, Goethe University, Center for Advanced Studies on the Foundations of Law and Finance (LawFin), number 47.
- Sanjay Bhattacherjee & Palash Sarkar, 2023, "On Using Proportional Representation Methods as Alternatives to Pro-Rata Based Order Matching Algorithms in Stock Exchanges," Papers, arXiv.org, number 2303.09652, Mar, revised Nov 2023.
- Vedant Choudhary & Sebastian Jaimungal & Maxime Bergeron, 2023, "FuNVol: A Multi-Asset Implied Volatility Market Simulator using Functional Principal Components and Neural SDEs," Papers, arXiv.org, number 2303.00859, Mar, revised Dec 2023.
- Stefano Bianchini & Moritz Müller & Pierre Pelletier, 2022, "Artificial intelligence in science: An emerging general method of invention," Post-Print, HAL, number hal-03958025, Dec, DOI: 10.1016/j.respol.2022.104604.
- Sungchul Hong & Jong-June Jeon, 2023, "Uniform Pessimistic Risk and its Optimal Portfolio," Papers, arXiv.org, number 2303.07158, Mar, revised May 2024.
- Jing Xie, 2023, "Identifying Optimal Indicators and Lag Terms for Nowcasting Models," IMF Working Papers, International Monetary Fund, number 2023/045, Mar.
- Mihai Mutascu, 2021, "Artificial intelligence and unemployment: New insights," Post-Print, HAL, number hal-03528263, Mar, DOI: 10.1016/j.eap.2021.01.012.
- Alexia GAUDEUL & Caterina GIANNETTI, 2023, "Trade-offs in the design of financial algorithms," Discussion Papers, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy, number 2023/288, Mar.
- Dessouky, Maged & Mahtab, Zuhayer, 2023, "Flexible Routing for Ridesharing," Institute of Transportation Studies, Working Paper Series, Institute of Transportation Studies, UC Davis, number qt90g88330, Mar.
- Minkyu Shin & Jin Kim & Bas van Opheusden & Thomas L. Griffiths, 2023, "Superhuman Artificial Intelligence Can Improve Human Decision Making by Increasing Novelty," Papers, arXiv.org, number 2303.07462, Mar, revised Apr 2023.
- Alfredo García & Christopher Hartwell & Martín Andrés Szybisz, 2021, "Defying Gravity: The Economic Effects of Social Distancing," Asociación Argentina de Economía Política: Working Papers, Asociación Argentina de Economía Política, number 4477, Nov.
- Jonathan Berrisch & Florian Ziel, 2023, "Multivariate Probabilistic CRPS Learning with an Application to Day-Ahead Electricity Prices," Papers, arXiv.org, number 2303.10019, Mar, revised Feb 2024.
- Gregory de Walque & Thomas Lejeune & Ansgar Rannenberg & Magne Mogstad, 2023, "BEMGIE: Belgian Economy in a Macro General and International Equilibrium model," Working Paper Research, National Bank of Belgium, number 435, Mar.