Printed from https://ideas.repec.org/n/nep-cmp/2023-10-30.html
Report NEP-CMP-2023-10-30
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:
- Masanori Hirano & Ryosuke Takata & Kiyoshi Izumi, 2023, "PAMS: Platform for Artificial Market Simulations," Papers, arXiv.org, number 2309.10729, Sep.
- Nilsson, Magnus & Schubert, Torben & Miörner, Johan, 2023, "The Productivity Effects of Regional Anchors on Local Firms in Swedish Regions between 2007 and 2019 – Evidence from an Expert-informed Machine-Learning Approach," Papers in Innovation Studies, Lund University, CIRCLE - Centre for Innovation Research, number 2023/8, Oct.
- Paraskevi Nousi & Loukia Avramelou & Georgios Rodinos & Maria Tzelepi & Theodoros Manousis & Konstantinos Tsampazis & Kyriakos Stefanidis & Dimitris Spanos & Manos Kirtas & Pavlos Tosidis & Avraam Tsa, 2023, "Leveraging Deep Learning and Online Source Sentiment for Financial Portfolio Management," Papers, arXiv.org, number 2309.16679, Jul, revised Oct 2023.
- Petru Crudu, 2023, "Long-term effects of early adverse labour market conditions: A Causal Machine Learning approach," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2023:21.
- Howell, Bronwyn E. & Potgieter, Petrus H., 2023, "AI-generated lemons: a sour outlook for content producers?," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done?, International Telecommunications Society (ITS), number 277971.
- Hajkowicz, Stefan & Naughtin, Claire & Sanderson, Conrad & Schleiger, Emma & Karimi, Sarvnaz & Bratanova, Alexandra & Bednarz, Tomasz, 2022, "Artificial intelligence for science – adoption trends and future development pathways," MPRA Paper, University Library of Munich, Germany, number 115464, Nov.
- Agar Brugiavini & Petru Crudu, 2023, "The Role of Disability Insurance on the Labour Market Trajectories of Europeans," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2023:20.
- Flavio Calvino & Luca Fontanelli, 2023, "Artificial intelligence, complementary assets and productivity: evidence from French firms," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2023/35, Oct.
- Ishan S. Khare & Tarun K. Martheswaran & Akshana Dassanaike-Perera, 2023, "Evaluation of Reinforcement Learning Techniques for Trading on a Diverse Portfolio," Papers, arXiv.org, number 2309.03202, Jun, revised Feb 2024.
- Thomas Cantens, 2023, "How will the State think with the assistance of ChatGPT? The case of customs as an example of generative artificial intelligence in public administrations," CERDI Working papers, HAL, number hal-04233370, Sep.
- Howell, Bronwyn E. & Potgieter, Petrus H., 2023, "What do telecommunications policy academics have to fear from GPT-3?," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done?, International Telecommunications Society (ITS), number 277972.
- Stelmakh, Ivan & Rastogi, Charvi & Liu, Ryan & Chawla, Shuchi & Echenique, Federico & Shah, Nihar B, 2023, "Cite-seeing and reviewing: A study on citation bias in peer review," Department of Economics, Working Paper Series, Department of Economics, Institute for Business and Economic Research, UC Berkeley, number qt3883h8j1, Jan.
- Giuntella, Osea & König, Johannes & Stella, Luca, 2023, "Artificial Intelligence and Workers' Well-Being," IZA Discussion Papers, Institute of Labor Economics (IZA), number 16485, Sep.
- Paul Glasserman & Caden Lin, 2023, "Assessing Look-Ahead Bias in Stock Return Predictions Generated By GPT Sentiment Analysis," Papers, arXiv.org, number 2309.17322, Sep.
- Anmol Bhandari & Thomas Bourany & David Evans & Mikhail Golosov, 2023, "A Perturbational Approach for Approximating Heterogeneous Agent Models," NBER Working Papers, National Bureau of Economic Research, Inc, number 31744, Sep.
- Zaytsev, Aleksey (Зайцев, Алексей), 2023, "An algorithm for quickly finding long-term equilibria in models of overlapping generations
[Алгоритм Быстрого Нахождения Долгосрочных Равновесий В Моделях Пересекающихся Поколений]," Working Papers, Russian Presidential Academy of National Economy and Public Administration, number w20220230, May. - Julian Ashwin & Aditya Chhabra & Vijayendra Rao, 2023, "Using Large Language Models for Qualitative Analysis can Introduce Serious Bias," Papers, arXiv.org, number 2309.17147, Sep, revised Oct 2023.
- S. M. Masrur Ahmed, 2023, "Sizing Strategies for Algorithmic Trading in Volatile Markets: A Study of Backtesting and Risk Mitigation Analysis," Papers, arXiv.org, number 2309.09094, Sep, revised Sep 2023.
- Fourberg, Niklas & Marques Magalhaes, Katrin & Wiewiorra, Lukas, 2023, "They Are Among Us: Pricing Behavior of Algorithms in the Field," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done?, International Telecommunications Society (ITS), number 277958.
- Victoria Angelova & Will S. Dobbie & Crystal Yang, 2023, "Algorithmic Recommendations and Human Discretion," NBER Working Papers, National Bureau of Economic Research, Inc, number 31747, Sep.
- Seemann, Michael, 2023, "Künstliche Intelligenz, Large Language Models, ChatGPT und die Arbeitswelt der Zukunft," Working Paper Forschungsförderung, Hans-Böckler-Stiftung, Düsseldorf, number 304.
- Shahriar Akter & Saida Sultana & Marcello Mariani & Samuel Fosso Wamba & Konstantina Spanaki & Yogesh Dwivedi, 2023, "Advancing algorithmic bias management capabilities in AI-driven marketing analytics research," Post-Print, HAL, number hal-04194438, Oct, DOI: 10.1016/j.indmarman.2023.08.013.