Printed from https://ideas.repec.org/n/nep-big/2023-10-30.html
Report NEP-BIG-2023-10-30
This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé (Tom Coupe) issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-BIG
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.
- 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.
- 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.
- Wilmer Martínez-Rivera & Eliana R. González-Molano & Edgar Caicedo-García, 2023, "Forecasting Inflation from Disaggregated Data: The Colombian case," Borradores de Economia, Banco de la Republica de Colombia, number 1251, Oct, DOI: 10.32468/be.1251.
- Wagner, Joachim, 2023, "Big data analytics and exports: Evidence for manufacturing firms from 27 EU countries," KCG Working Papers, Kiel Centre for Globalization (KCG), number 28.
- 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.
- Giuntella, Osea & König, Johannes & Stella, Luca, 2023, "Artificial Intelligence and Workers' Well-Being," IZA Discussion Papers, IZA Network @ LISER, number 16485, Sep.
- 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.
- 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.
- 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.
- Dario Guarascio & Jelena Reljic & Roman Stollinger, 2023, "Artificial Intelligence and Employment: A Look into the Crystal Ball," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2023/34, Oct.
- Dario Guarascio & Jelena Reljic & Roman Stoellinger, 2023, "Artificial Intelligence and Employment: A Look into the Crystal Ball," Working Papers in Public Economics, Department of Economics and Law, Sapienza University of Rome, number 243, Oct.
- 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.
- 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.
- 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.
- Bruno Carballa-Smichowski & Yassine Lefouili & Andrea Mantovani & Carlo Reggiani, 2023, "Data sharing or algorithm sharing?," Working Papers, NET Institute, number 23-08, Sep.
- Perico Ortiz, Daniel, 2023, "Inflation news coverage, expectations and risk premium," FAU Discussion Papers in Economics, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics, number 05/2023.