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 issued this report. It is usually issued weekly.

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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 2309.10729, arXiv.org.
• 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 2309.16679, arXiv.org, revised Oct 2023.
• Flavio Calvino & Luca Fontanelli, 2023. "Artificial intelligence, complementary assets and productivity: evidence from French firms," LEM Papers Series 2023/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
• Wilmer Martínez-Rivera & Eliana R. González-Molano & Edgar Caicedo-García, 2023. "Forecasting Inflation from Disaggregated Data: The Colombian case," Borradores de Economia 1251, Banco de la Republica de Colombia.
• Wagner, Joachim, 2023. "Big data analytics and exports: Evidence for manufacturing firms from 27 EU countries," KCG Working Papers 28, Kiel Centre for Globalization (KCG).
• 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 2023/8, Lund University, CIRCLE - Centre for Innovation Research.
• Giuntella, Osea & König, Johannes & Stella, Luca, 2023. "Artificial Intelligence and Workers' Well-Being," IZA Discussion Papers 16485, Institute of Labor Economics (IZA).
• Petru Crudu, 2023. "Long-term effects of early adverse labour market conditions: A Causal Machine Learning approach," Working Papers 2023:21, Department of Economics, University of Venice "Ca' Foscari".
• Ishan S. Khare & Tarun K. Martheswaran & Akshana Dassanaike-Perera, 2023. "Evaluation of Reinforcement Learning Techniques for Trading on a Diverse Portfolio," Papers 2309.03202, arXiv.org, revised Feb 2024.
• Paul Glasserman & Caden Lin, 2023. "Assessing Look-Ahead Bias in Stock Return Predictions Generated By GPT Sentiment Analysis," Papers 2309.17322, arXiv.org.
• Dario Guarascio & Jelena Reljic & Roman Stollinger, 2023. "Artificial Intelligence and Employment: A Look into the Crystal Ball," LEM Papers Series 2023/34, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
• Dario Guarascio & Jelena Reljic & Roman Stoellinger, 2023. "Artificial Intelligence and Employment: A Look into the Crystal Ball," Working Papers in Public Economics 243, Department of Economics and Law, Sapienza University of Roma.
• Stelmakh, Ivan & Rastogi, Charvi & Liu, Ryan & Chawla, Shuchi & Shah, Nihar & Echenique, Federico, 2023. "Cite-seeing and reviewing: A study on citation bias in peer review," Department of Economics, Working Paper Series qt3883h8j1, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
• Julian Ashwin & Aditya Chhabra & Vijayendra Rao, 2023. "Using Large Language Models for Qualitative Analysis can Introduce Serious Bias," Papers 2309.17147, arXiv.org, 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? 277972, International Telecommunications Society (ITS).
• Bruno Carballa-Smichowski & Yassine Lefouili & Andrea Mantovani & Carlo Reggiani, 2023. "Data sharing or algorithm sharing?," Working Papers 23-08, NET Institute.
• Perico Ortiz, Daniel, 2023. "Inflation news coverage, expectations and risk premium," FAU Discussion Papers in Economics 05/2023, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.