Report NEP-BIG-2022-06-13

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:

• Joshua S. Gans, 2022. "AI Adoption in a Competitive Market," NBER Working Papers 29996, National Bureau of Economic Research, Inc.
• Shrey Jain & Camille Bruckmann & Chase McDougall, 2022. "NFT Appraisal Prediction: Utilizing Search Trends, Public Market Data, Linear Regression and Recurrent Neural Networks," Papers 2204.12932, arXiv.org.
• Joshua S. Gans, 2022. "AI Adoption in a Monopoly Market," NBER Working Papers 29995, National Bureau of Economic Research, Inc.
• Lukas Janasek, 2022. "Acquisition of Costly Information in Data-Driven Decision Making," Working Papers IES 2022/10, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised May 2022.
• Ravi Kumar & Shahin Boluki & Karl Isler & Jonas Rauch & Darius Walczak, 2022. "Machine Learning based Framework for Robust Price-Sensitivity Estimation with Application to Airline Pricing," Papers 2205.01875, arXiv.org, revised Dec 2022.
• Leogrande, Angelo & Magaletti, Nicola & Cosoli, Gabriele & Giardinelli, Vito O. M. & Massaro, Alessandro, 2022. "The Determinants of Internet User Skills in Europe," MPRA Paper 113123, University Library of Munich, Germany.
• Maysa M. Garcia de Macedo & Wyatt Clarke & Eli Lucherini & Tyler Baldwin & Dilermando Queiroz Neto & Rogerio de Paula & Subhro Das, 2022. "Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics," Papers 2205.09508, arXiv.org.
• Michael Kitchner & Nandini Anantharama & Simon Angus & Paul A. Raschky, 2022. "Predicting Political Ideology from Digital Footprints," SoDa Laboratories Working Paper Series 2022-01, Monash University, SoDa Laboratories.
• Michael Kitchener & Nandini Anantharama & Simon D. Angus & Paul A. Raschky, 2022. "Predicting Political Ideology from Digital Footprints," Monash Economics Working Papers 2022-12, Monash University, Department of Economics.
• agarwal, shekhar & Dutta, Madhurima & Dutta, Ritvik & Krishna, Vijesh, 2022. "Leveraging Artificial Intelligence in the Cyber Workplace: Prospects and Limitations for the Cyber Economy," Thesis Commons 4yr8j, Center for Open Science.
• Dim, Chukwuma & Koerner, Kevin & Wolski, Marcin & Zwart, Sanne, 2022. "Hot off the press: News-implied sovereign default risk," EIB Working Papers 2022/06, European Investment Bank (EIB).
• Daniel Trefler & Ruiqi Sun, 2022. "AI, Trade and Creative Destruction: A First Look," NBER Working Papers 29980, National Bureau of Economic Research, Inc.
• Caroline Jardet & Baptiste Meunier, 2022. "Nowcasting world GDP growth with high‐frequency data," Post-Print hal-03647097, HAL.
• v{S}tefan Ly'ocsa & Tom'av{s} Pl'ihal, 2022. "Russia's Ruble during the onset of the Russian invasion of Ukraine in early 2022: The role of implied volatility and attention," Papers 2205.09179, arXiv.org.
• Item repec:ehl:lserod:115109 is not listed on IDEAS anymore