Printed from https://ideas.repec.org/n/nep-big/2022-06-13.html
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 (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:
- Joshua S. Gans, 2022, "AI Adoption in a Competitive Market," NBER Working Papers, National Bureau of Economic Research, Inc, number 29996, Apr.
- Shrey Jain & Camille Bruckmann & Chase McDougall, 2022, "NFT Appraisal Prediction: Utilizing Search Trends, Public Market Data, Linear Regression and Recurrent Neural Networks," Papers, arXiv.org, number 2204.12932, Apr.
- Joshua S. Gans, 2022, "AI Adoption in a Monopoly Market," NBER Working Papers, National Bureau of Economic Research, Inc, number 29995, Apr.
- Lukas Janasek, 2022, "Acquisition of Costly Information in Data-Driven Decision Making," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2022/10, May, 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, arXiv.org, number 2205.01875, May, 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, University Library of Munich, Germany, number 113123, May.
- 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, arXiv.org, number 2205.09508, May.
- Michael Kitchner & Nandini Anantharama & Simon Angus & Paul A. Raschky, 2022, "Predicting Political Ideology from Digital Footprints," SoDa Laboratories Working Paper Series, Monash University, SoDa Laboratories, number 2022-01, Jun.
- Michael Kitchener & Nandini Anantharama & Simon D. Angus & Paul A. Raschky, 2022, "Predicting Political Ideology from Digital Footprints," Monash Economics Working Papers, Monash University, Department of Economics, number 2022-12, Jun.
- 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, Center for Open Science, number 4yr8j, Apr, DOI: 10.31219/osf.io/4yr8j.
- Dim, Chukwuma & Koerner, Kevin & Wolski, Marcin & Zwart, Sanne, 2022, "Hot off the press: News-implied sovereign default risk," EIB Working Papers, European Investment Bank (EIB), number 2022/06, DOI: 10.2867/661002.
- Daniel Trefler & Ruiqi Sun, 2022, "AI, Trade and Creative Destruction: A First Look," NBER Working Papers, National Bureau of Economic Research, Inc, number 29980, Apr.
- Caroline Jardet & Baptiste Meunier, 2022, "Nowcasting world GDP growth with high‐frequency data," Post-Print, HAL, number hal-03647097, Sep, DOI: 10.1002/for.2858.
- 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, arXiv.org, number 2205.09179, May.
- Item repec:ehl:lserod:115109 is not listed on IDEAS anymore