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Report NEP-BIG-2021-02-08
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:
- Bo Cowgill, 2019, "Bias and Productivity in Humans and Machines," Upjohn Working Papers, W.E. Upjohn Institute for Employment Research, number 19-309, Aug.
- David Arnold & Will S. Dobbie & Peter Hull, 2020, "Measuring Racial Discrimination in Algorithms," NBER Working Papers, National Bureau of Economic Research, Inc, number 28222, Dec.
- Mr. Andrew J Tiffin, 2019, "Machine Learning and Causality: The Impact of Financial Crises on Growth," IMF Working Papers, International Monetary Fund, number 2019/228, Nov.
- Racine Ly & Fousseini Traore & Khadim Dia, 2021, "Forecasting Commodity Prices Using Long Short-Term Memory Neural Networks," Papers, arXiv.org, number 2101.03087, Jan, revised Jan 2021.
- Alexandre Miot, 2020, "Adversarial trading," Papers, arXiv.org, number 2101.03128, Dec.
- S. Van Cranenburgh & S. Wang & A. Vij & F. Pereira & J. Walker, 2021, "Choice modelling in the age of machine learning -- discussion paper," Papers, arXiv.org, number 2101.11948, Jan, revised Nov 2021.
- Maximilien Germain & Huy^en Pham & Xavier Warin, 2021, "Neural networks-based algorithms for stochastic control and PDEs in finance," Papers, arXiv.org, number 2101.08068, Jan, revised Apr 2021.
- Item repec:hal:wpaper:hal-03115503 is not listed on IDEAS anymore
- Fajar, Muhammad, 2019, "An application of hybrid forecasting singular spectrum analysis – extreme learning machine method in foreign tourists forecasting," MPRA Paper, University Library of Munich, Germany, number 105044, Oct, revised 31 Oct 2019.
- Mehran Taghian & Ahmad Asadi & Reza Safabakhsh, 2021, "A Reinforcement Learning Based Encoder-Decoder Framework for Learning Stock Trading Rules," Papers, arXiv.org, number 2101.03867, Jan.
- Lopez, Claude & Roh, Hyeongyul & Butler, Brittney, 2021, "How to Identify Health Innovation Gaps? Insights from Data on Diseases’ Costs, Mortality, and Funding," MPRA Paper, University Library of Munich, Germany, number 105215, Jan.
- Nicholas Economides & Ioannis Lianos, 2021, "Restrictions on Privacy and Exploitation in the Digital Economy: A Market Failure Perspective," Working Papers, NET Institute, number 21-02, Jan, revised Jan 2021.
- Arunav Das, 2021, "GDP Forecasting using Payments Transaction Data," Papers, arXiv.org, number 2101.06478, Jan.
- Ujwal Kandi & Sasikanth Gujjula & Venkatesh Buddha & V S Bhagavan, 2021, "Visualizing the Financial Impact of Presidential Tweets on Stock Markets," Papers, arXiv.org, number 2101.03205, Jan.
- Sybrand Brekelmans & Georgios Petropoulos, 2020, "Occupational change, artificial intelligence and the geography of EU labour markets," Bruegel Working Papers, Bruegel, number 37146, Jun.
- Mr. Emre Alper & Michal Miktus, 2019, "Digital Connectivity in sub-Saharan Africa: A Comparative Perspective," IMF Working Papers, International Monetary Fund, number 2019/210, Sep.
- Tae Wan Kim & Matloob Khushi, 2020, "Portfolio Optimization with 2D Relative-Attentional Gated Transformer," Papers, arXiv.org, number 2101.03138, Dec.
- Geoffrey Parker & Georgios Petropoulos & Marshall Van Alstyne, 2021, "Platform mergers and antitrust," Bruegel Working Papers, Bruegel, number 40796, Jan.
- Edvard Bakhitov & Amandeep Singh, 2021, "Causal Gradient Boosting: Boosted Instrumental Variable Regression," Papers, arXiv.org, number 2101.06078, Jan.
- Bertani, Filippo & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021, "Digital Innovation and its Potential Consequences: the Elasticity Augmenting Approach," MPRA Paper, University Library of Munich, Germany, number 105326, Jan.
- Simon Berset & Martin Huber & Mark Schelker, 2021, "The fiscal response to revenue shocks," Papers, arXiv.org, number 2101.07661, Jan.
- Tiziana Carpi & Airo Hino & Stefano Maria Iacus & Giuseppe Porro, 2021, "Twitter Subjective Well-Being Indicator During COVID-19 Pandemic: A Cross-Country Comparative Study," Papers, arXiv.org, number 2101.07695, Jan.
- Fajar, Muhammad & Prasetyo, Octavia Rizky & Nonalisa, Septiarida & Wahyudi, Wahyudi, 2020, "Forecasting unemployment rate in the time of COVID-19 pandemic using Google trends data (case of Indonesia)," MPRA Paper, University Library of Munich, Germany, number 105042, Nov, revised 30 Nov 2020.