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 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:

• Bo Cowgill, 2019. "Bias and Productivity in Humans and Machines," Upjohn Working Papers 19-309, W.E. Upjohn Institute for Employment Research.
• David Arnold & Will S. Dobbie & Peter Hull, 2020. "Measuring Racial Discrimination in Algorithms," NBER Working Papers 28222, National Bureau of Economic Research, Inc.
• Mr. Andrew J Tiffin, 2019. "Machine Learning and Causality: The Impact of Financial Crises on Growth," IMF Working Papers 2019/228, International Monetary Fund.
• Racine Ly & Fousseini Traore & Khadim Dia, 2021. "Forecasting Commodity Prices Using Long Short-Term Memory Neural Networks," Papers 2101.03087, arXiv.org, revised Jan 2021.
• Alexandre Miot, 2020. "Adversarial trading," Papers 2101.03128, arXiv.org.
• S. Van Cranenburgh & S. Wang & A. Vij & F. Pereira & J. Walker, 2021. "Choice modelling in the age of machine learning -- discussion paper," Papers 2101.11948, arXiv.org, revised Nov 2021.
• Maximilien Germain & Huy^en Pham & Xavier Warin, 2021. "Neural networks-based algorithms for stochastic control and PDEs in finance," Papers 2101.08068, arXiv.org, revised Apr 2021.
• Maximilien Germain & Huyên Pham & Xavier Warin, 2021. "Neural networks-based algorithms for stochastic control and PDEs in finance ," Working Papers hal-03115503, HAL.
• Fajar, Muhammad, 2019. "An application of hybrid forecasting singular spectrum analysis – extreme learning machine method in foreign tourists forecasting," MPRA Paper 105044, University Library of Munich, Germany, revised 31 Oct 2019.
• Mehran Taghian & Ahmad Asadi & Reza Safabakhsh, 2021. "A Reinforcement Learning Based Encoder-Decoder Framework for Learning Stock Trading Rules," Papers 2101.03867, arXiv.org.
• Lopez, Claude & Roh, Hyeongyul & Butler, Brittney, 2021. "How to Identify Health Innovation Gaps? Insights from Data on Diseases’ Costs, Mortality, and Funding," MPRA Paper 105215, University Library of Munich, Germany.
• Nicholas Economides & Ioannis Lianos, 2021. "Restrictions on Privacy and Exploitation in the Digital Economy: A Market Failure Perspective," Working Papers 21-02, NET Institute, revised Jan 2021.
• Arunav Das, 2021. "GDP Forecasting using Payments Transaction Data," Papers 2101.06478, arXiv.org.
• Ujwal Kandi & Sasikanth Gujjula & Venkatesh Buddha & V S Bhagavan, 2021. "Visualizing the Financial Impact of Presidential Tweets on Stock Markets," Papers 2101.03205, arXiv.org.
• Sybrand Brekelmans & Georgios Petropoulos, 2020. "Occupational change, artificial intelligence and the geography of EU labour markets," Bruegel Working Papers 37146, Bruegel.
• Mr. Emre Alper & Michal Miktus, 2019. "Digital Connectivity in sub-Saharan Africa: A Comparative Perspective," IMF Working Papers 2019/210, International Monetary Fund.
• Tae Wan Kim & Matloob Khushi, 2020. "Portfolio Optimization with 2D Relative-Attentional Gated Transformer," Papers 2101.03138, arXiv.org.
• Geoffrey Parker & Georgios Petropoulos & Marshall Van Alstyne, 2021. "Platform mergers and antitrust," Bruegel Working Papers 40796, Bruegel.
• Edvard Bakhitov & Amandeep Singh, 2021. "Causal Gradient Boosting: Boosted Instrumental Variable Regression," Papers 2101.06078, arXiv.org.
• Bertani, Filippo & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "Digital Innovation and its Potential Consequences: the Elasticity Augmenting Approach," MPRA Paper 105326, University Library of Munich, Germany.
• Simon Berset & Martin Huber & Mark Schelker, 2021. "The fiscal response to revenue shocks," Papers 2101.07661, arXiv.org.
• 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 2101.07695, arXiv.org.
• 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 105042, University Library of Munich, Germany, revised 30 Nov 2020.