Report NEP-BIG-2019-04-22

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:

• Fügener, A. & Grahl, J. & Gupta, A. & Ketter, W., 2019. "Cognitive challenges in human-AI collaboration: Investigating the path towards productive delegation," ERIM Report Series Research in Management ERS-2019-003-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
• Laurent Ferrara & Anna Simoni, 2019. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," Working papers 717, Banque de France.
• Robin Niesert & Jochem Oorschot & Chris Veldhuisen & Kester Brons & Rutger-Jan Lange, "undated". "Can Google Search Data Help Predict Macroeconomic Series?," Tinbergen Institute Discussion Papers 19-021/III, Tinbergen Institute.
• Risse, Mathias, 2019. "Human Rights, Artificial Intelligence and Heideggerian Technoskepticism: The Long (Worrisome?) View," Working Paper Series rwp19-010, Harvard University, John F. Kennedy School of Government.
• Hieu Quang Nguyen & Abdul Hasib Rahimyar & Xiaodi Wang, 2019. "Stock Forecasting using M-Band Wavelet-Based SVR and RNN-LSTMs Models," Papers 1904.08459, arXiv.org.
• Jan Abrell & Mirjam Kosch & Sebastian Rausch, 2019. "How Effective Was the UK Carbon Tax? — A Machine Learning Approach to Policy Evaluation," CER-ETH Economics working paper series 19/317, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
• Justin Sirignano & Rama Cont, 2018. "Universal features of price formation in financial markets: perspectives from Deep Learning," Working Papers hal-01754054, HAL.
• Kania, Elsa B., 2018. "New Frontiers of Chinese Defense Innovation: Artificial Intelligence and Quantum Technologies," Institute on Global Conflict and Cooperation, Working Paper Series qt66n8s5br, Institute on Global Conflict and Cooperation, University of California.
• Caferra, Rocco & Morone, Andrea, 2019. "Tax Morale and Perceived Intergenerational Mobility: a Machine Learning Predictive Approach," MPRA Paper 93171, University Library of Munich, Germany.
• Crowley, Frank & Doran, Justin, 2019. "Automation and Irish Towns: Who's Most at Risk?," SRERC Working Paper Series SRERCWP2019-1, University College Cork (UCC), Spatial and Regional Economic Research Centre (SRERC).
• Brighton, Henry, 2019. "Beyond quantified ignorance: Rebuilding rationality without the bias bias," Economics Discussion Papers 2019-25, Kiel Institute for the World Economy (IfW Kiel).
• Pauline Affeldt, 2019. "EU Merger Policy Predictability Using Random Forests," Discussion Papers of DIW Berlin 1800, DIW Berlin, German Institute for Economic Research.
• Bleemer, Zachary, 2018. "The University of California ClioMetric History Project and Formatted Optical Character Recognition," University of California at Berkeley, Center for Studies in Higher Education qt1xp6g8nj, Center for Studies in Higher Education, UC Berkeley.
• Bing Yu & Xiaojing Xing & Agus Sudjianto, 2019. "Deep-learning based numerical BSDE method for barrier options," Papers 1904.05921, arXiv.org.