Report NEP-BIG-2018-02-26

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:

• Matt Taddy, 2018. "The Technological Elements of Artificial Intelligence," NBER Working Papers 24301, National Bureau of Economic Research, Inc.
• Avi Goldfarb & Daniel Trefler, 2018. "AI and International Trade," NBER Working Papers 24254, National Bureau of Economic Research, Inc.
• Ajay K. Agrawal & Joshua S. Gans & Avi Goldfarb, 2018. "Human Judgment and AI Pricing," NBER Working Papers 24284, National Bureau of Economic Research, Inc.
• Ginger Zhe Jin, 2018. "Artificial Intelligence and Consumer Privacy," NBER Working Papers 24253, National Bureau of Economic Research, Inc.
• Choi, Jay Pil & Jeon, Doh-Shin & Kim, Byung-Cheol, 2018. "Privacy and Personal Data Collection with Information Externalities," TSE Working Papers 17-887, Toulouse School of Economics (TSE), revised Jan 2019.
• Magdalena Bennett & Peter Leopold S. Bergman, 2018. "Better Together? Social Networks in Truancy and the Targeting of Treatment," CESifo Working Paper Series 6848, CESifo.
• Hans Buhler & Lukas Gonon & Josef Teichmann & Ben Wood, 2018. "Deep Hedging," Papers 1802.03042, arXiv.org.
• Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
• Julio A. Berdegué & Tatiana Hiller & Juan Mauricio Ramírez & Santiago Satizábal & Isidro Soloaga & Juan Soto & Miguel Uribe & Milena Vargas, 2017. "Delineating Functional Territories From Outer Space," Working Paper Series Sobre México 2017004, Sobre México. Temas en economía.
• Florian Maire & Nial Friel & Pierre ALQUIER, 2017. "Informed Sub-Sampling MCMC: Approximate Bayesian Inference for Large Datasets," Working Papers 2017-40, Center for Research in Economics and Statistics.
• Kohn, Robert & Nguyen, Nghia & Nott, David & Tran, Minh-Ngoc, 2017. "Random Effects Models with Deep Neural Network Basis Functions: Methodology and Computation," Working Papers 2123/17877, University of Sydney Business School, Discipline of Business Analytics.
• Pierre Alquier & James Ridgway, 2017. "Concentration of tempered posteriors and of their variational approximations," Working Papers 2017-39, Center for Research in Economics and Statistics.
• FUJI Kazuhiko, 2017. "Aesthetic Activities Will Increase in the Era of General Purpose AI (Japanese)," Policy Discussion Papers (Japanese) 17035, Research Institute of Economy, Trade and Industry (RIETI).