Report NEP-BIG-2019-10-21

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:

• Drew Fudenberg & Jon Kleinberg & Annie Liang & Sendhil Mullainathan, 2019. "Measuring the Completeness of Theories," Papers 1910.07022, arXiv.org.
• Caroline Paunov & Sandra Planes-Satorra & Greta Ravelli, 2019. "Review of national policy initiatives in support of digital and AI-driven innovation," OECD Science, Technology and Industry Policy Papers 79, OECD Publishing.
• Laura Barbieri & Chiara Mussida & Mariacristina Piva & Marco Vivarelli, 2019. "Testing the employment impact of automation, robots and AI: A survey and some methodological issues," DISCE - Quaderni del Dipartimento di Politica Economica dipe0006, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
• Smith, Gary, 2019. "The Paradox of Big Data," Economics Department, Working Paper Series 1003, Economics Department, Pomona College, revised 04 Jun 2019.
• Vinci Chow, 2019. "Predicting Auction Price of Vehicle License Plate with Deep Residual Learning," Papers 1910.04879, arXiv.org.
• L. Jason Anastasopoulos, 2019. "Principled estimation of regression discontinuity designs," Papers 1910.06381, arXiv.org, revised May 2020.
• Maas, Benedikt, 2019. "Nowcasting and forecasting US recessions: Evidence from the Super Learner," MPRA Paper 96408, University Library of Munich, Germany.
• Bolte, Jérôme & Castera, Camille & Pauwels, Edouard & Févotte, Cédric, 2019. "An Inertial Newton Algorithm for Deep Learning," TSE Working Papers 19-1043, Toulouse School of Economics (TSE).
• Deli Chen & Yanyan Zou & Keiko Harimoto & Ruihan Bao & Xuancheng Ren & Xu Sun, 2019. "Incorporating Fine-grained Events in Stock Movement Prediction," Papers 1910.05078, arXiv.org.
• Bolte, Jérôme & Pauwels, Edouard, 2019. "Conservative set valued fields, automatic differentiation, stochastic gradient methods and deep learning," TSE Working Papers 19-1044, Toulouse School of Economics (TSE).
• Smith, Gary, 2019. "Be Wary of Black-Box Trading Algorithms," Economics Department, Working Paper Series 1007, Economics Department, Pomona College, revised 04 Jun 2019.