Report NEP-BIG-2017-11-26

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:

• Ariel Navon & Yosi Keller, 2017. "Financial Time Series Prediction Using Deep Learning," Papers 1711.04174, arXiv.org.
• Grinis, Inna, 2017. "The STEM requirements of "non-STEM" jobs: evidence from UK online vacancy postings and implications for skills & knowledge shortages," LSE Research Online Documents on Economics 85123, London School of Economics and Political Science, LSE Library.
• Knippenberg, Erwin & Hoddinott, John F., 2017. "Shocks, social protection, and resilience: Evidence from Ethiopia," ESSP working papers 109, International Food Policy Research Institute (IFPRI).
• Frencesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-based model calibration using machine learning surrogates," Documents de Travail de l'OFCE 2017-09, Observatoire Francais des Conjonctures Economiques (OFCE).
• Jushan Bai & Serena Ng, 2017. "Principal Components and Regularized Estimation of Factor Models," Papers 1708.08137, arXiv.org, revised Nov 2017.
• Layla Parast & Daniel F. McCaffrey & Lane F. Burgette & Fernando Hoces de la Guardia & Daniela Golinelli & Jeremy N. V. Miles & Beth Ann Griffin, "undated". "Optimizing Variance-Bias Trade-Off in the TWANG Package for Estimation of Propensity Scores," Mathematica Policy Research Reports 5881d9ed1776448a91d9ebbf9, Mathematica Policy Research.
• Frédérique Marty, 2017. "Algorithmes de prix, intelligence artificielle et equilibre collusifs," Documents de Travail de l'OFCE 2017-14, Observatoire Francais des Conjonctures Economiques (OFCE).