Printed from https://ideas.repec.org/n/nep-big/2017-11-26.html
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 (Tom Coupe) issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
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, arXiv.org, number 1711.04174, Nov.
- 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, London School of Economics and Political Science, LSE Library, number 85123, May.
- Knippenberg, Erwin & Hoddinott, John F., 2017, "Shocks, social protection, and resilience: Evidence from Ethiopia," ESSP working papers, International Food Policy Research Institute (IFPRI), number 109.
- Frencesco Lamperti & Andrea Roventini & Amir Sani, 2017, "Agent-based model calibration using machine learning surrogates," Documents de Travail de l'OFCE, Observatoire Francais des Conjonctures Economiques (OFCE), number 2017-09, Mar.
- Jushan Bai & Serena Ng, 2017, "Principal Components and Regularized Estimation of Factor Models," Papers, arXiv.org, number 1708.08137, Aug, 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, , "Optimizing Variance-Bias Trade-Off in the TWANG Package for Estimation of Propensity Scores," Mathematica Policy Research Reports, Mathematica Policy Research, number 5881d9ed1776448a91d9ebbf9.
- Frédérique Marty, 2017, "Algorithmes de prix, intelligence artificielle et equilibre collusifs," Documents de Travail de l'OFCE, Observatoire Francais des Conjonctures Economiques (OFCE), number 2017-14, May.