Report NEP-BIG-2026-09-21
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:
- Usman Ahmed & Jason Hawkins, 2026, "Residential Price Modeling using Spatially Validated Machine Learning Methods: A Comparison Across Geographic Contexts," Papers, arXiv.org, number 2609.00375, Jul.
- Lorenzo Mu~noz & Stephane Hess & Thomas O. Hancock & Georges Sfeir, 2026, "Using machine learning metrics to provide deeper insights into the performance of choice models," Papers, arXiv.org, number 2609.20655, Sep.
- Anjali Adukia & Matthew Bonci & Paula Dastres Gallardo & Emileigh Harrison & Jake Nicoll & Teodora Szasz, 2026, "(How) Do We Teach Emotions?," CESifo Working Paper Series, CESifo, number 12983.
- Bäckman, Claes, 2026, "One advisor for the whole world? Cross-country evidence on financial advice from large language models," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 490.
Printed from https://ideas.repec.org/n/nep-big/2026-09-21.html