Printed from https://ideas.repec.org/n/nep-big/2019-10-28.html
Report NEP-BIG-2019-10-28
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:
- Olivier Gergaud & Victor Ginsburgh, 2019, "Using Google Trends to Evaluate Cultural Events," Working Papers ECARES, ULB -- Universite Libre de Bruxelles, number 2019-24, Oct.
- Nicholas Economides & Ioannis Lianos, 2019, "Restrictions on Privacy and Exploitation in the Digital Economy: A Competition Law Perspective," Working Papers, NET Institute, number 19-15, Oct.
- Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2019, "How is Machine Learning Useful for Macroeconomic Forecasting?," CIRANO Working Papers, CIRANO, number 2019s-22, Oct.
- Duncan, Brian & Grogger, Jeffrey & Leon, Ana Sofia & Trejo, Stephen J., 2019, "New Evidence of Generational Progress for Mexican Americans," IZA Discussion Papers, IZA Network @ LISER, number 12704, Oct.
- Timothy Shields & Eric Schniter & Daniel Sznycer, 2018, "Trust in Humans and Robots: Economically Similar but Emotionally Different," Working Papers, Chapman University, Economic Science Institute, number 18-22.
- Yaya, OlaOluwa S & Ogbonna, Ephraim A & Furuoka, Fumitaka & Gil-Alana, Luis A., 2019, "A new unit root analysis for testing hysteresis in unemployment," MPRA Paper, University Library of Munich, Germany, number 96621, Oct.
- Vondra, Marek & Touš, Michal & Teng, Sin Yong, 2019, "Digestate Evaporation Treatment in Biogas Plants: A Techno-economic Assessment by Monte Carlo, Neural Networks and Decision Trees," MPRA Paper, University Library of Munich, Germany, number 95770, Sep.