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 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 2019-24, ULB -- Universite Libre de Bruxelles.
- Nicholas Economides & Ioannis Lianos, 2019. "Restrictions on Privacy and Exploitation in the Digital Economy: A Competition Law Perspective," Working Papers 19-15, NET Institute.
- Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2019. "How is Machine Learning Useful for Macroeconomic Forecasting?," CIRANO Working Papers 2019s-22, CIRANO.
- Duncan, Brian & Grogger, Jeffrey & Leon, Ana Sofia & Trejo, Stephen J., 2019. "New Evidence of Generational Progress for Mexican Americans," IZA Discussion Papers 12704, Institute of Labor Economics (IZA).
- Timothy Shields & Eric Schniter & Daniel Sznycer, 2018. "Trust in Humans and Robots: Economically Similar but Emotionally Different," Working Papers 18-22, Chapman University, Economic Science Institute.
- 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 96621, University Library of Munich, Germany.
- 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 95770, University Library of Munich, Germany.