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Report NEP-BIG-2017-07-02
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:
- Simionescu, Mihaela & Zimmermann, Klaus F., 2017. "Big Data and Unemployment Analysis," GLO Discussion Paper Series 81, Global Labor Organization (GLO).
- Jaqueson K Galimberti, 2017. "Forecasting GDP growth from the outer space," KOF Working papers 17-427, KOF Swiss Economic Institute, ETH Zurich.
- Fritz Schiltz & Chiara Masci & Tommaso Agasisti & Daniel Horn, 2017. "Using Machine Learning To Model Interaction Effects In Education: A Graphical Approach," Budapest Working Papers on the Labour Market 1704, Institute of Economics, Centre for Economic and Regional Studies.
- Alexandrov, Mikhail (Александров, Михаил) & Stefanovskiy, Dmitry (Стефановский, Дмитрий), 2017. "Forming a Representative Sample in the Analysis of Large Data [Формирование Представительной Выборки При Анализе Больших Данных]," Working Papers 051732, Russian Presidential Academy of National Economy and Public Administration.
- Haucap, Justus & Heimeshoff, Ulrich, 2017. "Ordnungspolitik in der digitalen Welt," DICE Ordnungspolitische Perspektiven 90, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).