Report NEP-FOR-2018-10-29
This is the archive for NEP-FOR, a report on new working papers in the area of Forecasting. Rob J Hyndman issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-FOR
The following items were announced in this report:
- Item repec:hal:wpaper:halshs-01890770 is not listed on IDEAS anymore
- Tian, Jing & Goodwin, Thomas, 2018, "An unobserved component modeling approach to evaluate multi-horizon forecasts," Working Papers, University of Tasmania, Tasmanian School of Business and Economics, number 2018-04.
- Döpke, Jörg & Waldhof, Gabi & Fritsche, Ulrich, 2018, "Theories, techniques and the formation of German business cycle forecasts: Evidence from a survey of professional forecasters," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy, Verein für Socialpolitik / German Economic Association, number 181617.
- Schüssler, Rainer & Beckmann, Joscha & Koop, Gary & Korobilis, Dimitris, 2018, "Exchange rate predictability and dynamic Bayesian learning," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy, Verein für Socialpolitik / German Economic Association, number 181523.
- Hahn, Elke & Zekaite, Zivile & de Bondt, Gabe, 2018, "ALICE: A new inflation monitoring tool," Working Paper Series, European Central Bank, number 2175, Sep.
Printed from https://ideas.repec.org/n/nep-for/2018-10-29.html