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Report NEP-FOR-2018-10-08
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:
- Pinkwart, Nicolas, 2018, "Short-term forecasting economic activity in Germany: A supply and demand side system of bridge equations," Discussion Papers, Deutsche Bundesbank, number 36/2018.
- Sergey Ivashchenko & Semih Emre Çekin & Kevin Kotzé & Rangan Gupta, 2018, "Forecasting with Second-Order Approximations and Markov Switching DSGE Models," Working Papers, University of Pretoria, Department of Economics, number 201862, Sep.
- Jahn, Malte, 2018, "Artificial neural network regression models: Predicting GDP growth," HWWI Research Papers, Hamburg Institute of International Economics (HWWI), number 185.
- Adam Richardson & Thomas van Florenstein Mulder & Tugrul Vehbi, 2018, "Nowcasting New Zealand GDP Using Machine Learning Algorithms," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2018-47, Sep.