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Report NEP-FOR-2019-11-18
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:
- Eraslan, Sercan & Schröder, Maximilian, 2019, "Nowcasting GDP with a large factor model space," Discussion Papers, Deutsche Bundesbank, number 41/2019.
- Periklis Gogas & Theophilos Papadimitriou & Emmanouil Sofianos, 2019, "Money Neutrality, Monetary Aggregates and Machine Learning," DUTH Research Papers in Economics, Democritus University of Thrace, Department of Economics, number 4-2016, Jul.
- Joel Suss & Henry Treitel, 2019, "Predicting bank distress in the UK with machine learning," Bank of England working papers, Bank of England, number 831, Oct.
- Taiebat, Morteza & Stolper, Samuel & Xu, Ming, 2019, "Forecasting the Impact of Connected and Automated Vehicles on Energy Use: A Microeconomic Study of Induced Travel and Energy Rebound," LawRxiv, Center for Open Science, number dk6qv, Apr, DOI: 10.31219/osf.io/dk6qv.