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Report NEP-FOR-2021-10-18
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:
- Bańbura, Marta & Leiva-Leon, Danilo & Menz, Jan-Oliver, 2021, "Do inflation expectations improve model-based inflation forecasts?," Working Paper Series, European Central Bank, number 2604, Oct.
- Korobilis, Dimitris & Landau, Bettina & Musso, Alberto & Phella, Anthoulla, 2021, "The time-varying evolution of inflation risks," Working Paper Series, European Central Bank, number 2600, Oct.
- Mahdieh Yazdani, 2021, "Machine Learning, Deep Learning, and Hedonic Methods for Real Estate Price Prediction," Papers, arXiv.org, number 2110.07151, Oct.