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Report NEP-FOR-2022-11-28
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:
- Bergeron-Boucher, Marie-Pier & Vázquez-Castillo, Paola & Missov, Trifon, 2022, "A modal age at death approach to forecasting mortality," SocArXiv, Center for Open Science, number 5zr2k, Nov, DOI: 10.31219/osf.io/5zr2k.
- Fabian Kruger & Hendrik Plett, 2022, "Prediction intervals for economic fixed-event forecasts," Papers, arXiv.org, number 2210.13562, Oct, revised Mar 2024.
- Stamer, Vincent, 2022, "Thinking Outside the Container: A Sparse Partial Least Squares Approach to Forecasting Trade Flows," VfS Annual Conference 2022 (Basel): Big Data in Economics, Verein für Socialpolitik / German Economic Association, number 264096.
- Oguzhan Cepni & Christina Christou & Rangan Gupta, 2022, "Forecasting National Recessions of the United States with State-Level Climate Risks: Evidence from Model Averaging in Markov-Switching Models," Working Papers, University of Pretoria, Department of Economics, number 202252, Oct.
- Daniel Borup & Philippe Goulet Coulombe & Erik Christian Montes Schütte & David E. Rapach & Sander Schwenk-Nebbe, 2022, "The Anatomy of Out-of-Sample Forecasting Accuracy," FRB Atlanta Working Paper, Federal Reserve Bank of Atlanta, number 2022-16, Nov, DOI: 10.29338/wp2022-16.
- Oguzhan Cepni & Rangan Gupta & Wenting Liao & Jun Ma, 2022, "Climate Risks and Forecastability of the Weekly State-Level Economic Conditions of the United States," Working Papers, University of Pretoria, Department of Economics, number 202251, Oct.
- Giovanni Ballarin & Petros Dellaportas & Lyudmila Grigoryeva & Marcel Hirt & Sophie van Huellen & Juan-Pablo Ortega, 2022, "Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data," Papers, arXiv.org, number 2211.00363, Nov, revised Jan 2024.
- Alessandra Canepa, & Karanasos, Menelaos & Paraskevopoulos, Athanasios & Chini, Emilio Zanetti, 2022, "Forecasting Ination: A GARCH-in-Mean-Level Model with Time Varying Predictability," Department of Economics and Statistics Cognetti de Martiis. Working Papers, University of Turin, number 202212, Sep.