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Report NEP-FOR-2021-03-29
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:
- Boriss Siliverstovs, 2021, "Gauging the Effect of Influential Observations on Measures of Relative Forecast Accuracy in a Post-COVID-19 Era: Application to Nowcasting Euro Area GDP Growth," Working Papers, Latvijas Banka, number 2021/01, Feb.
- Charles Engel & Steve Pak Yeung Wu, 2021, "Forecasting the U.S. Dollar in the 21st Century," NBER Working Papers, National Bureau of Economic Research, Inc, number 28447, Feb.
- Valentina Aprigliano & Simone Emiliozzi & Gabriele Guaitoli & Andrea Luciani & Juri Marcucci & Libero Monteforte, 2021, "The power of text-based indicators in forecasting the Italian economic activity," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1321, Mar.
- Gabriel Borrageiro & Nick Firoozye & Paolo Barucca, 2021, "Online Learning with Radial Basis Function Networks," Papers, arXiv.org, number 2103.08414, Mar, revised Oct 2022.
- Delle Monache, Davide & De Polis, Andrea & Petrella, Ivan, 2021, "Modeling and forecasting macroeconomic downside risk," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1324, Mar.
- Min Seong Kim, 2021, "Robust Inference for Diffusion-Index Forecasts with Cross-Sectionally Dependent Data," Working papers, University of Connecticut, Department of Economics, number 2021-04, Mar.
- Guoyou Yue, 2021, "Forecasting the Logistics Demand of Guangxi Beibu Gulf Port," GATR Journals, Global Academy of Training and Research (GATR) Enterprise, number gjbssr587, Mar, DOI: https://doi.org/10.35609/gjbssr.202.
- Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2021, "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," Working Papers, Federal Reserve Bank of Cleveland, number 21-08R, Mar, revised 12 Jul 2022, DOI: 10.26509/frbc-wp-202108r.