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Report NEP-FOR-2020-09-28
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:
- Ana B. Galvão & Michael T. Owyang, 2020, "Forecasting Low Frequency Macroeconomic Events with High Frequency Data," Working Papers, Federal Reserve Bank of St. Louis, number 2020-028, Sep, revised Apr 2022, DOI: 10.20955/wp.2020.028.
- Michele Lenza & Giorgio E. Primiceri, 2020, "How to Estimate a VAR after March 2020," NBER Working Papers, National Bureau of Economic Research, Inc, number 27771, Sep.
- NGO, Hoang Anh & HOANG, Thai Nam, 2020, "A Rolling Optimized Nonlinear Grey Bernoulli Model RONGBM(1,1) and application in predicting total COVID-19 cases," OSF Preprints, Center for Open Science, number 6y95m, May, DOI: 10.31219/osf.io/6y95m.
- Ahamad, Mazbahul G & Ahmed, Monir U. & Talukder, Byomkesh & Tanin, Fahian, 2020, "Use of Unofficial Newspaper Data for COVID-19 Death Surveillance," SocArXiv, Center for Open Science, number mwd7q, Sep, DOI: 10.31219/osf.io/mwd7q.
- Andras Chabin & Sébastien Lamproye & Milan Výškrabka, 2020, "Are We More Accurate? Revisiting the European Commission’s Macroeconomic Forecasts," European Economy - Discussion Papers, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission, number 128, Jul.