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.

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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 2020-028, Federal Reserve Bank of St. Louis, revised Apr 2022.
• Michele Lenza & Giorgio E. Primiceri, 2020. "How to Estimate a VAR after March 2020," NBER Working Papers 27771, National Bureau of Economic Research, Inc.
• 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 6y95m, Center for Open Science.
• Ahamad, Mazbahul G & Ahmed, Monir U. & Talukder, Byomkesh & Tanin, Fahian, 2020. "Use of Unofficial Newspaper Data for COVID-19 Death Surveillance," SocArXiv mwd7q, Center for Open Science.
• Andras Chabin & Sébastien Lamproye & Milan Výškrabka, 2020. "Are We More Accurate? Revisiting the European Commission’s Macroeconomic Forecasts," European Economy - Discussion Papers 128, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.