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Report NEP-FOR-2020-03-16
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:
- Markus Heinrich & Magnus Reif, 2020, "Real-Time Forecasting Using Mixed-Frequency VARS with Time-Varying Parameters," CESifo Working Paper Series, CESifo, number 8054.
- Ekaterina Abramova & Derek Bunn, 2020, "Forecasting the Intra-Day Spread Densities of Electricity Prices," Papers, arXiv.org, number 2002.10566, Feb.
- Anton Gerunov, 2020, "Binary Classification Problems in Economics and 136 Different Ways to Solve Them," Bulgarian Economic Papers, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria // Center for Economic Theories and Policies at Sofia University St Kliment Ohridski, number bep-2020-02, Mar, revised Mar 2020.
- Andrejs Bessonovs & Olegs Krasnopjorovs, 2020, "Short-Term Inflation Projections Model and Its Assessment in Latvia," Working Papers, Latvijas Banka, number 2020/01, Jan.
- Boriss Siliverstovs & Daniel Wochner, 2020, "Recessions as Breadwinner for Forecasters State-Dependent Evaluation of Predictive Ability: Evidence from Big Macroeconomic US Data," Working Papers, Latvijas Banka, number 2020/02, Feb.
- Krüger, Jens & Ruths Sion, Sebastian, 2019, "Improving oil price forecasts by sparse VAR methods," Darmstadt Discussion Papers in Economics, Darmstadt University of Technology, Department of Law and Economics, number 237, DOI: 10.25534/tuprints-00009643.