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Report NEP-FOR-2020-10-19
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:
- Laura Coroneo & Fabrizio Iacone & Alessia Paccagnini & Paulo Santos Monteiro, 2020, "Testing the predictive accuracy of COVID-19 forecasts," Discussion Papers, Department of Economics, University of York, number 20/10, Oct.
- Nadja Klein & Michael Stanley Smith & David J. Nott, 2020, "Deep Distributional Time Series Models and the Probabilistic Forecasting of Intraday Electricity Prices," Papers, arXiv.org, number 2010.01844, Oct, revised May 2021.
- Valerio Ercolani & Filippo Natoli, 2020, "Forecasting US recessions: the role of economic uncertainty," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1299, Sep.
- Mukherjee, Paramita & Coondoo, Dipankor & Lahiri, Poulomi, 2019, "Forecasting Hourly Prices in Indian Spot Electricity Market," MPRA Paper, University Library of Munich, Germany, number 103161.
- Kasun Chandrarathna & Arman Edalati & AhmadReza Fourozan tabar, 2020, "Forecasting Short-term load using Econometrics time series model with T-student Distribution," Papers, arXiv.org, number 2009.13595, Sep.
- Foltas, Alexander & Pierdzioch, Christian, 2020, "On the efficiency of German growth forecasts: An empirical analysis using quantile random forests," Working Papers, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin, number 21, DOI: 10.18452/21910.
- Claudia Pacella, 2020, "Essays on Forecasting," ULB Institutional Repository, ULB -- Universite Libre de Bruxelles, number 2013/307579, Jun.
- Nissilä, Wilma, 2020, "Probit based time series models in recession forecasting – A survey with an empirical illustration for Finland," BoF Economics Review, Bank of Finland, number 7/2020.