Report NEP-FOR-2021-08-30

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:

• George Athanasopoulos & Nikolaos Kourentzes, 2021. "On the Evaluation of Hierarchical Forecasts," Monash Econometrics and Business Statistics Working Papers 10/21, Monash University, Department of Econometrics and Business Statistics.
• Paul Ho, 2021. "Forecasting in the Absence of Precedent," Working Paper 21-10, Federal Reserve Bank of Richmond.
• Sium Bodha Hannadige & Jiti Gao & Mervyn J Silvapulle & Param Silvapulle, 2021. "Time Series Forecasting Using a Mixture of Stationary and Nonstationary Predictors," Monash Econometrics and Business Statistics Working Papers 6/21, Monash University, Department of Econometrics and Business Statistics.
• Sudiksha Joshi, 2021. "Dimensionality Reduction and State Space Systems: Forecasting the US Treasury Yields Using Frequentist and Bayesian VARs," Papers 2108.06553, arXiv.org.
• Parvez, Rezwanul & Ali Meerza, Syed Imran & Hasan Khan Chowdhury, Nazea, 2021. "Forecasting student enrollment using time series models and recurrent neural networks," 2021 Annual Meeting, August 1-3, Austin, Texas 312912, Agricultural and Applied Economics Association.
• Franky Juliano Galeano-Ramírez & Nicolás Martínez-Cortés & Carlos D. Rojas-Martínez, 2021. "Nowcasting Colombian Economic Activity: DFM and Factor-MIDAS approaches," Borradores de Economia 1168, Banco de la Republica de Colombia.
• David T. Frazier & Ruben Loaiza-Maya & Gael M. Martin & Bonsoo Koo, 2021. "Loss-Based Variational Bayes Prediction," Monash Econometrics and Business Statistics Working Papers 8/21, Monash University, Department of Econometrics and Business Statistics.
• Wei Zhou & Eoghan O’Neill & Alice Moncaster & David Reiner & Peter Guthrie, 2020. "Forecasting Urban Residential Stock Turnover Dynamics using System Dynamics and Bayesian Model Averaging," Working Papers EPRG2016, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
• Farmer, J. Doyne & Ives, Matthew & Way, Rupert & Mealy, Penny, 2020. "Empirically grounded technology forecasts and the energy transition," INET Oxford Working Papers 2021-01, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised 2021.
• David G. Blanchflower & Alex Bryson, 2021. "The Economics of Walking About and Predicting Unemployment," DoQSS Working Papers 21-24, Quantitative Social Science - UCL Social Research Institute, University College London.