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Report NEP-FOR-2018-08-27
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:
- Puwasala Gamakumara & Anastasios Panagiotelis & George Athanasopoulos & Rob J Hyndman, 2018, "Probabilisitic forecasts in hierarchical time series," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 11/18.
- Ian Borg & Germano Ruisi, 2018, "Forecasting using Bayesian VARs: A Benchmark for STREAM," CBM Working Papers, Central Bank of Malta, number WP/04/2018.
- Joshua C.C. Chan & Eric Eisenstat & Chenghan Hou & Gary Koop, 2018, "Composite Likelihood Methods for Large Bayesian VARs with Stochastic Volatility," Working Paper Series, Economics Discipline Group, UTS Business School, University of Technology, Sydney, number 44, May.
- Costantini, Mauro & Kunst, Robert M., 2018, "On Using Predictive-ability Tests in the Selection of Time-series Prediction Models: A Monte Carlo Evaluation," Economics Series, Institute for Advanced Studies, number 341, Jul.
- Maxime Phillot & Rina Rosenblatt-Wisch, 2018, "Inflation Expectations: The Effect of Question Ordering on Forecast Inconsistencies," Working Papers, Swiss National Bank, number 2018-11.
- Nicolas Chanut & Mario Marcel & Carlos Medel, 2018, "Can Economic Perception Surveys Improve Macroeconomic Forecasting in Chile?," Working Papers Central Bank of Chile, Central Bank of Chile, number 824, Jul.
- Steven F. Lehrer & Tian Xie, 2018, "The Bigger Picture: Combining Econometrics with Analytics Improve Forecasts of Movie Success," NBER Working Papers, National Bureau of Economic Research, Inc, number 24755, Jun.