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Report NEP-FOR-2016-10-02
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.
Other reports in NEP-FOR
The following items were announced in this report:
- Jonathan Kearns, 2016. "Global inflation forecasts," BIS Working Papers 582, Bank for International Settlements.
- Niematallah Elamin & Mototsugu Fukushige, 2016. "A Quantile Regression Model for Electricity Peak Demand Forecasting: An Approach to Avoiding Power Blackouts," Discussion Papers in Economics and Business 16-22, Osaka University, Graduate School of Economics.
- António Rua, 2016. "A wavelet-based multivariate multiscale approach for forecasting," Working Papers w201612, Banco de Portugal, Economics and Research Department.
- Frankel, Jeffrey A. & Schreger, Jesse, 2016. "Bias in Official Fiscal Forecasts: Can Private Forecasts Help?," Working Paper Series 16-021, Harvard University, John F. Kennedy School of Government.
- Güneş Kamber & James Morley & Benjamin Wong, 2016. "Intuitive and reliable estimates of the output gap from a Beveridge-Nelson filter," BIS Working Papers 584, Bank for International Settlements.
- Vasilios Plakandaras & Rangan Gupta & Mark E. Wohar, 2016. "The Depreciation of the Pound Post-Brexit: Could it have been Predicted?," Working Papers 201670, University of Pretoria, Department of Economics.
- López Cabrera, Brenda & Schulz, Franziska, 2016. "Time-adaptive probabilistic forecasts of electricity spot prices with application to risk management," SFB 649 Discussion Papers 2016-035, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Luis Aguiar & Joel Waldfogel, 2016. "Quality Predictability and the Welfare Benefits from New Products: Evidence from the Digitization of Recorded Music," NBER Working Papers 22675, National Bureau of Economic Research, Inc.
- António R. Antunes & Diana Bonfim & Nuno Monteiro & Paulo M.M. Rodrigues, 2016. "Forecasting banking crises with dynamic panel probit models," Working Papers w201613, Banco de Portugal, Economics and Research Department.
- Giovanni Angelini & Luca De Angelis, 2016. "PARX model for football matches predictions," Quaderni di Dipartimento 2, Department of Statistics, University of Bologna.