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, or Bluesky.
Other reports in NEP-FOR
The following items were announced in this report:
- Jonathan Kearns, 2016, "Global inflation forecasts," BIS Working Papers, Bank for International Settlements, number 582, Sep.
- 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, Osaka University, Graduate School of Economics, number 16-22, Sep.
- António Rua, 2016, "A wavelet-based multivariate multiscale approach for forecasting," Working Papers, Banco de Portugal, Economics and Research Department, number w201612.
- Frankel, Jeffrey A. & Schreger, Jesse, 2016, "Bias in Official Fiscal Forecasts: Can Private Forecasts Help?," Working Paper Series, Harvard University, John F. Kennedy School of Government, number 16-021, May.
- Güneş Kamber & James Morley & Benjamin Wong, 2016, "Intuitive and reliable estimates of the output gap from a Beveridge-Nelson filter," BIS Working Papers, Bank for International Settlements, number 584, Sep.
- Vasilios Plakandaras & Rangan Gupta & Mark E. Wohar, 2016, "The Depreciation of the Pound Post-Brexit: Could it have been Predicted?," Working Papers, University of Pretoria, Department of Economics, number 201670, Sep.
- Item repec:hum:wpaper:sfb649dp2016-035 is not listed on IDEAS anymore
- Luis Aguiar & Joel Waldfogel, 2016, "Quality Predictability and the Welfare Benefits from New Products: Evidence from the Digitization of Recorded Music," NBER Working Papers, National Bureau of Economic Research, Inc, number 22675, Sep.
- António R. Antunes & Diana Bonfim & Nuno Monteiro & Paulo M.M. Rodrigues, 2016, "Forecasting banking crises with dynamic panel probit models," Working Papers, Banco de Portugal, Economics and Research Department, number w201613.
- Giovanni Angelini & Luca De Angelis, 2016, "PARX model for football matches predictions," Quaderni di Dipartimento, Department of Statistics, University of Bologna, number 2.
Printed from https://ideas.repec.org/n/nep-for/2016-10-02.html