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Report NEP-FOR-2020-11-02
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:
- Müller, Karsten, 2020, "German forecasters' narratives: How informative are German business cycle forecast reports?," Working Papers, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin, number 23, DOI: 10.18452/22014.
- Item repec:wrk:wrkemf:38 is not listed on IDEAS anymore
- Foltas, Alexander & Pierdzioch, Christian, 2020, "Business-cycle reports and the efficiency of macroeconomic forecasts for Germany," Working Papers, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin, number 22, DOI: 10.18452/21974.
- Item repec:wrk:wrkemf:36 is not listed on IDEAS anymore
- Anthoulla Phella, 2020, "Forecasting With Factor-Augmented Quantile Autoregressions: A Model Averaging Approach," Papers, arXiv.org, number 2010.12263, Oct.
- Tahir Miriyev & Alessandro Contu & Kevin Schafers & Ion Gabriel Ion, 2020, "Hybrid Modelling Approaches for Forecasting Energy Spot Prices in EPEC market," Papers, arXiv.org, number 2010.08400, Oct.
- G.M. Gallo & D. Lacava & E. Otranto, 2020, "Measuring the Effects of Unconventional Policies on Stock Market Volatility," Working Paper CRENoS, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia, number 202006.
- Yevgeniy Goryakin & Sophie Thiébaut & Sébastien Cortaredona & M. Aliénor Lerouge & Michele Cecchini & Andrea Feigl & Bruno Ventelou, 2020, "Assessing the future medical cost burden for the European health systems under alternative exposure-to-risks scenarios," Post-Print, HAL, number hal-02964995, Sep, DOI: 10.1371/journal.pone.0238565.
- Andrew C. Harvey, 2020, "Time series models for epidemics: leading indicators, control groups and policy assessment," National Institute of Economic and Social Research (NIESR) Discussion Papers, National Institute of Economic and Social Research, number 517, Oct.