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Report NEP-FOR-2020-01-27
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:
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2020, "Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions," Working Papers, Federal Reserve Bank of Cleveland, number 20-02R, Jan, revised 22 Sep 2020, DOI: 10.26509/frbc-wp-202002r.
- Gergely Ganics & Barbara Rossi & Tatevik Sekhposyan, 2019, "From fixed-event to fixed-horizon density forecasts: Obtaining measures of multi-horizon uncertainty from survey density forecasts," Economics Working Papers, Department of Economics and Business, Universitat Pompeu Fabra, number 1689, Dec.
- Claudio, João C. & Heinisch, Katja & Holtemöller, Oliver, 2019, "Nowcasting East German GDP growth: A MIDAS approach," IWH Discussion Papers, Halle Institute for Economic Research (IWH), number 24/2019.
- Alexander Glas & Matthias Hartmann, 2020, "Uncertainty measures from partially rounded probabilistic forecast surveys," Working Papers, University of Milano-Bicocca, Department of Economics, number 427, Jan, revised Jan 2020.
- Li, W. & Fok, D. & Franses, Ph.H.B.F., 2019, "Forecasting own brand sales: Does incorporating competition help?," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI2019-35, Oct.
- Brüggen, Alexander & Grabner, Isabella & Sedatole, Karen, 2020, "The folly of forecasting: The effects of a disaggregated demand forecasting system on forecast error, forecast positive bias, and inventory levels," Department for Strategy and Innovation Working Paper Series, WU Vienna University of Economics and Business, number 07/2020, Jan.
- Pedro Miguel Avelino Bação & António Portugal Duarte & Diogo Viveiros, 2020, "Exports Since the International Financial Crisis," CeBER Working Papers, Centre for Business and Economics Research (CeBER), University of Coimbra, number 2020-01, Jan.
- Osipov, Vasiliy & Zhukova, Nataly & Miloserdov, Dmitriy, 2019, "Neural Network Associative Forecasting of Demand for Goods," MPRA Paper, University Library of Munich, Germany, number 97314, Sep, revised 23 Sep 2019.
- Timothy Neal & Michael Keane, 2020, "Comparing Deep Neural Network and Econometric Approaches to Predicting the Impact of Climate Change on Agricultural Yield," Discussion Papers, School of Economics, The University of New South Wales, number 2020-02, Jan.