Report NEP-FOR-2016-05-28

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.

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Other reports in NEP-FOR

The following items were announced in this report:

• O'Hare, Colin & Li, Youwei, 2016. "Models of Mortality rates - analysing the residuals," MPRA Paper 71394, University Library of Munich, Germany.
• Antoine Mandel & Amir Sani, 2017. "A Machine Learning Approach to the Forecast Combination Puzzle," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01317974, HAL.
• Robinson Kruse & Christian Leschinski & Michael Will, 2016. "Comparing Predictive Accuracy under Long Memory - With an Application to Volatility Forecasting," CREATES Research Papers 2016-17, Department of Economics and Business Economics, Aarhus University.
• Francis Bismans & Igor N. Litvine, 2016. "Forecasting with Neural Networks Models," Working Papers of BETA 2016-28, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
• Constantin Bürgi & Tara M. Sinclair, 2015. "A Nonparametric Approach to Identifying a Subset of Forecasters that Outperforms the Simple Average," Working Papers 2015-006, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
• Daniela Bragoli & Michele Modugno, 2016. "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series 2016-036, Board of Governors of the Federal Reserve System (U.S.).
• B. Sudhakara Reddy, 2016. "Economic dynamics and technology diffusion in Indian power sector," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2016-014, Indira Gandhi Institute of Development Research, Mumbai, India.
• Wagner Piazza Gaglianone & Waldyr Dutra Areosa, 2016. "Financial Conditions Indicators for Brazil," Working Papers Series 435, Central Bank of Brazil, Research Department.