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Report NEP-FOR-2017-11-26
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:
- Taku Yamamoto & Hiroaki Chigira, 2017, "Forecasting Mortality: Some Recent Developments," Proceedings of International Academic Conferences, International Institute of Social and Economic Sciences, number 5808110, Oct.
- Dimitris Korobilis & Davide Pettenuzzo, 2017, "Adaptive Hierarchical Priors for High-Dimensional Vector Autoregessions," Working Papers, Brandeis University, Department of Economics and International Business School, number 115, Sep.
- Beili Zhu, 2017, "Forecasting the Real Price of Oil Under Alternative Specifications of Constant and Time-Varying Volatility," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2017-71, Nov.
- Correia, Maria & Kang, Johnny & Richardson, Scott, 2018, "Asset volatility," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 84405, Mar.
- Daniel PUIG & Oswaldo Morales-Napoles & Fatemeh Bakhtiari & Gissela Landa Rivera, 2017, "The accountability imperative for quantifying the uncertainty of emission forecasts : evidence from Mexico," Documents de Travail de l'OFCE, Observatoire Francais des Conjonctures Economiques (OFCE), number 2017-17, Sep.
- André W. Heinemann & Hanna Kotina & Maryna Stepura, 2017, "An Interdisciplinary View on Tax Revenue Estimates and Forecasts and its Impacts on a Multilevel Public Budget System," Proceedings of International Academic Conferences, International Institute of Social and Economic Sciences, number 5807719, Oct.
- Knut Are Aastveit & André K. Anundsen & Eyo I. Herstad, 2017, "Residential investment and recession predictability," Working Paper, Norges Bank, number 2017/24, Nov.
- Parag A. Pathak & Peng Shi, 2017, "How Well Do Structural Demand Models Work? Counterfactual Predictions in School Choice," NBER Working Papers, National Bureau of Economic Research, Inc, number 24017, Nov.
- Davide Pettenuzzo & Zhiyuan Pan & Yudong Wang, 2017, "Forecasting Stock Returns: A Predictor-Constrained Approach," Working Papers, Brandeis University, Department of Economics and International Business School, number 116, Oct.