Report NEP-FOR-2020-04-13

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:

• Pak, Anton & Gannon, Brenda & Staib, Andrew, 2020. "Forecasting Waiting Time to Treatment for Emergency Department Patients," OSF Preprints d25se, Center for Open Science.
• Chong, Terence Tai Leung & Ka, Yiu Tung, 2019. "Forecasting Income Inequality with Demographic Projections," MPRA Paper 99160, University Library of Munich, Germany.
• Ergun Yukseltan & Ahmet Yucekaya & Ayse Humeyra Bilge & Esra Agca Aktunc, 2020. "Forecasting Models for Daily Natural Gas Consumption Considering Periodic Variations and Demand Segregation," Papers 2003.13385, arXiv.org.
• Jennifer L. Castle & Jurgen A. Doornik & David Hendry, 2019. "Some forecasting principles from the M4 competition," Economics Papers 2019-W01, Economics Group, Nuffield College, University of Oxford.
• Wei-Zhen Li & Jin-Rui Zhai & Zhi-Qiang Jiang & Gang-Jin Wang & Wei-Xing Zhou, 2020. "Predicting tail events in a RIA-EVT-Copula framework," Papers 2004.03190, arXiv.org, revised Apr 2020.
• Andrew Atkeson, 2020. "What Will Be the Economic Impact of COVID-19 in the US? Rough Estimates of Disease Scenarios," NBER Working Papers 26867, National Bureau of Economic Research, Inc.
• Nathan Dahlin & Rahul Jain, 2020. "Scheduling Flexible Non-Preemptive Loads in Smart-Grid Networks," Papers 2003.13220, arXiv.org, revised Dec 2021.