Panel forecasts of country-level Covid-19 infections

DOI10.1016/j.jeconom.2020.08.010zbMath1464.62458OpenAlexW3028439475WikidataQ100990396 ScholiaQ100990396MaRDI QIDQ2224896

Hyungsik Roger Moon, Laura Liu, Frank Schorfheide

Publication date: 4 February 2021

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: http://www.nber.org/papers/w27248.pdf

zbMATH Keywords

random effectspanel data modelsBayesian inferenceSIR modeldensity forecastsCovid-19interval forecasts

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Mathematical modeling or simulation for problems pertaining to biology (92-10)

Related Items (5)

Estimating and simulating a SIRD model of COVID-19 for many countries, states, and cities ⋮ A Dynamic Interaction Semiparametric Function-on-Scalar Model ⋮ The spread of COVID-19 in London: network effects and optimal lockdowns ⋮ Probabilistic Forecast Reconciliation under the Gaussian Framework ⋮ How to go viral: a COVID-19 model with endogenously time-varying parameters

Cites Work

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• Nonparametric empirical Bayes and compound decision approaches to estimation of a high-dimensional vector of normal means
• On the Comparison of Interval Forecasts
• Forecasting With Dynamic Panel Data Models
• The challenges of modeling and forecasting the spread of COVID-19
• The Probability Approach in Econometrics

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