Analysis of Virus Transmission: A Stochastic Transition Model Representation of Epidemiological Models
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- M. Hashem Pesaran & Cynthia Fan Yang, 2022.
"Matching theory and evidence on Covid‐19 using a stochastic network SIR model,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1204-1229, September.
- M. Hashem Pesaran & Cynthia Fan Yang, 2020. "Matching Theory and Evidence on Covid-19 Using a Stochastic Network SIR Model," CESifo Working Paper Series 8695, CESifo.
- M. Hashem Pesaran & Cynthia Fan Yang, 2021. "Matching Theory and Evidence on Covid-19 using a Stochastic Network SIR Model," Papers 2109.00321, arXiv.org, revised Jan 2022.
- Pesaran, M. H. & Yang, C. F., 2020. "Matching Theory and Evidence on Covid-19 using a Stochastic Network SIR Model," Cambridge Working Papers in Economics 20102, Faculty of Economics, University of Cambridge.
- Sean Elliott & Christian Gourieroux, 2020. "Uncertainty on the Reproduction Ratio in the SIR Model," Papers 2012.11542, arXiv.org.
- Jean-Paul Renne & Guillaume Roussellet & Gustavo Schwenkler, 2020. "Preventing COVID-19 Fatalities: State versus Federal Policies," Papers 2010.15263, arXiv.org, revised Dec 2020.
- Sean ELLIOTT & Christian GOURIEROUX, 2020. "Uncertainty on the Reproduction Ratio in the SIR Model," Working Papers 2020-31, Center for Research in Economics and Statistics.
More about this item
KeywordsCovid-19; Epidemiological Model; SIR Model; Transition Model; State-Space Representation;
All these keywords.
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
- I10 - Health, Education, and Welfare - - Health - - - General
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