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Statistical Modelling

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This RePEc Biblio topic is edited by Christian Zimmermann. It was first published on 2020-07-21 00:55:01 and last updated on 2020-12-29 22:33:16.

Most relevant research

  1. Dong, C. & Gao, J. & Linton, O. & Peng, B., 2020. "On Time Trend of COVID-19: A Panel Data Study," Cambridge Working Papers in Economics 2065, Faculty of Economics, University of Cambridge.
  2. Arianna Agosto & Paolo Giudici, 2020. "A Poisson Autoregressive Model to Understand COVID-19 Contagion Dynamics," Risks, MDPI, Open Access Journal, vol. 8(3), pages 1-8, July.
  3. Tadeusz Kufel, 2020. "ARIMA-based forecasting of the dynamics of confirmed Covid-19 cases for selected European countries," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 15(2), pages 181-204, June.
  4. David Benatia & Raphael Godefroy & Joshua Lewis, 2020. "Estimating COVID-19 prevalence in the United States: A sample selection model approach," Cahiers de recherche 2020-04, Universite de Montreal, Departement de sciences economiques.
  5. Fernández-Villaverde, Jesús & Jones, Charles I, 2020. "Estimating and Simulating a SIRD Model of COVID-19 for Many Countries, States, and Cities," CEPR Discussion Papers 14711, C.E.P.R. Discussion Papers.
  6. Andrew Atkeson & Karen Kopecky & Tao Zha, 2020. "Estimating and Forecasting Disease Scenarios for COVID-19 with an SIR Model," NBER Working Papers 27335, National Bureau of Economic Research, Inc.
  7. Adam Golinski & Peter Spencer, 2020. "Modeling the Covid-19 Epidemic Using Time Series Econometrics," Discussion Papers 20/06, Department of Economics, University of York.
  8. William D. Larson & Tara M. Sinclair, 2020. "Nowcasting Unemployment Insurance Claims in the Time of COVID-19," FHFA Staff Working Papers 20-02, Federal Housing Finance Agency.
  9. Christian GOURIEROUX & Joann JASIAK, 2020. "Time Varying Markov Process with Partially Observed Aggregate Data; An Application to Coronavirus," Working Papers 2020-11, Center for Research in Economics and Statistics, revised 08 May 2020.
  10. Alexander Chudik & M. Hashem Pesaran & Alessandro Rebucci, 2020. "Voluntary and Mandatory Social Distancing: Evidence on COVID-19 Exposure Rates from Chinese Provinces and Selected Countries," NBER Working Papers 27039, National Bureau of Economic Research, Inc.
  11. Se Yoon Lee & Bowen Lei & Bani Mallick, 2020. "Estimation of COVID-19 spread curves integrating global data and borrowing information," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-17, July.
  12. Michał Wieczorek & Jakub Siłka & Dawid Połap & Marcin Woźniak & Robertas Damaševičius, 2020. "Real-time neural network based predictor for cov19 virus spread," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-18, December.
  13. , 2020. "Economics and Epidemics: Evidence from an Estimated Spatial Econ-SIR Model," Finance and Economics Discussion Series 2020-091, Board of Governors of the Federal Reserve System (U.S.).
  14. Weshah Razzak, 2020. "The Dynamic of COVID-19 New Infections under Different Stringent Policies," Discussion Papers 2007, School of Economics and Finance, Massey University, New Zealand.
  15. Paul Ho & Thomas A. Lubik & Christian Matthes, 2020. "How To Go Viral: A COVID-19 Model with Endogenously Time-Varying Parameters," Working Paper 20-10, Federal Reserve Bank of Richmond.
  16. Chudik, A. & Mohaddes, K. & Pesaran, M. H. & Raissi, M. & Rebucci, A., 2020. "A Counterfactual Economic Analysis of Covid-19 Using a Threshold Augmented Multi-Country Model," Cambridge Working Papers in Economics 2088, Faculty of Economics, University of Cambridge.