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Statistical Modelling

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This RePEc Biblio topic is edited by Christian Zimmermann (pzi1). 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, Faculty of Economics, University of Cambridge, number 2065, Jun.
  2. Arianna Agosto & Paolo Giudici, 2020, "A Poisson Autoregressive Model to Understand COVID-19 Contagion Dynamics," Risks, MDPI, volume 8, issue 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, volume 15, issue 2, pages 181-204, June, DOI: 10.24136/eq.2020.009.
  4. David Benatia & Raphael Godefroy & Joshua Lewis, 2020, "Estimating COVID-19 prevalence in the United States: A sample selection model approach," Cahiers de recherche, Universite de Montreal, Departement de sciences economiques, number 2020-04, Apr.
  5. Fernández-Villaverde, Jesús & Jones, Chad, 2020, "Estimating and Simulating a SIRD Model of COVID-19 for Many Countries, States, and Cities," CEPR Discussion Papers, Centre for Economic Policy Research, number 14711, May.
  6. Andrew Atkeson & Karen Kopecky & Tao Zha, 2020, "Estimating and Forecasting Disease Scenarios for COVID-19 with an SIR Model," NBER Working Papers, National Bureau of Economic Research, Inc, number 27335, Jun.
  7. Adam Golinski & Peter Spencer, 2020, "Modeling the Covid-19 Epidemic Using Time Series Econometrics," Discussion Papers, Department of Economics, University of York, number 20/06, May.
  8. William D. Larson & Tara M. Sinclair, 2020, "Nowcasting Unemployment Insurance Claims in the Time of COVID-19," FHFA Staff Working Papers, Federal Housing Finance Agency, number 20-02, Jun.
  9. Christian GOURIEROUX & Joann JASIAK, 2020, "Time Varying Markov Process with Partially Observed Aggregate Data; An Application to Coronavirus," Working Papers, Center for Research in Economics and Statistics, number 2020-11, Mar, 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, National Bureau of Economic Research, Inc, number 27039, Apr.
  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, volume 15, issue 7, pages 1-17, July, DOI: 10.1371/journal.pone.0236860.
  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, volume 15, issue 12, pages 1-18, December, DOI: 10.1371/journal.pone.0243189.
  13. Mark Bognanni & Douglas Hanley & Daniel Kolliner & Kurt Mitman, 2020, "Economics and Epidemics: Evidence from an Estimated Spatial Econ-SIR Model," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2020-091, Oct, DOI: 10.17016/FEDS.2020.091.
  14. Weshah Razzak, 2020, "The Dynamic of COVID-19 New Infections under Different Stringent Policies," Discussion Papers, School of Accountancy, Economics and Finance, Massey University, New Zealand, number 2007.
  15. Paul Ho & Thomas A. Lubik & Christian Matthes, 2020, "How To Go Viral: A COVID-19 Model with Endogenously Time-Varying Parameters," Working Paper, Federal Reserve Bank of Richmond, number 20-10, Aug, DOI: 10.21144/wp20-10.
  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, Faculty of Economics, University of Cambridge, number 2088, Sep.