Your path in the tree: Start > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Health > Measurement

Measurement

Narrower topics in the RePEc Biblio tree


This RePEc Biblio topic is edited by Christian Zimmermann (pzi1). It was first published on 2020-07-20 21:22:43 and last updated on 2021-03-17 04:16:17.

Most relevant research

  1. Sean ELLIOTT & Christian GOURIEROUX, 2020, "Uncertainty on the Reproduction Ratio in the SIR Model," Working Papers, Center for Research in Economics and Statistics, number 2020-31, Dec.
  2. Andrew Atkeson, 2020, "How Deadly Is COVID-19? Understanding The Difficulties With Estimation Of Its Fatality Rate," NBER Working Papers, National Bureau of Economic Research, Inc, number 26965, Apr.
  3. Charles F. Manski & Francesca Molinari, 2020, "Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem," Papers, arXiv.org, number 2004.06178, Apr.
  4. Karl M. Aspelund & Michael C. Droste & James H. Stock & Christopher D. Walker, 2020, "Identification and Estimation of Undetected COVID-19 Cases Using Testing Data from Iceland," NBER Working Papers, National Bureau of Economic Research, Inc, number 27528, Jul.
  5. Sanjay Kumar, 2020, "Monitoring Novel Corona Virus (COVID-19) Infections in India by Cluster Analysis," Annals of Data Science, Springer, volume 7, issue 3, pages 417-425, September, DOI: 10.1007/s40745-020-00289-7.
  6. Sokbae Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2020, "Sparse HP Filter: Finding Kinks in the COVID-19 Contact Rate," Department of Economics Working Papers, McMaster University, number 2020-06, Jun.
  7. Liu, Laura & Moon, Hyungsik Roger & Schorfheide, Frank, 2021, "Panel forecasts of country-level Covid-19 infections," Journal of Econometrics, Elsevier, volume 220, issue 1, pages 2-22, DOI: 10.1016/j.jeconom.2020.08.010.
  8. Leonardo Costa Ribeiro & Américo Tristão Bernardes, 2020, "Estimate of underreporting of COVID-19 in Brazil by Acute Respiratory Syndrome hospitalization reports," Notas Técnicas Cedeplar-UFMG, Cedeplar, Universidade Federal de Minas Gerais, number 010, Apr.
  9. Paolo BRUNORI & Giuliano RESCE, 2020, "Searching for the peak Google Trends and the Covid-19 outbreak in Italy," Working Papers - Economics, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa, number wp2020_05.rdf.
  10. Augusto Cerqua & Roberta Di Stefano & Marco Letta & Sara Miccoli, 2020, "Local mortality estimates during the COVID-19 pandemic in Italy," Working Papers, Sapienza University of Rome, DISS, number 14/20, Jul.
  11. Decerf, Benoit & Ferreira, Francisco H. G. & Mahler, Daniel Gerszon & Sterck, Olivier, 2020, "Lives and Livelihoods: Estimates of the Global Mortality and Poverty Effects of the COVID-19 Pandemic," IZA Discussion Papers, IZA Network @ LISER, number 13549, Jul.
  12. Selene Ghisolfi & Ingvild Almås & Justin Sandefur & Tillmann von Carnap & Jesse Heitner & Tessa Bold, 2020, "Predicted COVID-19 Fatality Rates Based on Age, Sex, Comorbidities, and Health System Capacity," Working Papers, Center for Global Development, number 535, Jun.
  13. Ali Hortaçsu & Jiarui Liu & Timothy Schwieg, 2020, "Estimating the Fraction of Unreported Infections in Epidemics with a Known Epicenter: An Application to COVID-19," Working Papers, Becker Friedman Institute for Research In Economics, number 2020-37.
  14. Christelle Baunez & Mickael Degoulet & Stéphane Luchini & Matteo L. Pintus, 2020, "The Acceleration Index as a Test-Controlled Reproduction Number: Application to COVID-19 in France," AMSE Working Papers, Aix-Marseille School of Economics, France, number 2045, Dec.
  15. Dean Fantazzini, 2020, "Short-term forecasting of the COVID-19 pandemic using Google Trends data: Evidence from 158 countries," Applied Econometrics, Russian Academy of National Economy and Public Administration (RANEPA), volume 59, pages 33-54.
  16. Domenico Depalo, 2021, "True COVID-19 mortality rates from administrative data," Journal of Population Economics, Springer;European Society for Population Economics, volume 34, issue 1, pages 253-274, January, DOI: 10.1007/s00148-020-00801-6.
  17. Christelle Baunez & Mickael Degoulet & Stéphane Luchini & Patrick A. Pintus, 2020, "Tracking the Dynamics and Allocating Tests for COVID-19 in Real-Time: an Acceleration Index with an Application to French Age Groups and Départements," AMSE Working Papers, Aix-Marseille School of Economics, France, number 2035, Nov.
  18. Soo Beom Choi & Insung Ahn, 2020, "Forecasting imported COVID-19 cases in South Korea using mobile roaming data," PLOS ONE, Public Library of Science, volume 15, issue 11, pages 1-10, November, DOI: 10.1371/journal.pone.0241466.
  19. Bollinger, Christopher R. & van Hasselt, Martijn, 2020, "Estimating the cumulative rate of SARS-CoV-2 infection," Economics Letters, Elsevier, volume 197, issue C, DOI: 10.1016/j.econlet.2020.109652.
  20. Toulis, Panos, 2021, "Estimation of Covid-19 prevalence from serology tests: A partial identification approach," Journal of Econometrics, Elsevier, volume 220, issue 1, pages 193-213, DOI: 10.1016/j.jeconom.2020.10.005.