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This RePEc Biblio topic is edited by Christian Zimmermann. It was first published on 2020-07-20 21:22:43 and last updated on 2020-12-29 14:15:54.

Most relevant research

  1. Charles F. Manski & Francesca Molinari, 2020. "Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem," NBER Working Papers 27023, National Bureau of Economic Research, Inc.
  2. Andrew Atkeson, 2020. "How Deadly Is COVID-19? Understanding The Difficulties With Estimation Of Its Fatality Rate," NBER Working Papers 26965, National Bureau of Economic Research, Inc.
  3. Charles F. Manski & Francesca Molinari, 2020. "Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem," Papers 2004.06178,
  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 27528, National Bureau of Economic Research, Inc.
  5. Sanjay Kumar, 2020. "Monitoring Novel Corona Virus (COVID-19) Infections in India by Cluster Analysis," Annals of Data Science, Springer, vol. 7(3), pages 417-425, September.
  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 2020-06, McMaster University.
  7. 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," Globalization Institute Working Papers 382, Federal Reserve Bank of Dallas.
  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 010, Cedeplar, Universidade Federal de Minas Gerais.
  9. Paolo BRUNORI & Giuliano RESCE, 2020. "Searching for the peak Google Trends and the Covid-19 outbreak in Italy," Working Papers - Economics wp2020_05.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
  10. Augusto Cerqua & Roberta Di Stefano & Marco Letta & Sara Miccoli, 2020. "Local mortality estimates during the COVID-19 pandemic in Italy," Working Papers 14/20, Sapienza University of Rome, DISS.
  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 13549, Institute of Labor Economics (IZA).
  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 535, Center for Global Development.
  13. Ali Horta su & Jiarui Liu & Timothy Schwieg, 2020. "Estimating the Fraction of Unreported Infections in Epidemics with a Known Epicenter: An Application to COVID-19," Working Papers 2020-37, Becker Friedman Institute for Research In Economics.
  14. Bonacini, Luca & Gallo, Giovanni & Patriarca, Fabrizio, 2020. "Identifying policy challenges of COVID-19 in hardly reliable data and judging the success of lockdown measures," GLO Discussion Paper Series 534 [pre.], Global Labor Organization (GLO).
  15. Fantazzini, Dean, 2020. "Short-term forecasting of the COVID-19 pandemic using Google Trends data: Evidence from 158 countries," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 59, pages 33-54.
  16. 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.
  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 2035, Aix-Marseille School of Economics, France.
  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, vol. 15(11), pages 1-10, November.
  19. Bollinger, Christopher R. & van Hasselt, Martijn, 2020. "Estimating the cumulative rate of SARS-CoV-2 infection," Economics Letters, Elsevier, vol. 197(C).
  20. Manski, Charles F. & Molinari, Francesca, 2021. "Estimating the COVID-19 infection rate: Anatomy of an inference problem," Journal of Econometrics, Elsevier, vol. 220(1), pages 181-192.