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This RePEc Biblio topic is edited by Christian Zimmermann. It was first published on 2020-07-17 03:57:45 and last updated on 2021-02-26 01:59:06.

Most relevant research

  1. Martín Gonzalez-Eiras & Dirk Niepelt, 2020. "Tractable Epidemiological Models for Economic Analysis," CESifo Working Paper Series 8342, CESifo.
  2. , 2020. "Replicating and Projecting the Path of COVID-19 with a Model-Implied Reproduction Number," Working Paper Series 2020-24, Federal Reserve Bank of San Francisco.
  3. Alejandro Rodríguez, 2020. "A SIR Macro Model: Comparing the Decentralized Economy and the Optimal Policy," CEMA Working Papers: Serie Documentos de Trabajo. 734, Universidad del CEMA.
  4. Céspedes, Luis Felipe & Chang, Roberto & Velasco, Andrés, 2020. "The Macroeconomics of a Pandemic: A Minimalist Model," CEPR Discussion Papers 14777, C.E.P.R. Discussion Papers.
  5. Cem Cakmakli & Yasin Simsek, 2021. "Bridging the COVID-19 Data and the Epidemiological Model using Time Varying Parameter SIRD Model," Koç University-TUSIAD Economic Research Forum Working Papers 2013, Koc University-TUSIAD Economic Research Forum.
  6. Luca Fornaro & Martin Wolf, 2020. "Covid-19 coronavirus and macroeconomic policy," Economics Working Papers 1713, Department of Economics and Business, Universitat Pompeu Fabra.
  7. Andreas Hornstein, 2020. "Social Distancing, Quarantine, Contact Tracing, and Testing: Implications of an Augmented SEIR Model," Working Paper 20-04, Federal Reserve Bank of Richmond.
  8. Francesco Flaviano Russo, 2020. "Epidemics and Policy: The Dismal Trade-off," CSEF Working Papers 570, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
  9. Glenn Ellison, 2020. "Implications of Heterogeneous SIR Models for Analyses of COVID-19," NBER Working Papers 27373, National Bureau of Economic Research, Inc.
  10. Chen, Zezhun & Dassios, Angelos & Kuan, Valerie & Lim, Jia Wei & Qu, Yan & Surya, Budhi & Zhao, Hongbiao, 2020. "A two-phase dynamic contagion model for Covid-19," LSE Research Online Documents on Economics 105064, London School of Economics and Political Science, LSE Library.
  11. Ernst-Ludwig von Thadden, 2020. "A Simple, Non-Recursive Model of the Spread of Covid-19 with Applications to Policy," CRC TR 224 Discussion Paper Series crctr224_2020_171, University of Bonn and University of Mannheim, Germany.
  12. Jesús Fernández-Villaverde & Charles I. Jones, 2020. "Estimating and Simulating a SIRD Model of COVID-19 for Many Countries, States, and Cities," NBER Working Papers 27128, National Bureau of Economic Research, Inc.
  13. Marius Clemens & Maik Heinemann, 2020. "Distributional Effects of the COVID-19 Lockdown," Discussion Papers of DIW Berlin 1874, DIW Berlin, German Institute for Economic Research.
  14. Alejandro Cuñat & Robert Zymek, 2020. "The (Structural) Gravity of Epidemics," CESifo Working Paper Series 8295, CESifo.
  15. Andrew Atkeson, 2020. "On Using SIR Models to Model Disease Scenarios for COVID-19," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 41(01), pages 1-35, June.
  16. Baskozos, Giorgos & Galanis, Giorgos & Di Guilmi, Corrado, 2020. "A Behavioural SIR Model and its Implications for Physical Distancing," CRETA Online Discussion Paper Series 58, Centre for Research in Economic Theory and its Applications CRETA.
  17. Andrea Aspri & Elena Beretta & Alberto Gandolfi & Etienne Wasmer, 2020. "Mortality containment vs. economics opening: optimal policies in a SEIARD model," Papers 2006.00085,
  18. Luiz Brotherhood & Philipp Kircher & Cezar Santos & Michèle Tertilt, 2020. "An Economic Model of the Covid-19 Epidemic: The Importance of Testing and Age-Specific Policies," CESifo Working Paper Series 8316, CESifo.
  19. Giorgos Baskozos & Giorgos Galanis & Corrado Di Guilmi, 2020. "Social distancing and contagion in a discrete choice model of COVID-19," CAMA Working Papers 2020-35, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  20. Pedro S Peixoto & Diego Marcondes & Cláudia Peixoto & Sérgio M Oliva, 2020. "Modeling future spread of infections via mobile geolocation data and population dynamics. An application to COVID-19 in Brazil," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-23, July.