IDEAS home Printed from https://ideas.repec.org/p/ann/wpaper/3-2020.html
   My bibliography  Save this paper

To freeze or not to freeze? Epidemic prevention and control in the DSGE model with agent-based epidemic component

Author

Listed:
  • Jagoda Kaszowska-Mojsa

    (Institute of Economics Polish Academy of Sciences)

  • Przemyslaw Wlodarczyk

    (University of Lodz)

Abstract

The ongoing epidemic of COVID-19 raises numerous questions concerning the shape and range of state interventions, that are aimed at reduction of the number of infections and deaths. The lockdowns, which became the most popular response worldwide, are assessed as being an outdated and economically inefficient way to fight the disease. However, in the absence of efficient cures and vaccines they lack viable alternatives. In this paper we assess the economic consequences of epidemic prevention and control schemes that were introduced in order to respond to the COVID-19 outburst. The analyses report the results of epidemic simulations obtained with the agent-based modeling methods under different response schemes and use them in order to provide conditional forecasts of standard economic variables. The forecasts are obtained from the DSGE model with labour market component.

Suggested Citation

  • Jagoda Kaszowska-Mojsa & Przemyslaw Wlodarczyk, 2020. "To freeze or not to freeze? Epidemic prevention and control in the DSGE model with agent-based epidemic component," Lodz Economics Working Papers 3/2020, University of Lodz, Faculty of Economics and Sociology.
    • Handle: RePEc:ann:wpaper:3/2020
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/11089/32520
    File Function: First version, 2020
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abel, Andrew B, 1990. "Asset Prices under Habit Formation and Catching Up with the Joneses," American Economic Review, American Economic Association, vol. 80(2), pages 38-42, May.
    2. Lawrence Christiano & Mathias Trabandt & Karl Walentin, 2021. "Involuntary Unemployment and the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 39, pages 26-54, January.
    3. Acemoglu, Daron & Woodford, Michael (ed.), 2012. "NBER Macroeconomics Annual 2011," National Bureau of Economic Research Books, University of Chicago Press, number 9780226002149, July.
    4. Jordi Galí & Frank Smets & Rafael Wouters, 2012. "Unemployment in an Estimated New Keynesian Model," NBER Macroeconomics Annual, University of Chicago Press, vol. 26(1), pages 329-360.
    5. Oscar Jorda & Sanjay R. Singh & Alan M. Taylor, 2022. "Longer-Run Economic Consequences of Pandemics," The Review of Economics and Statistics, MIT Press, vol. 104(1), pages 166-175, March.
    6. Martin S Eichenbaum & Sergio Rebelo & Mathias Trabandt, 2021. "The Macroeconomics of Epidemics [Economic activity and the spread of viral diseases: Evidence from high frequency data]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5149-5187.
    7. 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.
    8. Dixit, Avinash K & Stiglitz, Joseph E, 1977. "Monopolistic Competition and Optimum Product Diversity," American Economic Review, American Economic Association, vol. 67(3), pages 297-308, June.
    9. Veronica Guerrieri & Guido Lorenzoni & Ludwig Straub & Iván Werning, 2022. "Macroeconomic Implications of COVID-19: Can Negative Supply Shocks Cause Demand Shortages?," American Economic Review, American Economic Association, vol. 112(5), pages 1437-1474, May.
    10. Silva, Petrônio C.L. & Batista, Paulo V.C. & Lima, Hélder S. & Alves, Marcos A. & Guimarães, Frederico G. & Silva, Rodrigo C.P., 2020. "COVID-ABS: An agent-based model of COVID-19 epidemic to simulate health and economic effects of social distancing interventions," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    11. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    12. Elizabeth Hunter & Brian Mac Namee & John D. Kelleher, 2017. "A Taxonomy for Agent-Based Models in Human Infectious Disease Epidemiology," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(3), pages 1-2.
    13. Brotherhood, Luiz & Kircher, Philipp & Santos, Cezar & Tertilt, Michèle, 2020. "An economic model of the Covid-19 epidemic: The importance of testing and age-specific policies," CEPR Discussion Papers 14695, C.E.P.R. Discussion Papers.
    14. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    15. King, Robert G. & Plosser, Charles I. & Rebelo, Sergio T., 1988. "Production, growth and business cycles : I. The basic neoclassical model," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 195-232.
    16. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    17. Alexis Akira Toda, 2020. "Susceptible-Infected-Recovered (SIR) Dynamics of COVID-19 and Economic Impact," Papers 2003.11221, arXiv.org, revised Mar 2020.
    18. Merz, Monika, 1995. "Search in the labor market and the real business cycle," Journal of Monetary Economics, Elsevier, vol. 36(2), pages 269-300, November.
    19. Jill Bigley Dunham, 2005. "An Agent-Based Spatially Explicit Epidemiological Model in MASON," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(1), pages 1-3.
    20. Lawrence Christiano & Mathias Trabandt & Karl Walentin, 2021. "Involuntary Unemployment and the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 39, pages 26-54, January.
    21. Brotherhood, Luiz & Kircher, Philipp & Santos, Cezar & Tertilt, Michèle, 2020. "An economic model of the Covid-19 epidemic: The importance of testing and age-specific policies," CEPR Discussion Papers 14695, C.E.P.R. Discussion Papers.
    22. Yang, Yang & Zhang, Hongru & Chen, Xiang, 2020. "Coronavirus pandemic and tourism: Dynamic stochastic general equilibrium modeling of infectious disease outbreak," Annals of Tourism Research, Elsevier, vol. 83(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kwiatkowski Eugeniusz & Szymańska Agata, 2022. "Sectoral changes of employment in Poland during the COVID-19 pandemic: Are reallocation shock effects applicable?," Economics and Business Review, Sciendo, vol. 8(2), pages 113-144, July.
    2. Yugang He & Yinhui Wang, 2022. "Macroeconomic Effects of COVID-19 Pandemic: Fresh Evidence from Korea," Sustainability, MDPI, vol. 14(9), pages 1-14, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jordi Galí, 2011. "The Return Of The Wage Phillips Curve," Journal of the European Economic Association, European Economic Association, vol. 9(3), pages 436-461, June.
    2. Sergio A. Lago Alves, 2018. "Monetary Policy, Trend Inflation, and Unemployment Volatility," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(4), pages 637-673, June.
    3. Ginters Bušs & Patrick Grüning, 2023. "Fiscal DSGE model for Latvia," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 23(1), pages 2173915-217.
    4. Alexander Mihailov & Giovanni Razzu & Zhe Wang, 2019. "Heterogeneous effects of single monetary policy on unemployment rates in the largest EMU economies," Economics Discussion Papers em-dp2019-07, Department of Economics, University of Reading.
    5. Jordi Galí & Frank Smets & Rafael Wouters, 2012. "Unemployment in an Estimated New Keynesian Model," NBER Macroeconomics Annual, University of Chicago Press, vol. 26(1), pages 329-360.
    6. Lindé, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks´ Macro Models," Working Paper Series 323, Sveriges Riksbank (Central Bank of Sweden).
    7. Lawrence Christiano & Mathias Trabandt & Karl Walentin, 2021. "Involuntary Unemployment and the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 39, pages 26-54, January.
    8. Barseghyan Gayane, 2013. "An Estimated Dynamic Stochastic General Equilibrium Model for Armenian Economy," EERC Working Paper Series 13/11e, EERC Research Network, Russia and CIS.
    9. Sala, Luca & Söderström, Ulf & Trigari, Antonella, 2010. "The Output Gap, the Labor Wedge, and the Dynamic Behavior of Hours," Working Paper Series 246, Sveriges Riksbank (Central Bank of Sweden).
    10. Sergio A. Lago Alves, 2012. "Trend Inflation and the Unemployment Volatility Puzzle," Working Papers Series 277, Central Bank of Brazil, Research Department.
    11. Francesco Furlanetto & Nicolas Groshenny, 2016. "Mismatch Shocks and Unemployment During the Great Recession," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1197-1214, November.
    12. Christiano, Lawrence J. & Trabandt, Mathias & Walentin, Karl, 2010. "DSGE Models for Monetary Policy Analysis," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 7, pages 285-367, Elsevier.
    13. Przemysław Włodarczyk, 2018. "Rynek pracy w modelu nowej syntezy neoklasycznej ze sztywnościami płac nominalnych," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 4, pages 51-92.
    14. Francesco Furlanetto & Nicolas Groshenny, "undated". "Mismatch Shocks and Unemployment During the Great Recession," School of Economics Working Papers 2015-14, University of Adelaide, School of Economics.
    15. Bisin, Alberto & Moro, Andrea, 2022. "JUE insight: Learning epidemiology by doing: The empirical implications of a Spatial-SIR model with behavioral responses," Journal of Urban Economics, Elsevier, vol. 127(C).
    16. Lawrence J. Christiano & Martin S. Eichenbaum & Mathias Trabandt, 2016. "Unemployment and Business Cycles," Econometrica, Econometric Society, vol. 84(4), pages 1523-1569, July.
    17. Kawther Alimi & Mohamed Chakroun, 2022. "Wage Rigidity Impacts on Unemployment and Inflation Persistence in Tunisia: Evidence from an Estimated DSGE Model," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 474-500, March.
    18. Amélie Barbier‐Gauchard & Thierry Betti, 2021. "Spillover effects of fiscal policy in a monetary union: Why do fiscal instruments matter?," Bulletin of Economic Research, Wiley Blackwell, vol. 73(1), pages 1-33, January.
    19. Alejandro Justiniano & Giorgio E. Primiceri & Andrea Tambalotti, 2013. "Is There a Trade-Off between Inflation and Output Stabilization?," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 1-31, April.
    20. Jean Boivin & Marc P. Giannoni, 2006. "Has Monetary Policy Become More Effective?," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 445-462, August.

    More about this item

    Keywords

    COVID-19; agent-based modelling; dynamic stochastic general equilibrium models; scenario analyses;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D5 - Microeconomics - - General Equilibrium and Disequilibrium

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ann:wpaper:3/2020. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: LEWP Editors (email available below). General contact details of provider: https://edirc.repec.org/data/welodpl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.