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Structural change, income distribution and unemployment related to Covid-19: An agent-based model

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  • Schütz, Bernhard
  • Reiter, Oliver
  • Landesmann, Michael
  • Jovanović, Branimir

Abstract

We study the distributional consequences of the Covid-19 pandemic within the framework of a stock-flow consistent agent-based model that captures some of the aspects of pandemic-related lockdowns. The model distinguishes between ‘essential’ and ‘non-essential’ industries, between jobs that can be done from home and jobs that must be carried out on site. We find that the pandemic leads to a significant increase in inequality, mostly driven by market concentration and firms raising mark-ups in the aftermath of the pandemic, contributing to higher prices and a rising profit share. Government-financed short-time working schemes and loan guarantees reduce the rise in firm liquidations and income inequality (the ‘Keynesian’ result). However, we also find that the absence of government policies leads to higher levels of productivity and GDP in the aftermath of the crisis, as it means that more of the less productive firms face liquidation during lockdowns (the ‘Schumpeterian’ result).

Suggested Citation

  • Schütz, Bernhard & Reiter, Oliver & Landesmann, Michael & Jovanović, Branimir, 2025. "Structural change, income distribution and unemployment related to Covid-19: An agent-based model," Structural Change and Economic Dynamics, Elsevier, vol. 74(C), pages 61-84.
  • Handle: RePEc:eee:streco:v:74:y:2025:i:c:p:61-84
    DOI: 10.1016/j.strueco.2025.02.013
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    1. Hacıoğlu-Hoke, Sinem & Känzig, Diego R. & Surico, Paolo, 2021. "The distributional impact of the pandemic," European Economic Review, Elsevier, vol. 134(C).
    2. Sabrina Wulff Pabilonia & Victoria Vernon, 2025. "Remote work, wages, and hours worked in the United States," Journal of Population Economics, Springer;European Society for Population Economics, vol. 38(1), pages 1-49, March.
    3. Marc Lavoie, 1992. "Foundations of Post-Keynesian Economic Analysis," Books, Edward Elgar Publishing, number 275, August.
    4. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
    5. Patrick Mellacher & Timon Scheuer, 2021. "Wage Inequality, Labor Market Polarization and Skill-Biased Technological Change: An Evolutionary (Agent-Based) Approach," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 233-278, August.
    6. Amitava Dutt, 2012. "Distributional dynamics in Post Keynesian growth models," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 34(3), pages 431-452.
    7. Jappelli, Tullio & Christelis, Dimitris & Georgarakos, Dimitris & Kenny, Geoff, 2020. "The Covid-19 Crisis and Consumption: Survey Evidence from Six EU Countries," CEPR Discussion Papers 15525, C.E.P.R. Discussion Papers.
    8. Natalie Cox & Peter Ganong & Pascal Noel & Joseph Vavra & Arlene Wong & Diana Farrell & Fiona Greig & Erica Deadman, 2020. "Initial Impacts of the Pandemic on Consumer Behavior: Evidence from Linked Income, Spending, and Savings Data," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(2 (Summer), pages 35-82.
    9. Alessandra Casarico & Salvatore Lattanzio, 2022. "The heterogeneous effects of COVID-19 on labor market flows: evidence from administrative data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(3), pages 537-558, September.
    10. Alessandro Basurto & Herbert Dawid & Philipp Harting & Jasper Hepp & Dirk Kohlweyer, 2023. "How to design virus containment policies? A joint analysis of economic and epidemic dynamics under the COVID-19 pandemic," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 311-370, April.
    11. Adams-Prassl, Abi & Boneva, Teodora & Golin, Marta & Rauh, Christopher, 2020. "Inequality in the impact of the coronavirus shock: Evidence from real time surveys," Journal of Public Economics, Elsevier, vol. 189(C).
    12. Alberto Alesina & Filipe R. Campante & Guido Tabellini, 2008. "Why is Fiscal Policy Often Procyclical?," Journal of the European Economic Association, MIT Press, vol. 6(5), pages 1006-1036, September.
    13. Asger Lau Andersen & Emil Toft Hansen & Niels Johannesen & Adam Sheridan, 2022. "Consumer responses to the COVID‐19 crisis: evidence from bank account transaction data," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(4), pages 905-929, October.
    14. Dhruv Sharma & Jean-Philippe Bouchaud & Stanislao Gualdi & Marco Tarzia & Francesco Zamponi, 2021. "V–, U–, L– or W–shaped economic recovery after Covid-19: Insights from an Agent Based Model," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-22, March.
    15. Jakob Kapeller & Michael A Landesmann & Franz X Mohr & Bernhard Schütz, 2018. "Government policies and financial crises: mitigation, postponement or prevention? [Net fiscal stimulus during the Great Recession]," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 42(2), pages 309-330.
    16. Paiella, Monica, 2007. "Does wealth affect consumption? Evidence for Italy," Journal of Macroeconomics, Elsevier, vol. 29(1), pages 189-205, March.
    17. Karel Havik & Kieran Mc Morrow & Fabrice Orlandi & Christophe Planas & Rafal Raciborski & Werner Roeger & Alessandro Rossi & Anna Thum-Thysen & Valerie Vandermeulen, 2014. "The Production Function Methodology for Calculating Potential Growth Rates & Output Gaps," European Economy - Economic Papers 2008 - 2015 535, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    18. Albuquerque, Bruno & Green, Georgina, 2023. "Financial concerns and the marginal propensity to consume in COVID times: Evidence from UK survey data," Journal of Macroeconomics, Elsevier, vol. 78(C).
    19. Claudius Graebner-Radkowitsch & Anna Hornykewycz & Bernhard Schuetz, 2022. "The emergence of debt and secular stagnation in an unequal society: a stockflow consistent agent-based approach," ICAE Working Papers 135, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    20. Matthew Greenwood-Nimmo, 2014. "Inflation targeting monetary and fiscal policies in a two-country stock–flow-consistent model," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 38(4), pages 839-867.
    21. Leitner, Sandra M. & Reiter, Oliver, 2024. "The response of labour demand to different COVID-19 containment measures: evidence from online job postings in Austria," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 58, pages 1-17.
    22. John Hurley & Marta Fana & Dragoș Adăscăliței & Giovanna Mazzeo Ortolani & Irene Mandl & Eleonora Peruffo & Carlos Vacas-Soriano, 2021. "What just happened? COVID-19 lockdowns and change in the labour market," JRC Research Reports JRC126857, Joint Research Centre.
    23. Gräbner-Radkowitsch, Claudius & Heimberger, Philipp & Kapeller, Jakob & Landesmann, Michael & Schütz, Bernhard, 2022. "The evolution of debtor-creditor relationships within a monetary union: Trade imbalances, excess reserves and economic policy," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 262-289.
    24. Dhruv Sharma & Jean-Philippe Bouchaud & Stanislao Gualdi & Marco Tarzia & Francesco Zamponi, 2020. "V-, U-, L-, or W-shaped economic recovery after COVID: Insights from an Agent Based Model," Papers 2006.08469, arXiv.org, revised Feb 2021.
    25. SOSTERO Matteo & BISELLO Martina & FERNANDEZ MACIAS Enrique, 2024. "Telework by region and the impact of COVID-19 pandemic: An occupational analysis," JRC Working Papers on Labour, Education and Technology 2024-02, Joint Research Centre.
    26. Alessandro Caiani & Ermanno Catullo & Mauro Gallegati, 2018. "The effects of fiscal targets in a monetary union: a multi-country agent-based stock flow consistent model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1123-1154.
    27. Domenico Delli Gatti & Severin Reissl, 2022. "Agent-Based Covid economics (ABC): Assessing non-pharmaceutical interventions and macro-stabilization policies [Optimal Targeted Lockdowns in a Multi-Group SIR Model]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(2), pages 410-447.
    28. Francesca Carta & Marta De Philippis, 2021. "The impact of the COVID-19 shock on labour income inequality: evidence from Italy," Questioni di Economia e Finanza (Occasional Papers) 606, Bank of Italy, Economic Research and International Relations Area.
    29. Luís M B Cabral & José Mata, 2003. "On the Evolution of the Firm Size Distribution: Facts and Theory," American Economic Review, American Economic Association, vol. 93(4), pages 1075-1090, September.
    30. Steven C. Salop, 1979. "Monopolistic Competition with Outside Goods," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 141-156, Spring.
    31. Bernhard Schuetz, 2022. "Investment booms, diverging competitiveness and wage growth within a monetary union: An AB-SFC model," ICAE Working Papers 138, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
    32. Yannis Dafermos, 2018. "Debt cycles, instability and fiscal rules: a Godley–Minsky synthesis," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 42(5), pages 1277-1313.
    33. Georg Fischer & Michael Landesmann, 2021. "The Covid Crisis: Occupational Impacts in EU Economies and Policy Suggestions," wiiw Policy Notes 53, The Vienna Institute for International Economic Studies, wiiw.
    34. Christophe Deissenberg & Sander van Der Hoog & Herbert Dawid, 2008. "EURACE: A Massively Parallel Agent-Based Model of the European Economy," Working Papers halshs-00339756, HAL.
    35. Jonathan Cribb & Monica Costa Dias & Richard Blundell & Robert Joyce & Thomas Wernham & Tom Waters & Xiaowei Xu, 2022. "Inequality and the COVID-19 Crisis in the United Kingdom," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 607-636, August.
    36. Robert Stehrer, 2001. "Expenditure Levels, Prices and Consumption Patterns in a Cross-Sectioin of Countries," wiiw Working Papers 18, The Vienna Institute for International Economic Studies, wiiw.
    37. Caiani, Alessandro & Godin, Antoine & Caverzasi, Eugenio & Gallegati, Mauro & Kinsella, Stephen & Stiglitz, Joseph E., 2016. "Agent based-stock flow consistent macroeconomics: Towards a benchmark model," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 375-408.
    38. Landais, Camille & Bounie, David & Camara, Youssouf & Fize, Etienne & Galbraith, John W. & Lavest, Chloe & Pazem, Tatiana & Savatier, Baptiste, 2020. "Consumption Dynamics in the COVID Crisis: Real Time Insights from French Transaction & Bank Data," CEPR Discussion Papers 15474, C.E.P.R. Discussion Papers.
    39. Assenza, Tiziana & Delli Gatti, Domenico & Grazzini, Jakob, 2015. "Emergent dynamics of a macroeconomic agent based model with capital and credit," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 5-28.
    40. Sabrina Wulff Pabilonia & Victoria Vernon, 2022. "Telework, Wages, and Time Use in the United States," Review of Economics of the Household, Springer, vol. 20(3), pages 687-734, September.
    41. Isabella M. Webe & Evan Wasner, 2023. "Sellers’ inflation, profits and conflict: why can large firms hike prices in an emergency?," Review of Keynesian Economics, Edward Elgar Publishing, vol. 11(2), pages 183-213, April.
    42. Mellacher, Patrick, 2020. "COVID-Town: An Integrated Economic-Epidemiological Agent-Based Model," MPRA Paper 103661, University Library of Munich, Germany.
    43. Nikolaidi, Maria, 2014. "Margins of safety and instability in a macrodynamic model with Minskyan insights," Structural Change and Economic Dynamics, Elsevier, vol. 31(C), pages 1-16.
    44. Jasper Hepp, 2022. "Being small at the right moment: Path dependence after a shift in the technological regime [What Happened to U.S. Business Dynamism? Working Paper 25756]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(2), pages 464-499.
    45. Dosi, G. & Pereira, M.C. & Roventini, A. & Virgillito, M.E., 2022. "Technological paradigms, labour creation and destruction in a multi-sector agent-based model," Research Policy, Elsevier, vol. 51(10).
    46. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    47. Herbert Dawid & Simon Gemkow, 2014. "How do social networks contribute to wage inequality? Insights from an agent-based analysis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 23(5), pages 1171-1200.
    48. Laura Carvalho & Corrado Di Guilmi, 2020. "Technological unemployment and income inequality: a stock-flow consistent agent-based approach," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 39-73, January.
    49. Dosi, Giovanni & Fagiolo, Giorgio & Napoletano, Mauro & Roventini, Andrea, 2013. "Income distribution, credit and fiscal policies in an agent-based Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1598-1625.
    50. Herbert Dawid & Jasper Hepp, 2022. "Distributional effects of technological regime changes: hysteresis, concentration and inequality dynamics," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 137-167, April.
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    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E25 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Aggregate Factor Income Distribution
    • E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes

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