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Productivity and unemployment: an ABM approach

Author

Listed:
  • Carlos M. Fernández-Márquez

    (Universidad Autónoma de Madrid)

  • Matías Fuentes

    (Universidad Nacional de San Martín)

  • Juan José Martínez

    (Universidad Nacional de San Martín)

  • Francisco J. Vázquez

    (Universidad Autónoma de Madrid)

Abstract

We investigate the relationship between productivity and unemployment with an ABM approach. In particular, we use the framework of Riccetti et al. (J Econ Interact Coord 10(2):305–332, 2015) to run computer simulations considering different levels of productivity and analyse the corresponding effects on unemployment. The simulation results show the emergence of a fluctuating pattern of the unemployment rate, the public deficit and the inflation rate as functions of productivity. The marked pattern of the unemployment rate in the model is empirically validated by the OECD database. This unexpected oscillating behaviour remains in subsequent simplifications of the baseline model. Thus, our approach allows us to explain the productivity–employment linkage as an emergent macroeconomic property of a complex system. We conclude that economic policies aimed at increasing labour productivity could have unintended side effects on the unemployment rate, the government deficit and the inflation rate, which should be explored and taken into account before the policy is implemented.

Suggested Citation

  • Carlos M. Fernández-Márquez & Matías Fuentes & Juan José Martínez & Francisco J. Vázquez, 2021. "Productivity and unemployment: an ABM approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 133-151, January.
  • Handle: RePEc:spr:jeicoo:v:16:y:2021:i:1:d:10.1007_s11403-020-00287-1
    DOI: 10.1007/s11403-020-00287-1
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    1. Francisco Fatas-Villafranca & Carlos M. Fernández-Márquez & Francisco J. Vázquez, 2019. "Consumer social learning and industrial dynamics," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 28(2), pages 119-141, February.
    2. Pascal Seppecher & Isabelle L Salle & Marc Lavoie, 2018. "What drives markups? Evolutionary pricing in an agent-based stock-flow consistent macroeconomic model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1045-1067.
    3. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    4. Leibenstein, Harvey, 1978. "On the Basic Proposition of X-Efficiency Theory," American Economic Review, American Economic Association, vol. 68(2), pages 328-332, May.
    5. Leibenstein, Harvey, 1978. "General X-Efficiency Theory and Economic Development," OUP Catalogue, Oxford University Press, number 9780195023800, Decembrie.
    6. Richard Bookstaber & Mark Paddrik & Brian Tivnan, 2018. "An agent-based model for financial vulnerability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 433-466, July.
    7. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Stock market dynamics, leveraged network-based financial accelerator and monetary policy," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 509-524.
    8. William A. Darity & Arthur H. Goldsmith, 1996. "Social Psychology, Unemployment and Macroeconomics," Journal of Economic Perspectives, American Economic Association, vol. 10(1), pages 121-140, Winter.
    9. Roger E.A. Farmer (ed.), 2008. "Macroeconomics in the Small and the Large," Books, Edward Elgar Publishing, number 13236.
    10. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Financialisation and crisis in an agent based macroeconomic model," Economic Modelling, Elsevier, vol. 52(PA), pages 162-172.
    11. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial factors in an agent-based macroeconomic model," Economics Discussion Papers 2013-9, Kiel Institute for the World Economy (IfW Kiel).
    12. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680, Decembrie.
    13. Goldsmith, Arthur H. & Veum, Jonathan R. & Darity, William Jr., 1996. "The psychological impact of unemployment and joblessness," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 25(3), pages 333-358.
    14. J. Doyne Farmer & Duncan Foley, 2009. "The economy needs agent-based modelling," Nature, Nature, vol. 460(7256), pages 685-686, August.
    15. 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.
    16. Horst Hanusch & Andreas Pyka (ed.), 2007. "Elgar Companion to Neo-Schumpeterian Economics," Books, Edward Elgar Publishing, number 2973.
    17. Giri, Federico & Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2019. "Monetary policy and large crises in a financial accelerator agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 42-58.
    18. Tesfatsion, Leigh S., 2002. "Agent-Based Computational Economics: Growing Economies from the Bottom Up," Staff General Research Papers Archive 5075, Iowa State University, Department of Economics.
    19. Riccetti, Luca & Russo, Alberto & Mauro, Gallegati, 2013. "Financial Regulation in an Agent Based Macroeconomic Model," MPRA Paper 51013, University Library of Munich, Germany.
    20. Alberto Russo & Luca Riccetti & Mauro Gallegati, 2016. "Increasing inequality, consumer credit and financial fragility in an agent based macroeconomic model," Journal of Evolutionary Economics, Springer, vol. 26(1), pages 25-47, March.
    21. Harvey Leibenstein, 1975. "Aspects of the X-Efficiency Theory of the Firm," Bell Journal of Economics, The RAND Corporation, vol. 6(2), pages 580-606, Autumn.
    22. Tesfatsion, Leigh, 2001. "Introduction to the special issue on agent-based computational economics," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 281-293, March.
    23. João Silvestre & Tanya Araújo & Miguel St. Aubyn, 2019. "Individual Satisfaction and Economic Growth in an Agent-Based Economy," Computational Economics, Springer;Society for Computational Economics, vol. 54(3), pages 893-903, October.
    24. T Assenza & P Colzani & D Delli Gatti & J Grazzini, 2018. "Does fiscal policy matter? Tax, transfer, and spend in a macro ABM with capital and credit," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1069-1090.
    25. Harvey Leibenstein, 1979. "X-Efficiency: From Concept to Theory," Challenge, Taylor & Francis Journals, vol. 22(4), pages 13-22, September.
    26. Rodolfo E. Manuelli, 2000. "Technological Change, the Labor Market and the Stock Market," NBER Working Papers 8022, National Bureau of Economic Research, Inc.
    27. Ricetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial leverage in an agent based macroeconomic model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-44.
    28. Christopher A. Pissarides, 2000. "Equilibrium Unemployment Theory, 2nd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262161877, December.
    29. Alberto Russo, 2017. "An Agent Based Macroeconomic Model with Social Classes and Endogenous Crises," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 285-306, November.
    30. Markus Günther & Christian Stummer, 2018. "Simulating the Diffusion of Competing Multi-generation Technologies: An Agent-Based Model and Its Application to the Consumer Computer Market in Germany," Operations Research Proceedings, in: Andreas Fink & Armin Fügenschuh & Martin Josef Geiger (ed.), Operations Research Proceedings 2016, pages 569-574, Springer.
    31. Andrea Mazzocchetti & Marco Raberto & Andrea Teglio & Silvano Cincotti, 2018. "Securitization and business cycle: an agent-based perspective," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 1091-1121.
    32. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2015. "An agent based decentralized matching macroeconomic model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 305-332, October.
    33. Atolia, Manoj & Chatterjee, Santanu & Turnovsky, Stephen J., 2012. "Growth and inequality: Dependence on the time path of productivity increases (and other structural changes)," Journal of Economic Dynamics and Control, Elsevier, vol. 36(3), pages 331-348.
    34. Giovanni Dosi & Giorgio Fagiolo & Andrea Roventini, 2006. "An Evolutionary Model of Endogenous Business Cycles," Computational Economics, Springer;Society for Computational Economics, vol. 27(1), pages 3-34, February.
    35. Ted O'Donoghue & Jason Somerville, 2018. "Modeling Risk Aversion in Economics," Journal of Economic Perspectives, American Economic Association, vol. 32(2), pages 91-114, Spring.
    36. Herbert Dawid & Michael Neugart, 2011. "Agent-based Models for Economic Policy Design," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 44-50.
    37. Rixen, Martin & Weigand, Jürgen, 2014. "Agent-based simulation of policy induced diffusion of smart meters," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 153-167.
    38. Stigler, George J, 1976. "The Xistence of X-Efficiency," American Economic Review, American Economic Association, vol. 66(1), pages 213-216, March.
    39. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2018. "Financial Regulation And Endogenous Macroeconomic Crises," Macroeconomic Dynamics, Cambridge University Press, vol. 22(4), pages 896-930, June.
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