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A Parsimonious Macroeconomic ABM for Labor Market Regulations

Author

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  • Caner Ates
  • Dietmar Maringer

Abstract

The literature on macroeconomic agent-based models (MABMs) has gained growing attention since the early 2000s. Most MABMs dealing with market regulations have been focusing on the financial market. In contrast, only a small number of MABMs investigate the effects of labor market regulations. In this paper, we provide a parsimonious yet extendable agent-based model that focuses on labor market dynamics within a macroeconomic framework, suitable to analyze labor market regulations such as minimum wages and employment protection legislations. The model is stock-flow-consistent and small-scaled, i.e., there are only workers and firms interacting in the goods and in the labor market. There are two different types of workers, namely skilled and unskilled, and firms produce according to a CES production function. This allows for substitutability between the two types of workers. A one-factor-at-a-time (OFAT) sensitivity analysis is performed to gain insights into the mechanisms and patterns produced by the model. Results show that the model is sensitive to the minimum wage parameter and that for reasonable values of the minimum wage, income inequality decreases, while aggregate consumption rises. Overall, the results suggest that the model can be used to further investigate aggregate and distributional effects of labor market regulations.

Suggested Citation

  • Caner Ates & Dietmar Maringer, 2021. "A Parsimonious Macroeconomic ABM for Labor Market Regulations," LEM Papers Series 2021/46, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  • Handle: RePEc:ssa:lemwps:2021/46
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    References listed on IDEAS

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    1. Seppecher, Pascal, 2012. "Flexibility Of Wages And Macroeconomic Instability In An Agent-Based Computational Model With Endogenous Money," Macroeconomic Dynamics, Cambridge University Press, vol. 16(S2), pages 284-297, September.
    2. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    3. Guus ten Broeke & George van Voorn & Arend Ligtenberg, 2016. "Which Sensitivity Analysis Method Should I Use for My Agent-Based Model?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(1), pages 1-5.
    4. Neugart, Michael, 2008. "Labor market policy evaluation with ACE," Journal of Economic Behavior & Organization, Elsevier, vol. 67(2), pages 418-430, August.
    5. Dosi, Giovanni & Fagiolo, Giorgio & Roventini, Andrea, 2010. "Schumpeter meeting Keynes: A policy-friendly model of endogenous growth and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1748-1767, September.
    6. 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.
    7. 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.
    8. Olivier Goudet & Jean-Daniel Kant & Gérard Ballot, 2017. "WorkSim: A Calibrated Agent-Based Model of the Labor Market Accounting for Workers’ Stocks and Gross Flows," Computational Economics, Springer;Society for Computational Economics, vol. 50(1), pages 21-68, June.
    9. Boudreau, James W., 2010. "Stratification and growth in agent-based matching markets," Journal of Economic Behavior & Organization, Elsevier, vol. 75(2), pages 168-179, August.
    10. Assenza, Tiziana & Cardaci, Alberto & Delli Gatti, Domenico & Grazzini, Jakob, 2018. "Policy experiments in an agent-based model with credit networks," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-17.
    11. Uwe Cantner & Elias Dinopoulos & Robert F. Lanzillotti (ed.), 2005. "Entrepreneurships, the New Economy and Public Policy," Springer Books, Springer, number 978-3-540-26994-6, September.
    12. Domenico Gatti & Saul Desiderio, 2015. "Monetary policy experiments in an agent-based model with financial frictions," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 265-286, October.
    13. 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.
    14. Marc Lavoie, 1992. "Foundations of Post-Keynesian Economic Analysis," Books, Edward Elgar Publishing, number 275.
    15. repec:hal:spmain:info:hdl:2441/3kbkotqp1b85pa2lu2puri38p6 is not listed on IDEAS
    16. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108414999.
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    Keywords

    Labor market; minimum wage; stock-flow consistent; macroeconomic agent-based model; CATS.;
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