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Growth, unemployment and heterogeneity

Author

Listed:
  • Piero Ferri

    (University of Bergamo)

  • Annalisa Cristini

    (University of Bergamo)

  • Anna Maria Variato

    (University of Bergamo)

Abstract

The paper analyzes unemployment in a medium-run growth model, where aggregate demand and supply interact, using a top-down approach. The aim of the essay is the study of a nonlinear system where both aggregate demand and supply are endogenous and generate bounded unemployment, followed by a methodological effort direct to identify possible lines of convergence with the agent based models (ABM) approach. This is a by-product of the presence of heterogeneity in the model. Heterogeneity acts through two different channels and operates among class of agents: it comes into the aggregate consumption function where households are assumed employed or unemployed; it changes the learning process of pessimists and optimists. The analysis is carried on through simulations. The resulting system is fairly stable to changes in main structural parameters. On one hand, autonomous demand drives the dynamics of the system, while heterogeneity in the consumption function, due to the presence of unemployment, strengthens the links with supply aspects. On the other hand, both the rate of growth of labor productivity and labor supply are endogenous. Two major results are obtained. First, unemployment allows the so called Harrodian reconciliation between aggregate demand and supply. Second, unemployment remains bounded meaning that the interaction between aggregate demand and supply thwarts instability. These results are in keeping with those obtained by means of a bottom-up approach, typical of ABM. Possible explanations and implications of this convergence are put forward and open the venue to further deepening of complementarities among the two modeling strategies.

Suggested Citation

  • Piero Ferri & Annalisa Cristini & Anna Maria Variato, 2019. "Growth, unemployment and heterogeneity," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 573-593, September.
  • Handle: RePEc:spr:jeicoo:v:14:y:2019:i:3:d:10.1007_s11403-019-00244-7
    DOI: 10.1007/s11403-019-00244-7
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    References listed on IDEAS

    as
    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. Eusepi, Stefano & Preston, Bruce, 2015. "Consumption heterogeneity, employment dynamics and macroeconomic co-movement," Journal of Monetary Economics, Elsevier, vol. 71(C), pages 13-32.
    4. Paul De Grauwe, 2014. "Animal Spirits and Monetary Policy," World Scientific Book Chapters, in: Exchange Rates and Global Financial Policies, chapter 18, pages 473-520, World Scientific Publishing Co. Pte. Ltd..
    5. Marc Lavoie, 2014. "Post-Keynesian Economics: New Foundations," Post-Print hal-01343652, HAL.
    6. Philippe Aghion & Peter Howitt, 1994. "Growth and Unemployment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(3), pages 477-494.
    7. 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.
    8. Pascal Michaillat, 2012. "Do Matching Frictions Explain Unemployment? Not in Bad Times," American Economic Review, American Economic Association, vol. 102(4), pages 1721-1750, June.
    9. Mark Setterfield (ed.), 2010. "Handbook of Alternative Theories of Economic Growth," Books, Edward Elgar Publishing, number 12814.
    10. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    11. William A. Brock & Cars H. Hommes, 1997. "A Rational Route to Randomness," Econometrica, Econometric Society, vol. 65(5), pages 1059-1096, September.
    12. William A. Brock & Cars H. Hommes, 2001. "A Rational Route to Randomness," Chapters, in: W. D. Dechert (ed.), Growth Theory, Nonlinear Dynamics and Economic Modelling, chapter 16, pages 402-438, Edward Elgar Publishing.
    13. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2017. "Micro and macro policies in the Keynes+Schumpeter evolutionary models," Journal of Evolutionary Economics, Springer, vol. 27(1), pages 63-90, January.
    14. J. Bradford DeLong & Lawrence H. Summers, 2012. "Fiscal Policy in a Depressed Economy," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 44(1 (Spring), pages 233-297.
    15. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
    16. repec:kap:iaecre:v:16:y:2010:i:3:p:297-310 is not listed on IDEAS
    17. Robert E. Hall, 2009. "Reconciling Cyclical Movements in the Marginal Value of Time and the Marginal Product of Labor," Journal of Political Economy, University of Chicago Press, vol. 117(2), pages 281-323, April.
    18. Malley, James R & Moutos, Thomas, 1996. "Unemployment and Consumption," Oxford Economic Papers, Oxford University Press, vol. 48(4), pages 584-600, October.
    19. Luigi L. Pasinetti, 1962. "Rate of Profit and Income Distribution in Relation to the Rate of Economic Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 29(4), pages 267-279.
    20. Piero Ferri, 2016. "Aggregate Demand, Inequality and Instability," Books, Edward Elgar Publishing, number 17444.
    21. Piero Ferri & Anna Variato, 2010. "Uncertainty and Learning in Stochastic Macro Models," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 16(3), pages 297-310, August.
    22. Robert E. Hall, 2017. "High Discounts and High Unemployment," American Economic Review, American Economic Association, vol. 107(2), pages 305-330, February.
    23. Steven M Fazzari & Piero Ferri & Anna Maria Variato, 2020. "Demand-led growth and accommodating supply," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 44(3), pages 583-605.
    24. John McCombie, 2002. "Increasing Returns and the Verdoorn Law from a Kaldorian Perspective," Palgrave Macmillan Books, in: John McCombie & Maurizio Pugno & Bruno Soro (ed.), Productivity Growth and Economic Performance, chapter 4, pages 64-114, Palgrave Macmillan.
    25. Thomas I. Palley, 2012. "Growth, Unemployment And Endogenous Technical Progress: A Hicksian Resolution Of Harrod'S Knife-Edge," Metroeconomica, Wiley Blackwell, vol. 63(3), pages 512-541, July.
    26. Ali Alichi & Mr. Kory Kantenga & Mr. Juan Sole, 2016. "Income Polarization in the United States," IMF Working Papers 2016/121, International Monetary Fund.
    27. Piero Ferri, 2011. "Macroeconomics of Growth Cycles and Financial Instability," Books, Edward Elgar Publishing, number 14260.
    28. repec:hal:spmain:info:hdl:2441/1a9acst1l284eo8kvqrqrnlbl1 is not listed on IDEAS
    29. J. Bradford DeLong & Lawrence H. Summers, 2012. "Fiscal Policy in a Depressed Economy," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(1 (Spring), pages 233-297.
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    Cited by:

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    More about this item

    Keywords

    Bounded unemployment; Medium-run growth; Endogenous supply; Heterogeneity; Instability; Learning; Top-down and bottom-up methodologies;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor

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