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Analyzing Structural Reforms Using a Behavioral Macroeconomic Model

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  • Paul De Grauwe
  • Yuemei Ji

Abstract

We use a behavioral macroeconomic model to analyze how structural reforms affect the economy in the short and in the long run. We consider two types of structural reforms. The first one increases the flexibility of wages and prices; the second one raises potential output in the economy. We find that structural reforms that increase the flexibility of wages and prices can have profound effects on the dynamics of the business cycle. In addition, a structural reform program that raises potential output has a stronger long-term effect on output and tends to reduce the price level more in a flexible than in a rigid economy. Finally, we analyze how structural reforms change the tradeoffs between output and inflation variability. Our main finding here is that there is an optimal level of flexibility (produced by structural reforms).

Suggested Citation

  • Paul De Grauwe & Yuemei Ji, 2017. "Analyzing Structural Reforms Using a Behavioral Macroeconomic Model," CESifo Working Paper Series 6518, CESifo.
    • Handle: RePEc:ces:ceswps:_6518
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    1. Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2008. "Are output growth-rate distributions fat-tailed? some evidence from OECD countries," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(5), pages 639-669.
    2. Sajedi, Rana, 2018. "Fiscal consequences of structural reform under constrained monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 22-38.
    3. Cacciatore, Matteo & Fiori, Giuseppe & Ghironi, Fabio, 2016. "Market deregulation and optimal monetary policy in a monetary union," Journal of International Economics, Elsevier, vol. 99(C), pages 120-137.
    4. 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.
    5. Xavier Gabaix, 2014. "A Sparsity-Based Model of Bounded Rationality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1661-1710.
    6. David Colander & Peter Howitt & Alan Kirman & Axel Leijonhufvud & Perry Mehrling, 2018. "Beyond DSGE Models: Toward an Empirically Based Macroeconomics," Chapters, in: How Economics Should Be Done, chapter 14, pages 212-216, Edward Elgar Publishing.
    7. Alan P. Kirman, 1992. "Whom or What Does the Representative Individual Represent?," Journal of Economic Perspectives, American Economic Association, vol. 6(2), pages 117-136, Spring.
    8. Sandra Gomes & Pascal Jacquinot & Matthias Mohr & Massimiliano Pisani, 2013. "Structural Reforms and Macroeconomic Performance in the Euro Area Countries: A Model-Based Assessment," International Finance, Wiley Blackwell, vol. 16(1), pages 23-44, February.
    9. Alan Kirman, 1993. "Ants, Rationality, and Recruitment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 137-156.
    10. Matteo Cacciatore & Romain Duval & Giuseppe Fiori, 2012. "Short-Term Gain or Pain? A DSGE Model-Based Analysis of the Short-Term Effects of Structural Reforms in Labour and Product Markets," OECD Economics Department Working Papers 948, OECD Publishing.
    11. De Grauwe, Paul & Ji, Yuemei, 2016. "International correlation of business cycles in a behavioral macroeconomic model," CEPR Discussion Papers 11257, C.E.P.R. Discussion Papers.
    12. Ascari, Guido & Fagiolo, Giorgio & Roventini, Andrea, 2015. "Fat-Tail Distributions And Business-Cycle Models," Macroeconomic Dynamics, Cambridge University Press, vol. 19(2), pages 465-476, March.
    13. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
    14. Branch, William A. & Evans, George W., 2006. "Intrinsic heterogeneity in expectation formation," Journal of Economic Theory, Elsevier, vol. 127(1), pages 264-295, March.
    15. George A. Akerlof, 2009. "How Human Psychology Drives the Economy and Why It Matters," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1175-1175.
    16. Alex Brazier & Richard Harrison & Mervyn King & Tony Yates, 2008. "The Danger of Inflating Expectations of Macroeconomic Stability: Heuristic Switching in an Overlapping-Generations Monetary Model," International Journal of Central Banking, International Journal of Central Banking, vol. 4(2), pages 219-254, June.
    17. Giorgio Fagiolo & Mauro Napoletano & Marco Piazza & Andrea Roventini, 2009. "Detrending and the Distributional Properties of U.S. Output Time Series," Economics Bulletin, AccessEcon, vol. 29(4), pages 3155-3161.
    18. Westerhoff, Frank & Franke, Reiner, 2012. "Agent-based models for economic policy design: Two illustrative examples," BERG Working Paper Series 88, Bamberg University, Bamberg Economic Research Group.
    19. Sonnenschein, Hugo, 1972. "Market Excess Demand Functions," Econometrica, Econometric Society, vol. 40(3), pages 549-563, May.
    20. 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.
    21. Kahneman, Daniel, 2002. "Maps of Bounded Rationality," Nobel Prize in Economics documents 2002-4, Nobel Prize Committee.
    22. J. Doyne Farmer & Duncan Foley, 2009. "The economy needs agent-based modelling," Nature, Nature, vol. 460(7256), pages 685-686, August.
    23. Gatti, Domenico Delli & Guilmi, Corrado Di & Gaffeo, Edoardo & Giulioni, Gianfranco & Gallegati, Mauro & Palestrini, Antonio, 2005. "A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 489-512, April.
    24. William A. Brock & Cars H. Hommes, 1997. "A Rational Route to Randomness," Econometrica, Econometric Society, vol. 65(5), pages 1059-1096, September.
    25. Hommes, C.H. & Lustenhouwer, J., 2016. "Managing Heterogeneous and Unanchored Expectations: A Monetary Policy Analysis," CeNDEF Working Papers 16-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    26. Mr. Luc Everaert & Mr. Werner Schule, 2006. "Structural Reforms in the Euro Area: Economic Impact and Role of Synchronization Across Markets and Countries," IMF Working Papers 2006/137, International Monetary Fund.
    27. Paul De Grauwe, 2012. "Lectures on Behavioral Macroeconomics," Economics Books, Princeton University Press, edition 1, volume 1, number 9891.
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    Cited by:

    1. Nauro F. Campos & Paul De Grauwe & Yuemei Ji, 2017. "Structural Reforms, Growth and Inequality: An Overview of Theory, Measurement and Evidence," CESifo Working Paper Series 6812, CESifo.
    2. Campos, Nauro F. & De Grauwe, Paul & Ji, Yuemei, 2023. "Structural reforms and economic performance: the experience of advanced economies," LSE Research Online Documents on Economics 120870, London School of Economics and Political Science, LSE Library.

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    More about this item

    Keywords

    animal spirits; structural reforms; monetary policy;
    All these keywords.

    JEL classification:

    • E00 - Macroeconomics and Monetary Economics - - General - - - General

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