IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_7181.html
   My bibliography  Save this paper

Why is there so much Inertia in Inflation and Output? A Behavioral Explanation

Author

Listed:
  • Yuemei Ji

Abstract

Serial correlation in macroeconomics is pervasive. Macroeconomic modellers find it impossible to model this feature without relying on serially correlated shocks. Using a behavioral macroeconomic model, I show that serial correlation in inflation and output can easily be explained in the context that agents do not have rational expectation. This important feature is missing in the standard New Keynesian rational expectations models. The rational expectation models need serially correlated exogenous shocks to account for the high serial correlation in inflation and output while the behavioral model produces serial correlation in these variables endogenously. I also show that inertia in the beliefs about the future is a strong force in producing the serial correlation in inflation and output.

Suggested Citation

  • Yuemei Ji, 2018. "Why is there so much Inertia in Inflation and Output? A Behavioral Explanation," CESifo Working Paper Series 7181, CESifo.
  • Handle: RePEc:ces:ceswps:_7181
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp7181.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Luca Sala & Ulf Soderstrom & Antonella Trigari, 2010. "The Output Gap, the Labor Wedge, and the Dynamic Behavior of Hours," Working Papers 365, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    2. 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.
    3. Gerard O'Reilly & Karl Whelan, 2005. "Has Euro-Area Inflation Persistence Changed Over Time?," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 709-720, November.
    4. 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.
    5. Basistha, Arabinda & Nelson, Charles R., 2007. "New measures of the output gap based on the forward-looking new Keynesian Phillips curve," Journal of Monetary Economics, Elsevier, vol. 54(2), pages 498-511, March.
    6. Milani, Fabio, 2007. "Expectations, learning and macroeconomic persistence," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 2065-2082, October.
    7. Hommes, Cars & Zhu, Mei, 2014. "Behavioral learning equilibria," Journal of Economic Theory, Elsevier, vol. 150(C), pages 778-814.
    8. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2009. "New Keynesian Models: Not Yet Useful for Policy Analysis," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(1), pages 242-266, January.
    9. María Dolores Gadea & Laura Mayoral, 2006. "The Persistence of Inflation in OECD Countries: A Fractionally Integrated Approach," International Journal of Central Banking, International Journal of Central Banking, vol. 2(1), March.
    10. Özge Dilaver & Robert Calvert Jump & Paul Levine, 2018. "Agent‐Based Macroeconomics And Dynamic Stochastic General Equilibrium Models: Where Do We Go From Here?," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 1134-1159, September.
    11. Branch, William A. & Evans, George W., 2006. "Intrinsic heterogeneity in expectation formation," Journal of Economic Theory, Elsevier, vol. 127(1), pages 264-295, March.
    12. Pivetta, Frederic & Reis, Ricardo, 2007. "The persistence of inflation in the United States," Journal of Economic Dynamics and Control, Elsevier, vol. 31(4), pages 1326-1358, April.
    13. 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.
    14. Kahneman, Daniel, 2002. "Maps of Bounded Rationality," Nobel Prize in Economics documents 2002-4, Nobel Prize Committee.
    15. J. Doyne Farmer & Duncan Foley, 2009. "The economy needs agent-based modelling," Nature, Nature, vol. 460(7256), pages 685-686, August.
    16. Vetlov, Igor & Pisani, Massimiliano & Hlédik, Tibor & Jonsson, Magnus & Kucsera, Henrik, 2011. "Potential output in DSGE models," Working Paper Series 1351, European Central Bank.
    17. William A. Brock & Cars H. Hommes, 1997. "A Rational Route to Randomness," Econometrica, Econometric Society, vol. 65(5), pages 1059-1096, September.
    18. 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.
    19. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    20. Paul De Grauwe, 2012. "Lectures on Behavioral Macroeconomics," Economics Books, Princeton University Press, edition 1, volume 1, number 9891.
    21. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Paul De Grauwe & Yuemei Ji, 2019. "Inflation Targets and the Zero Lower Bound in a Behavioural Macroeconomic Model," Economica, London School of Economics and Political Science, vol. 86(342), pages 262-299, April.
    2. De Grauwe, Paul & Ji, Yuemei, 2017. "Structural Reforms and Monetary Policies in a Behavioural Macroeconomic Model," CEPR Discussion Papers 12336, C.E.P.R. Discussion Papers.
    3. De Grauwe, Paul & Ji, Yuemei, 2020. "Structural reforms, animal spirits, and monetary policies," European Economic Review, Elsevier, vol. 124(C).
    4. Paul De Grauwe & Yuemei Ji, 2017. "Analyzing Structural Reforms Using a Behavioral Macroeconomic Model," CESifo Working Paper Series 6518, CESifo.
    5. Paul De Grauwe & Yuemei Ji, 2017. "The International Synchronisation of Business Cycles: the Role of Animal Spirits," Open Economies Review, Springer, vol. 28(3), pages 383-412, July.
    6. Paul De Grauwe, 2012. "Lectures on Behavioral Macroeconomics," Economics Books, Princeton University Press, edition 1, volume 1, number 9891.
    7. De Grauwe, Paul & Ji, Yuemei, 2017. "Endogenous Asymmetric Shocks in the Eurozone. The Role of Animal Spirits," CEPR Discussion Papers 11887, C.E.P.R. Discussion Papers.
    8. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
    9. Paul Grauwe, 2010. "The scientific foundation of dynamic stochastic general equilibrium (DSGE) models," Public Choice, Springer, vol. 144(3), pages 413-443, September.
    10. 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.
    11. repec:hal:spmain:info:hdl:2441/dcditnq6282sbu1u151qe5p7f is not listed on IDEAS
    12. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    13. Paul De Grauwe, 2010. "Top-Down versus Bottom-Up Macroeconomics," CESifo Economic Studies, CESifo Group, vol. 56(4), pages 465-497, December.
    14. Paul De Grauwe & Yuemei Ji, 2021. "On the Use of Current or Forward-Looking Data in Monetary Policy: A Behavioural Macroeconomic Approach," CESifo Working Paper Series 8853, CESifo.
    15. Yuemei Ji, 2023. "Shock Therapy in Transition Countries: A Behavioral Macroeconomic Approach," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 65(3), pages 483-510, September.
    16. 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..
    17. De Grauwe, Paul & Gerba, Eddie, 2018. "The role of cognitive limitations and heterogeneous expectations for aggregate production and credit cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 206-236.
    18. Debes, Sebastian & Gareis, Johannes & Mayer, Eric & Rüth, Sebastian, 2014. "Towards a consumer sentiment channel of monetary policy," W.E.P. - Würzburg Economic Papers 91, University of Würzburg, Department of Economics.
    19. De Grauwe, Paul & Macchiarelli, Corrado, 2015. "Animal spirits and credit cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 59(C), pages 95-117.
    20. Bofinger, Peter & Debes, Sebastian & Gareis, Johannes & Mayer, Eric, 2013. "Monetary policy transmission in a model with animal spirits and house price booms and busts," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2862-2881.
    21. George W. Evans & Seppo Honkapohja, 2009. "Expectations, Learning and Monetary Policy: An Overview of Recent Research," Central Banking, Analysis, and Economic Policies Book Series, in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy under Uncertainty and Learning, edition 1, volume 13, chapter 2, pages 027-076, Central Bank of Chile.

    More about this item

    Keywords

    behavioral macroeconomics; serial correlation; inflation; output gap; inertia in belief; endogenous business cycle;
    All these keywords.

    JEL classification:

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ces:ceswps:_7181. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.