[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/66445.html
   My bibliography  Save this paper

Over consumption. A horse race of Bayesian DSGE models

Author

Listed:
  • Argentiero, Amedeo
  • Bovi, Maurizio
  • Cerqueti, Roy
Abstract
Standard dynamic stochastic general equilibrium (DSGE) models are populated by fully-informed-optimising Muth-rational agents. This kind of agent is at odds with well-known psychological biases, not to mention real life people. In particular, there are strong theoretical and empirical reasons to believe that consumers are overly optimistic. Also, the size of over optimism is likely to show cyclical features. In this paper we simulate two DSGE models, one standard with Muth-rational consumers, the other different just because agents are allowed to over consume. We then compare them throughout different cyclical phases. Results show that taking into account psychological biases allows the DSGE to fit better actual data in the long-run and in an economic boom scenario. Recessions are instead characterized by pessimism. We also find that over consumption is a structural trait. Moreover, booms enlarge significantly the magnitude of the bias. These findings are in line with - and enrich - both the economic and psychological literature, implying i) that the business cycle has a non trivial psychological content, and ii) that the size of psychological biases is affected by macroeconomic evolutions.

Suggested Citation

  • Argentiero, Amedeo & Bovi, Maurizio & Cerqueti, Roy, 2015. "Over consumption. A horse race of Bayesian DSGE models," MPRA Paper 66445, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:66445
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/66445/1/MPRA_paper_66445.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gali­, Jordi & Monacelli, Tommaso, 2008. "Optimal monetary and fiscal policy in a currency union," Journal of International Economics, Elsevier, vol. 76(1), pages 116-132, September.
    2. Markus K. Brunnermeier & Jonathan A. Parker, 2005. "Optimal Expectations," American Economic Review, American Economic Association, vol. 95(4), pages 1092-1118, September.
    3. Paul De Grauwe, 2012. "Booms and busts: New Keynesian and behavioural explanations," Chapters, in: Robert M. Solow & Jean-Philippe Touffut (ed.), What’s Right with Macroeconomics?, chapter 6, pages 149-180, Edward Elgar Publishing.
    4. Bovi, Maurizio, 2009. "Economic versus psychological forecasting. Evidence from consumer confidence surveys," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 563-574, August.
    5. Christiano, Lawrence J & Eichenbaum, Martin, 1992. "Current Real-Business-Cycle Theories and Aggregate Labor-Market Fluctuations," American Economic Review, American Economic Association, vol. 82(3), pages 430-450, June.
    6. Ricardo J. Caballero, 2010. "Macroeconomics after the Crisis: Time to Deal with the Pretense-of-Knowledge Syndrome," Journal of Economic Perspectives, American Economic Association, vol. 24(4), pages 85-102, Fall.
    7. Farmer, Roger, 2010. "Animal Spirits, Persistent Unemployment and the Belief Function," CEPR Discussion Papers 8100, C.E.P.R. Discussion Papers.
    8. Koellinger, Philipp & Minniti, Maria & Schade, Christian, 2007. ""I think I can, I think I can": Overconfidence and entrepreneurial behavior," Journal of Economic Psychology, Elsevier, vol. 28(4), pages 502-527, August.
    9. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    10. Fabio Milani, 2011. "Expectation Shocks and Learning as Drivers of the Business Cycle," Economic Journal, Royal Economic Society, vol. 121(552), pages 379-401, May.
    11. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    12. Nir Jaimovich & Sergio Rebelo, 2007. "Behavioral Theories of the Business Cycle," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 361-368, 04-05.
    13. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    14. Richard T. Curtin, 2003. "Unemployment Expectations: The Impact of Private Information on Income Uncertainty," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 49(4), pages 539-554, December.
    15. Charles F. Manski, 2011. "Policy Analysis with Incredible Certitude," Economic Journal, Royal Economic Society, vol. 121(554), pages 261-289, August.
    16. Dan Lovallo & Colin Camerer, 1999. "Overconfidence and Excess Entry: An Experimental Approach," American Economic Review, American Economic Association, vol. 89(1), pages 306-318, March.
    17. Hashem M. Pesaran & Ron P. Smith, 2011. "Beyond the DSGE Straitjacket," CESifo Working Paper Series 3447, CESifo.
    18. King, Robert G. & Rebelo, Sergio T., 1999. "Resuscitating real business cycles," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 14, pages 927-1007, Elsevier.
    19. Abreu, Margarida & Mendes, Victor, 2012. "Information, overconfidence and trading: Do the sources of information matter?," Journal of Economic Psychology, Elsevier, vol. 33(4), pages 868-881.
    20. 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.
    21. Fellner, Gerlinde & Krügel, Sebastian, 2012. "Judgmental overconfidence: Three measures, one bias?," Journal of Economic Psychology, Elsevier, vol. 33(1), pages 142-154.
    Full references (including those not matched with items on IDEAS)

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Over consumption. A horse race of Bayesian DSGE models
      by Christian Zimmermann in NEP-DGE blog on 2015-09-23 00:47:11

    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. Argentiero, Amedeo & Bovi, Maurizio & Cerqueti, Roy, 2016. "Bayesian estimation and entropy for economic dynamic stochastic models: An exploration of overconsumption," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 143-157.
    2. Steinar Holden, 2012. "Implications of insights from behavioral economics for macroeconomic models," Working Paper 2012/12, Norges Bank.
    3. Driscoll, John C. & Holden, Steinar, 2014. "Behavioral economics and macroeconomic models," Journal of Macroeconomics, Elsevier, vol. 41(C), pages 133-147.
    4. Andrei Polbin & Sergey Drobyshevsky, 2014. "Developing a Dynamic Stochastic Model of General Equilibrium for the Russian Economy," Research Paper Series, Gaidar Institute for Economic Policy, issue 166P, pages 156-156.
    5. Lawrence J. Christiano & Martin S. Eichenbaum & Mathias Trabandt, 2018. "On DSGE Models," Journal of Economic Perspectives, American Economic Association, vol. 32(3), pages 113-140, Summer.
    6. Dimitris Papageorgiou, 2014. "BoGGEM: a dynamic stochastic general equilibrium model for policy simulations," Working Papers 182, Bank of Greece.
    7. Gbaguidi, David, 2012. "La courbe de Phillips : temps d’arbitrage et/ou arbitrage de temps," L'Actualité Economique, Société Canadienne de Science Economique, vol. 88(1), pages 87-119, mars.
    8. Argentiero, Amedeo & Cerqueti, Roy & Sabatini, Fabio, 2021. "Does social capital explain the Solow residual? A DSGE approach," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 35-53.
    9. Givens, Gregory E., 2011. "Unemployment insurance in a sticky-price model with worker moral hazard," Journal of Economic Dynamics and Control, Elsevier, vol. 35(8), pages 1192-1214, August.
    10. Alexei Onatski & Noah Williams, 2010. "Empirical and policy performance of a forward‐looking monetary model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 145-176, January.
    11. Marc P. Giannoni & Jean Boivin, 2005. "DSGE Models in a Data-Rich Environment," Computing in Economics and Finance 2005 431, Society for Computational Economics.
    12. Stähler, Nikolai & Thomas, Carlos, 2012. "FiMod — A DSGE model for fiscal policy simulations," Economic Modelling, Elsevier, vol. 29(2), pages 239-261.
    13. Juan Pablo Medina & Claudio Soto, 2007. "The Chilean Business Cycles Through the Lens of a Stochastic General Equilibrium Model," Working Papers Central Bank of Chile 457, Central Bank of Chile.
    14. Eric M. Leeper & Nora Traum & Todd B. Walker, 2017. "Clearing Up the Fiscal Multiplier Morass," American Economic Review, American Economic Association, vol. 107(8), pages 2409-2454, August.
    15. Hirose, Yasuo, 2020. "An Estimated Dsge Model With A Deflation Steady State," Macroeconomic Dynamics, Cambridge University Press, vol. 24(5), pages 1151-1185, July.
    16. Benjamin D. Keen & Evan F. Koenig, 2018. "How Robust Are Popular Models of Nominal Frictions?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(6), pages 1299-1342, September.
    17. Stephanie Schmitt-Grohe & Martin Uribe, 2004. "Optimal Operational Monetary Policy in the Christiano-Eichenbaum-Evans Model of the U.S. Business Cycle," NBER Working Papers 10724, National Bureau of Economic Research, Inc.
    18. Yang, Shanran & Shi, Benye & Yang, Fujia, 2023. "Macroeconomic impact of the Sino–U.S. trade frictions: Based on a two-country, two-sector DSGE model," Research in International Business and Finance, Elsevier, vol. 65(C).
    19. Lemoine, Matthieu & Lindé, Jesper, 2016. "Fiscal consolidation under imperfect credibility," European Economic Review, Elsevier, vol. 88(C), pages 108-141.
    20. Özer Karagedikli & Troy Matheson & Christie Smith & Shaun P. Vahey, 2010. "RBCs AND DSGEs: THE COMPUTATIONAL APPROACH TO BUSINESS CYCLE THEORY AND EVIDENCE," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 113-136, February.

    More about this item

    Keywords

    DSGE models; Psychological Biases; Business Cycle.;
    All these keywords.

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • E03 - Macroeconomics and Monetary Economics - - General - - - Behavioral Macroeconomics
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    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:pra:mprapa:66445. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.