IDEAS home Printed from https://ideas.repec.org/p/tin/wpaper/20230028.html
   My bibliography  Save this paper

History-Dependent Monetary Regimes: A Lab Experiment and a Henk Model

Author

Listed:
  • Jasmina Arifovic

    (Simon Fraser University)

  • Isabelle Salle

    (University of Ottawa)

  • Hung Truong

    (Simon Fraser University)

Abstract

Price-level targeting (PLT) is optimal under the fully-informed rational expectations (FIRE) benchmark but lacks empirical support. Given the hurdles to the implementation of macroeconomic field experiments, we utilize a laboratory group experiment – where expectations are elicited from human subjects – to collect data on expectations, inflation and output dynamics under a traditional inflation targeting (IT) framework and a PLT regime with both deflationary and cost-push shocks. We then emulate the subjects’ expectations with a micro-founded heterogeneous-expectation New Keynesian (HENK) model and reproduce the macroeconomic dynamics observed in the lab. Both in the lab and in the HENK model, the benefits of PLT over an IT regime obtained under the FIRE assumption are not observed: both human subjects and HENK agents are unable to learn the underlying implications of PLT, which results in excess macroeconomic volatility. However, once augmented with an inflation guidance from the CB consistent with closing the price gap, the stabilizing benefits of PLT materialize both in the lab and in the model.

Suggested Citation

  • Jasmina Arifovic & Isabelle Salle & Hung Truong, 2023. "History-Dependent Monetary Regimes: A Lab Experiment and a Henk Model," Tinbergen Institute Discussion Papers 23-028/VI, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20230028
    as

    Download full text from publisher

    File URL: https://papers.tinbergen.nl/23028.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hommes, Cars & Makarewicz, Tomasz, 2021. "Price level versus inflation targeting under heterogeneous expectations: a laboratory experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 39-82.
    2. Francesco D'Acunto & Ulrike M. Malmendier & Michael Weber & Michael Weber, 2022. "What Do the Data Tell Us about Inflation Expectations?," CESifo Working Paper Series 9602, CESifo.
    3. Guerrieri, Luca & Iacoviello, Matteo, 2015. "OccBin: A toolkit for solving dynamic models with occasionally binding constraints easily," Journal of Monetary Economics, Elsevier, vol. 70(C), pages 22-38.
    4. William A. Branch, 2004. "The Theory of Rationally Heterogeneous Expectations: Evidence from Survey Data on Inflation Expectations," Economic Journal, Royal Economic Society, vol. 114(497), pages 592-621, July.
    5. Hommes, Cars & Lustenhouwer, Joep, 2019. "Inflation targeting and liquidity traps under endogenous credibility," Journal of Monetary Economics, Elsevier, vol. 107(C), pages 48-62.
    6. Mikhail Anufriev & Cars Hommes & Tomasz Makarewicz, 2019. "Simple Forecasting Heuristics that Make us Smart: Evidence from Different Market Experiments," Journal of the European Economic Association, European Economic Association, vol. 17(5), pages 1538-1584.
    7. Athanasios Orphanides & John Williams, 2004. "Imperfect Knowledge, Inflation Expectations, and Monetary Policy," NBER Chapters, in: The Inflation-Targeting Debate, National Bureau of Economic Research, Inc.
    8. William A. Brock & Cars H. Hommes, 1997. "A Rational Route to Randomness," Econometrica, Econometric Society, vol. 65(5), pages 1059-1096, September.
    9. Cars Hommes, 2021. "Behavioral and Experimental Macroeconomics and Policy Analysis: A Complex Systems Approach," Journal of Economic Literature, American Economic Association, vol. 59(1), pages 149-219, March.
    10. Philippe Andrade & Gaetano Gaballo & Eric Mengus & Benoît Mojon, 2019. "Forward Guidance and Heterogeneous Beliefs," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(3), pages 1-29, July.
    11. Mikhail Anufriev & Cars Hommes, 2012. "Evolutionary Selection of Individual Expectations and Aggregate Outcomes in Asset Pricing Experiments," American Economic Journal: Microeconomics, American Economic Association, vol. 4(4), pages 35-64, November.
    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. Svensson, Lars E O, 1999. "Price-Level Targeting versus Inflation Targeting: A Free Lunch?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 31(3), pages 277-295, August.
    14. Emanuel Gasteiger, 2014. "Heterogeneous Expectations, Optimal Monetary Policy, and the Merit of Policy Inertia," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(7), pages 1535-1554, October.
    15. Olena Kostyshyna & Luba Petersen & Jing Yang, 2022. "A Horse Race of Monetary Policy Regimes: An Experimental Investigation," Staff Working Papers 22-33, Bank of Canada.
    16. Rholes, Ryan & Petersen, Luba, 2021. "Should central banks communicate uncertainty in their projections?," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 320-341.
    17. Isabelle Salle, 2021. "What to Target? Insights from a Lab Experiment," Staff Working Papers 21-53, Bank of Canada.
    18. Tolga Özden, 2021. "Heterogeneous Expectations and the Business Cycle at the Effective Lower Bound," Working Papers 714, DNB.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Salle, Isabelle L., 2023. "What to target? Insights from a lab experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 514-533.

    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. Goy, Gavin & Hommes, Cars & Mavromatis, Kostas, 2022. "Forward guidance and the role of central bank credibility under heterogeneous beliefs," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1240-1274.
    2. repec:awi:wpaper:0715 is not listed on IDEAS
    3. Gavin Goy & Cars Homme & Kostas Mavromatis, 2018. "Forward Guidance and the Role of Central Bank Credibility," DNB Working Papers 614, Netherlands Central Bank, Research Department.
    4. Kukacka, Jiri & Sacht, Stephen, 2023. "Estimation of heuristic switching in behavioral macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    5. Annicchiarico, Barbara & Surricchio, Silvia & Waldmann, Robert J., 2019. "A behavioral model of the credit cycle," Journal of Economic Behavior & Organization, Elsevier, vol. 166(C), pages 53-83.
    6. Galanis, Giorgos & Kollias, Iraklis & Leventidis, Ioanis & Lustenhouwer, Joep, 2022. "Generalizing Heterogeneous Dynamic Heuristic Selection," CRETA Online Discussion Paper Series 73, Centre for Research in Economic Theory and its Applications CRETA.
    7. Beqiraj, Elton & Di Bartolomeo, Giovanni & Di Pietro, Marco, 2019. "Beliefs formation and the puzzle of forward guidance power," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 20-32.
    8. Hommes, Cars & Lustenhouwer, Joep, 2019. "Managing unanchored, heterogeneous expectations and liquidity traps," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 1-16.
    9. Domenico Delli Gatti & Gabriele Iannotta, 2022. "Behavioural credit cycles," DISCE - Working Papers del Dipartimento di Economia e Finanza def119, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    10. Hagenhoff, Tim, 2018. "An aggregate welfare optimizing interest rate rule under heterogeneous expectations," BERG Working Paper Series 139, Bamberg University, Bamberg Economic Research Group.
    11. Gasteiger, Emanuel & Grimaud, Alex, 2023. "Price setting frequency and the Phillips curve," European Economic Review, Elsevier, vol. 158(C).
    12. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    13. Tolga Özden, 2021. "Heterogeneous Expectations and the Business Cycle at the Effective Lower Bound," Working Papers 714, DNB.
    14. Mauersberger, Felix, 2021. "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, vol. 197(C).
    15. Gasteiger, Emanuel, 2018. "Do Heterogeneous Expectations Constitute A Challenge For Policy Interaction?," Macroeconomic Dynamics, Cambridge University Press, vol. 22(8), pages 2107-2140, December.
    16. Bertasiute, Akvile & Massaro, Domenico & Weber, Matthias, 2020. "The behavioral economics of currency unions: Economic integration and monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 112(C).
    17. Leonid Serkov & Sergey Krasnykh, 2023. "The Specific Behavior of Economic Agents with Heterogeneous Expectations in the New Keynesian Model with Rigid Prices and Wages," Mathematics, MDPI, vol. 11(4), pages 1-17, February.
    18. Cars Hommes & Anita Kopányi-Peuker & Joep Sonnemans, 2021. "Bubbles, crashes and information contagion in large-group asset market experiments," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 414-433, June.
    19. Assenza, T. & Heemeijer, P. & Hommes, C.H. & Massaro, D., 2021. "Managing self-organization of expectations through monetary policy: A macro experiment," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 170-186.
    20. Tiziana Assenza & Te Bao & Cars Hommes & Domenico Massaro, 2014. "Experiments on Expectations in Macroeconomics and Finance," Research in Experimental Economics, in: Experiments in Macroeconomics, volume 17, pages 11-70, Emerald Group Publishing Limited.
    21. Elias, Christopher J., 2022. "Adaptive learning with heterogeneous expectations in an estimated medium-scale New Keynesian model," Journal of Macroeconomics, Elsevier, vol. 71(C).

    More about this item

    Keywords

    heterogeneous expectations; learning; central bank communication; lab experiments;
    All these keywords.

    JEL classification:

    • E7 - Macroeconomics and Monetary Economics - - Macro-Based Behavioral Economics
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior

    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:tin:wpaper:20230028. 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: Tinbergen Office +31 (0)10-4088900 (email available below). General contact details of provider: https://edirc.repec.org/data/tinbenl.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.