IDEAS home Printed from https://ideas.repec.org/p/sur/surrec/0817.html
   My bibliography  Save this paper

Internal Rationality, Learning and Imperfect Information

Author

Listed:
  • Szabolcs Deák

    (University of Surrey)

  • Paul Levine

    (University of Surrey)

  • Joseph Pearlman

    (City University)

  • Bo Yang

    (Swansea University)

Abstract

We construct, estimate and explore the monetary policy consequences of a New Keynesian (NK) behavioural model with bounded-rationality and heterogeneous agents. We radically depart from most existing models of this genre in our treatment of bounded rationality and learning. Instead of the usual Euler learning approach, we assume that agents are internally rational (IR) given their beliefs of aggregate states and prices. The model is inhabited by fully rational (RE) and IR agents where the latter use simple heuristic rules to forecast aggregate variables exogenous to their micro-environment. We nd that IR results in an NK model with more persistence and a smaller policy space for rule parameters that induce stability and determinacy. In the most general form of the model, agents learn from their forecasting errors by observing and comparing them with those under RE making the composition of the two types endogenous. In a Bayesian estimation with xed proportions of RE and IR agents and a general heuristic forecasting rule we nd that a pure IR model ts the data better than the pure RE case. However, the latter with imperfect rather than the standard perfect information assumption outperforms IR (easily) and RE-IR composites (slightly), but second moment comparisons suggest that the RE-IR composite can match data better. Our ndings suggest that Kalman- ltering learning with RE can match bounded-rationality in matching persistence seen in the data.

Suggested Citation

  • Szabolcs Deák & Paul Levine & Joseph Pearlman & Bo Yang, 2017. "Internal Rationality, Learning and Imperfect Information," School of Economics Discussion Papers 0817, School of Economics, University of Surrey.
  • Handle: RePEc:sur:surrec:0817
    as

    Download full text from publisher

    File URL: https://repec.som.surrey.ac.uk/2017/DP08-17.pdf
    Download Restriction: no

    Citations

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


    Cited by:

    1. Beqiraj Elton & Di Bartolomeo Giovanni & Serpieri Carolina, 2017. "Bounded-rationality and heterogeneous agents: Long or short forecasters?," wp.comunite 00132, Department of Communication, University of Teramo.
    2. Beqiraj Elton & Di Bartolomeo Giovanni & Di Pietro Marco, 2017. "Beliefs formation and the puzzle of forward guidance power," wp.comunite 00131, Department of Communication, University of Teramo.
    3. Giovanni Di Bartolomeo & Carolina Serpieri, 2018. "Robust Optimal Policies in a Behavioural New Keynesian Model," JRC Working Papers JRC111603, Joint Research Centre (Seville site).

    More about this item

    JEL classification:

    • E03 - Macroeconomics and Monetary Economics - - General - - - Behavioral Macroeconomics
    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian
    • 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:sur:surrec:0817. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ioannis Lazopoulos). General contact details of provider: http://edirc.repec.org/data/desuruk.html .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.