IDEAS home Printed from https://ideas.repec.org/p/chu/wpaper/20-02.html

Rationally Inattentive savers and Monetary Policy Changes: A Laboratory Experiment

Author

Listed:
  • Andrea Civelli

    (University of Arkansas, Walton College of Business, Department of Economics)

  • Cary Deck

    (University of Alabama
    Economic Science Institute, Chapman University)

  • Antonella Tutino

    (Federal Reserve Bank of Dallas)

Abstract

We study the response of consumption and saving decisions of rationally inattentive individuals to changes in monetary policy in the laboratory. First, we theoretically characterize the choices of a rationally inattentive agent processing information about the interest rate. Then, we design an experiment with induced inattention to test for the predictions of the model, contrasting them to the full information case. Consistent with the predictions, experimental subjects (a) increase attention when utility gains exceed cognitive costs of tracking the policy rate and decrease savings when their perceived economic outlook deteriorates; (b) respond to Delphic, but not Odyssean, forms of forward guidance. These ?ndings agree with recent empirical evidence on monetary policy e?ects on consumption behavior in U.S. and internationally.

Suggested Citation

  • Andrea Civelli & Cary Deck & Antonella Tutino, 2020. "Rationally Inattentive savers and Monetary Policy Changes: A Laboratory Experiment," Working Papers 20-02, Chapman University, Economic Science Institute.
  • Handle: RePEc:chu:wpaper:20-02
    as

    Download full text from publisher

    File URL: https://digitalcommons.chapman.edu/esi_working_papers/295/
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. is not listed on IDEAS
    2. Timmons, Shane & Robertson, Deirdre & Lunn, Pete, 2022. "Combining nudges and boosts to increase precautionary saving: A large-scale field experiment," Papers WP722, Economic and Social Research Institute (ESRI).

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)

    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:chu:wpaper:20-02. 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.

    We have no bibliographic 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.

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