IDEAS home Printed from https://ideas.repec.org/p/pad/wpaper/0202.html
   My bibliography  Save this paper

News on State-Dependent Fiscal Multipliers: The role of Confidence

Author

Listed:
  • Juan Manuel Figueres

    (University of Padova)

Abstract

This paper investigates the role of consumer confidence in determining the real effects that anticipated (news) government spending shocks have on output in recessions and in expansions as for the US economy. To account for fiscal foresight, I employ a measure of anticipated fiscal shocks defined as the sums of expectations’ revisions over future fiscal spending. This variable is shown to carry relevant information about movements on government spending. Results indicate that fiscal multipliers during recession are both statistically larger than in expansions and greater than one. Importantly, consumer confidence is shown to play a decisive role in determining the real effects of an anticipated spending shock within a non-linear framework. In particular, the response of confidence is key in explaining the statistically larger fiscal multipliers during recessions. Moreover, the role of confidence is found to be relevant for the transmission of anticipated shocks only. These results qualify confidence as a key ingredient for understanding the transmission of fiscal news shocks (as opposed to unanticipated fiscal shocks).

Suggested Citation

  • Juan Manuel Figueres, 2015. "News on State-Dependent Fiscal Multipliers: The role of Confidence," "Marco Fanno" Working Papers 0202, Dipartimento di Scienze Economiche "Marco Fanno".
  • Handle: RePEc:pad:wpaper:0202
    as

    Download full text from publisher

    File URL: https://economia.unipd.it/sites/economia.unipd.it/files/20150202_0.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Consumer Confidence; Fiscal forecast; Fiscal spending multiplier; Non-linear models; Smooth Transition Vector-AutoRegressions.;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E6 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook

    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:pad:wpaper:0202. 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: Raffaele Dei Campielisi (email available below). General contact details of provider: https://edirc.repec.org/data/dspadit.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.