IDEAS home Printed from https://ideas.repec.org/p/ris/kiepwp/2016_010.html
   My bibliography  Save this paper

Government Spending Policy Uncertainty and Economic Activity: U.S. Time Series Evidence

Author

Listed:
  • Kim, Wongi

    (Korea Institute for International Economic Policy)

Abstract

In this paper, I empirically examine the effects of uncertainty about government spending policy on economic activity using U.S. time series data. To this end, I constructed government spending policy uncertainty indexes and estimate proxy SVAR model. Proxy SVAR model with constructed indexes shows that an increase in government spending policy uncertainty has negative, sizable, and prolonged effects on economic activity. Moreover, the results imply that the commonly adopted recursive SVAR model in literature on policy uncertainty systematically underestimates the adverse effect of government spending policy uncertainty because of the endogeneity issue. One policy suggestion based on the empirical finding is clear announcement of future government spending path.

Suggested Citation

  • Kim, Wongi, 2016. "Government Spending Policy Uncertainty and Economic Activity: U.S. Time Series Evidence," Working Papers 16-10, Korea Institute for International Economic Policy.
  • Handle: RePEc:ris:kiepwp:2016_010
    DOI: 10.2139/ssrn.2901382
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.2139/ssrn.2901382
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.2139/ssrn.2901382?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Policy Uncertainty; Government Spending Policy Uncertainty Index; Government Spending Policy Uncertainty Shock; Proxy SVAR;
    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
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory

    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:ris:kiepwp:2016_010. 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: Juwon Seo (email available below). General contact details of provider: https://edirc.repec.org/data/kieppkr.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.