IDEAS home Printed from https://ideas.repec.org/p/pre/wpaper/201516.html
   My bibliography  Save this paper

The Macroeconomic Effects of Uncertainty Shocks in India

Author

Listed:
  • Lumengo Bonga-Bonga

    (Faculty of Economic and Financial Sciences, University of Johannesburg)

  • Rangan Gupta

    (Department of Economics, University of Pretoria)

  • Charl Jooste

    (Department of Economics, University of Pretoria)

Abstract

The macroeconomic response to uncertainty for India is studied in a structural model that decomposes uncertainty into negative and positive contributions. The results show that uncertainty shocks reduce industrial production, lead to an exchange rate depreciation, lowers prices and increases interest rates. Conversely, a reduction in uncertainty (or an increase in negative uncertainty) increases industrial production, reduces prices, leads to an exchange rate appreciation and slightly increases interest rates. The results, however, reveal that the response to uncertainty is insignificant - this implies that the short run duration and sign could be different.

Suggested Citation

  • Lumengo Bonga-Bonga & Rangan Gupta & Charl Jooste, 2015. "The Macroeconomic Effects of Uncertainty Shocks in India," Working Papers 201516, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201516
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    Uncertainty; Macroeconomic Variables; SVECM; India;
    All these keywords.

    JEL classification:

    • E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General
    • 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

    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:pre:wpaper:201516. 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: Rangan Gupta (email available below). General contact details of provider: https://edirc.repec.org/data/decupza.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.