IDEAS home Printed from https://ideas.repec.org/a/eme/ijoemp/ijoem-09-2021-1360.html
   My bibliography  Save this article

On the dynamics of expectations, uncertainty and economic growth: an empirical analysis for the case of Uruguay

Author

Listed:
  • Juan Gabriel Brida
  • Bibiana Lanzilotta
  • Lucia Rosich

Abstract

Purpose - From these data, the authors construct an uncertainty index through the use of a vector autoregressive (VAR) model to measure the impact of uncertainty on GDP, controlling for inflation, which may affect macroeconomic performance. Results indicate that uncertainty is negatively correlated with the economic cycle and the inter-annual variation of the biannual average product. Design/methodology/approach - This study empirically explores the dynamics of expectations of the Uruguayan manufacturing firms about industrial economic growth. This study explores the dynamics of the industrial economic growth expectations of Uruguayan manufacturing firms. The empirical research is based on firms' expectations data collected through a monthly survey carried out by the Chamber of Industries of Uruguay (CIU) in 2003–2018. Findings - Granger causality tests show that uncertainty Granger-causes industrial production growth and a one standard deviation shock on uncertainty generates a contraction in the industrial production growth rate. Finally, the authors use statistical and network tools to identify groups of firms with similar performance on expectations. Results show that higher uncertainty is associated with smaller, more interconnected groups of firms, and that the number of homogeneous groups and the distance between groups increases with uncertainty. These findings suggest that policies focused on the coordination of expectations can lead to the development of stable opinion groups. Originality/value - The paper introduces new data and new methodologies to analyze the dynamics of expectations of manufacturing firms about industrial economic growth. Highlights - An empirical approach to compare expectations of firms is introduced.The occurrence of groups of opinion is tested.Central companies in the network of expectations are detected.More uncertainty implies a higher degree of discrepancy between the overall firm’s opinions and more compact opinion groups.

Suggested Citation

  • Juan Gabriel Brida & Bibiana Lanzilotta & Lucia Rosich, 2022. "On the dynamics of expectations, uncertainty and economic growth: an empirical analysis for the case of Uruguay," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 19(9), pages 2385-2404, November.
  • Handle: RePEc:eme:ijoemp:ijoem-09-2021-1360
    DOI: 10.1108/IJOEM-09-2021-1360
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/IJOEM-09-2021-1360/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/IJOEM-09-2021-1360/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/IJOEM-09-2021-1360?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Manufacturing industries; Uruguay; Networks; Minimal spanning trees; Hierarchical trees; Uncertainty measure; Expectations; C14; C15; D21; D84; D85;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

    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:eme:ijoemp:ijoem-09-2021-1360. 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: Emerald Support (email available below). General contact details of provider: .

    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.