IDEAS home Printed from https://ideas.repec.org/a/eme/ajemsp/ajems-07-2018-0217.html

Endogenous monetary approach to optimal inflation–growth nexus in Swaziland

Author

Listed:
  • Andrew Phiri

Abstract

Purpose - The purpose of our study is to examine the inflation–growth nexus relationship for Swaziland between 1975 and 2016 with the intention of estimating an optimal level of inflation, which maxims economic growth or minimizes growth losses. Design/methodology/approach - We estimate on an endogenous monetary model of economic growth augmented with a credit technology using a smooth transition regression (STR) model, which allows us to estimate an optimal inflation rate characterized by smooth transition between different inflation regimes. Findings - Our empirical results point to an inflation threshold estimate of 7.64 per cent at which economic growth gains are maximized or similarly growth losses are minimized. In particular, we find that above this threshold economic agents may be able to protect themselves from inflation through credit technology and a more urbanized population and yet such high inflation adversely affects the influence of exports on economic growth. This noteworthy since a majority of government revenues is from trade activity via the country's affiliation with the Southern African Customs Union (SACU). Originality/value - The major contribution of this paper is that it becomes the first to draw directly from endogenous growth theory to estimate the inflation threshold for any African country, which will hopefully pave a way for similar studies on other African countries.

Suggested Citation

  • Andrew Phiri, 2020. "Endogenous monetary approach to optimal inflation–growth nexus in Swaziland," African Journal of Economic and Management Studies, Emerald Group Publishing Limited, vol. 11(4), pages 559-571, March.
  • Handle: RePEc:eme:ajemsp:ajems-07-2018-0217
    DOI: 10.1108/AJEMS-07-2018-0217
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/AJEMS-07-2018-0217/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/AJEMS-07-2018-0217/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/AJEMS-07-2018-0217?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 look for a different version below or

    for a different version of it.

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • 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
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    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:ajemsp:ajems-07-2018-0217. 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.