IDEAS home Printed from https://ideas.repec.org/a/sae/emeeco/v16y2024i2p231-247.html
   My bibliography  Save this article

Inflation and Its Uncertainty: Evidence from Indonesia and the Philippines

Author

Listed:
  • Haryo Kuncoro

Abstract

This article investigates the relationship between inflation and its uncertainty under the inflation-targeting regime in Indonesia and the Philippines over 2005(7)–2021(12). The Kernel density function and entropy index applications reveal that the price level in both countries is heterogeneous. The non-linear quantile regression estimation shows that inflation affects inflation uncertainty positively. Inflation more likely induces its uncertainty in higher quantiles. The effect exhibits an inconsistent linearity property. While the symmetric behavior holds in the Philippines, inflation in the case of Indonesia affects the inflation uncertainty differently, not only inter-quantiles but also intra-quantiles. Given that Indonesia and the Philippines have low inflation rates relative to other emerging markets, our findings suggest that announcing higher inflation targets may be costly to provoke higher inflation uncertainty. Accordingly, controlling inflation uncertainty in the inflation-targeting regime can be achieved if monetary policy is credible and independent. JEL Classification C14, C21, D08, E31, O23

Suggested Citation

  • Haryo Kuncoro, 2024. "Inflation and Its Uncertainty: Evidence from Indonesia and the Philippines," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 16(2), pages 231-247, May.
  • Handle: RePEc:sae:emeeco:v:16:y:2024:i:2:p:231-247
    DOI: 10.1177/09749101221149873
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/09749101221149873
    Download Restriction: no

    File URL: https://libkey.io/10.1177/09749101221149873?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

    Inflation; inflation uncertainty; Kernel distribution; entropy index; quantile regression;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • O23 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Fiscal and Monetary Policy in Development

    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:sae:emeeco:v:16:y:2024:i:2:p:231-247. 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: SAGE Publications (email available below). General contact details of provider: http://www.emergingmarketsforum.org/ .

    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.