Forecasting medical inflation in the European Union using the ARIMA model
DOI:
https://doi.org/10.3326/pse.48.1.2Keywords:
medical inflation, HICP, ARIMA model, time series forecastingAbstract
As healthcare costs continue to pose significant challenges for governments and policymakers, accurate forecasting of medical inflation has become crucial in the European Union. This study aims to provide insights into the trajectory of medical inflation within the EU using the Autoregressive Integrated Moving Average (ARIMA) model and to check whether this model is an effective tool for predictions of medical inflation. The findings of the study have significant implications across various sectors. With accurate forecasts of medical inflation, policymakers can proactively address challenges, insurers can determine appropriate premiums and develop innovative models, and healthcare entities can allocate resources strategically to ensure financial stability and quality care.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Enja Erker
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright Notice
Public Sector Economics (PSE) is a an Open Access Journal licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits use and redistribution (commercial and non-commercial), as long as the licensed work is passed along unchanged and in whole, with credit to PSE as original publisher.
Authors retain the copyright on the papers published in PSE but grant the right of first publication to the journal.
Papers published in PSE can be re-published only exceptionally and in unaltered form, e.g., as a chapter in a volume of an author’s collected papers, or as an unabridged translation for educational purposes. The author(s) must obtain written permission of the publisher and clearly indicate in a first page footnote the reference to the original publication in PSE.
Individual users may access, download, copy and display the papers published in PSE, provided that the authors’ intellectual and moral rights, reputation and integrity are not compromised. It is the obligation of the user to ensure that any reuse complies with the copyright policies of the owners.
If the content of papers published in the PSE is copied, downloaded or otherwise reused for non-commercial research and educational purposes, a link to the appropriate bibliographic citation (authors, title of the paper, PSE volume, year and page numbers) should be provided. Copyright notices and disclaimers must not be deleted.