Forecasting medical inflation in the European Union using the ARIMA model

Q3 Economics, Econometrics and Finance
Enja Erker
{"title":"Forecasting medical inflation in the European Union using the ARIMA model","authors":"Enja Erker","doi":"10.3326/pse.48.1.2","DOIUrl":null,"url":null,"abstract":"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 predic - tions 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.","PeriodicalId":37447,"journal":{"name":"Public Sector Economics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Sector Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3326/pse.48.1.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 0

Abstract

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 predic - tions 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.
利用 ARIMA 模型预测欧盟的医疗通胀率
由于医疗成本不断给政府和政策制定者带来重大挑战,准确预测医疗通胀在欧盟变得至关重要。本研究旨在利用自回归综合移动平均(ARIMA)模型深入分析欧盟医疗通胀的轨迹,并检验该模型是否是预测医疗通胀的有效工具。研究结果对各个领域都有重要影响。有了对医疗通胀的准确预测,政策制定者可以积极应对挑战,保险公司可以确定适当的保费并开发创新模式,医疗保健实体可以战略性地分配资源,以确保财务稳定和医疗质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Public Sector Economics
Public Sector Economics Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
1.10
自引率
0.00%
发文量
21
审稿时长
15 weeks
期刊介绍: Public Sector Economics is double blind peer-reviewed scientific journal published by the Institute of Public Finance, which seeks theoretical, empirical and policy-oriented contributions analysing the role and functioning of the public sector at macroeconomic, sectoral and microeconomic levels, in both advanced and emerging market economies. We also aim to provide a professional forum for the discussion of contemporary public policy issues and actively seek survey articles, appraisals of current policy debates, shorter notes and book reviews.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信