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Abstract
This paper investigates the application of the Autoregressive Integrated Moving Average (ARIMA) model to forecast five key economic time series impacting Brazil's healthcare sector (2000-2020): GDP, IPCA (inflation), unemployment rate, total health plan beneficiaries, and individual health plan beneficiaries. The study demonstrates the ARIMA model's effectiveness in accurately predicting these variables, achieving over 95% accuracy. These findings offer valuable insights for healthcare managers and policymakers in strategic planning and resource allocation.
Publisher
Humanities and Social Sciences Communications
Published On
Aug 22, 2024
Authors
Claudimar Pereira da Veiga, Cássia Rita Pereira da Veiga, Felipe Mendes Girotto, Diego Antonio Bittencourt Marconatto, Zhaohui Su
Tags
ARIMA
healthcare sector
economic time series
GDP
inflation
unemployment rate
health plan beneficiaries

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