Abstract

This article reviews the literature that has used Granger causality tests in health economics. The purpose of this article is to evaluate the policy of hospital bed reduction in the Brazilian Unified Health System (SUS), by applying Granger causality tests with data of beds per capita and hospitalization rate from 2005 to 2017. We carried out the analysis using the Toda-Yamamoto causality test, based on augmented VAR models. Additionally, we adopted the conventional Granger causality approach, which uses VECM models. Our results evidenced unidirectional Granger causality in the direction of the indicator of beds to that of hospitalizations. This suggests that the pressures for reducing the number of hospital beds originated, firstly, from the supply controlled by the government, rather than from a lower demand of the population for health services.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.