Socioeconomic benefits of the Brazilian INSS AtestMed programme - presented by Prof. Dr. Renata Gomes Alcoforado

Socioeconomic benefits of the Brazilian INSS AtestMed programme

Prof. Dr. Renata Gomes Alcoforado

Prof. Dr. Renata Gomes Alcoforado
Risk Sciences Seminar Series
Host
Risk Sciences
DateFriday, March 14, 2025 11:00 AM (UTC)
Live eventThe live event will be accessible via this page.
Risk Sciences
Socioeconomic benefits of the Brazilian INSS AtestMed programme
Prof. Dr. Renata Gomes Alcoforado
Renata Gomes Alcoforado
Aix-Marseille University, University of Lisbon and Universidade Federal de Pernambuco

Practice Insights: Renata Gomes Alcoforado

Risk Sciences aims to foster diverse, multidisciplinary insights in risk sciences, bridging theory and practice through a series of academic activities. This talk is part of the "Practice Insights" track of this series, highlights key lessons from real-world experiences, offering valuable perspectives to researchers and practitioners alike.

This study analyses forecast modelling with time series for INSS expenses related to the AtestMed programme within the Brazilian Welfare and Pension System. The AtestMed programme, a recent socioeconomic initiative by the Brazilian government, aims to manage benefit compensations due to temporary disability more efficiently. It is designed to improve and shorten delays in the processing and payment of compensations, leading to significant savings by reducing disability periods. The dataset used includes monthly monetary data from January 2021 to September 2024, adjusted for inflation according to the National Consumer Price Index (INPC). We examine the behaviour of INSS costs with and without the AtestMed programme, noting that it was implemented in July 2023. The methodology employs six different time series models (Simple, Holt and Holt-Winters Exponential Smoothing, ARMA, ARIMA and SARIMA) for analysing cost trends. By comparing the outcomes for total costs with and without AtestMed, this approach provides a deeper understanding of chronological as well as seasonal trends in INSS spending, anticipates variations, and optimises socioeconomic management. The forecasts generated from this study aim to enhance strategic decision-making within the scope of social security.

Date & time
Mar
14
2025
Friday, March 14, 2025 11:00 AM to 12:00 PM (UTC)
Details
Listed seminar This seminar is open to all
Recorded Available to all
Q&A Open on this page for 1 day after the seminar
Disclaimer The views expressed in this seminar are those of the speaker and not necessarily those of the journal