Espinosa, Oscar
[Author];
Bejarano, Valeria
[Author];
Ramos, Jeferson
[Author];
Martínez, Boris
[Author]
Statistical actuarial estimation of the Capitation Payment Unit from copula functions and deep learning
: historical comparability analysis for the Colombian health system, 2015-2021
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Media type:
E-Article
Title:
Statistical actuarial estimation of the Capitation Payment Unit from copula functions and deep learning
:
historical comparability analysis for the Colombian health system, 2015-2021
Description:
The Capitation Payment Unit (CPU) fnancing mechanism constitutes more than 70% of health spending in Colombia, with a budget allocation of close to 60 trillion Colombian pesos for the year 2022 (approximately 15.7 billion US dollars). This article estimates actuarially, using modern techniques, the CPU for the contributory regime of the General System of Social Security in Health in Colombia, and compares it with what is estimated by the Ministry of Health and Social Protection. Using freely available information systems, by means of statistical copulas functions and artifcial neural networks, pure risk premiums are calculated between 2015 and 2021. The study concludes that the weights by risk category are systematically diferent, showing historical pure premiums surpluses in the group of 0-1 years and defcits (for the regions normal and cities) in the groups over 54 years of age.