Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

Modelos de sostenibilidad de los fondos del Instituto Ecuatoriano de seguridad social

Por Franco H. Salcedo López & Galo E. Salcedo López

Los sistemas de pensiones en todo el mundo han evolucionado dinámicamente, es necesario alcanzar la sostenibilidad del sistema para proporcionar a susaportantes y pensionistas confianza en el modelo. Para el sistema de pensiones del IESS, es importante obtener predicciones para prevenir a los interesados lo que podría suceder si no se toman las medidas correctivas. Las predicciones de sostenibilidad de pensiones del IESS se obtuvieron con el método de las Cadenas de Markov Monte Carlo (CMMC) y el de los Mínimos Cuadrados, utilizando datos desde el 1 de enero del 2012 hasta el 30 de junio de 2022 y su procesamiento con el Software GNU Octave. Los resultados de los modelos revelan que el sistema de pensiones sería sostenible hasta diciembre de 2023; por lo que las autoridades deberían aplicar las estrategias adecuadas para sostener el sistema.

Fuente @KAIROS