Objective: The article aims to analyze the pension system in Colombia through Monte Carlo simulation, seeking to understand the behavior of pensioners and evaluate the probabilities associated with the system. Methods and Materials: Monte Carlo simulation was applied to analyze the pension system in...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Online Access: |
https://revistas.sena.edu.co/index.php/rediis/article/view/6029 |
| Summary: | Objective: The article aims to analyze the pension system in Colombia through Monte Carlo simulation, seeking to understand the behavior of pensioners and evaluate the probabilities associated with the system. Methods and Materials: Monte Carlo simulation was applied to analyze the pension system in Colombia. Using relevant data on pension distribution, focus on old-age pensions and the participation of different entities, random scenarios were generated and repeated calculations were performed to estimate statistical results. Results and Discussion: In 2020, a considerable number of people over 60 years of age in Colombia lacked access to old-age pensions, with Colpensiones being the preferred entity. The simulationrevealed that the majority of pensioners obtain their pension due to old age, and the probability that entities other than Colpensiones have a high number of pensioners is low. This preference generated increases in state costs, financed mainly with taxes, highlighting financial challenges associated with the Colombian pension system. Conclusions: The Monte Carlo simulation provided a detailed view, highlighting the prevalence of old-age pensions and the financial challenges arisingfrom pensioners’ preferences. These findings underscore the importance of strategically addressing pension distribution and associated costs to strengthen the pension system in Colombia. |
|---|
