Modelling the Growth of Pension Funds Companies in Zimbabwe Using a Generalized Linear Model (Poisson Regression)
- Author
- Makosi, Yato. R
- Title
- Modelling the Growth of Pension Funds Companies in Zimbabwe Using a Generalized Linear Model (Poisson Regression)
- Abstract
-
This research compares and contrasts various Zimbabwean pension plans, with a focus on the private
pension plan and the increase of the pension funds over time. The current private sector workforce and
anticipated future growth are both examined in this research study using generalized linear models.
The researcher undertook this research to determine if the resources required to address the demands
of the elderly population can be generated by pension funds at the current level of market dispersion
and determine whether the current non-required contribution system for growing pension funds needs
to be replaced with a system of mandatory contributions for all employed workers. The researcher uses
various data for analysis, with the major sources being the Zimbabwe National Statistics Agency
(ZIMSTAT), Insurance and Pensions Commission (IPEC) and World Bank. Data collected was
analyzed using R-Software, E Views and Excel for descriptive statistics. The study found that
population, inflation and GDP_usd were positively correlated to contribution and interest rate have
negatively correlated to contribution. The study concluded that, of the four variables, inflation,
population and GDP_usd have positive effects to the growth of pension and also interest rate have
negative effects to the growth of defined pension schemes in Zimbabwe. The researcher made the
following recommendations; a pension fund's growth should be protected from economic variables by
policy makers to safeguard both pensioners and the pension fund through paying close attention to
GDP_usd, population, interest rates, and inflation because these economic variables have a big
impact on how well pension plans work and affects the growth of defined benefit schemes - Date
- 2023
- Publisher
- BUSE
- Keywords
- Pension Funds Companies
- Modelling
- Supervisor
- Miss Hlupo
- Item sets
- Department of Statistics and Mathematics
