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dc.contributor.authorNakirya, Noet
dc.date.accessioned2024-01-24T12:58:31Z
dc.date.available2024-01-24T12:58:31Z
dc.date.issued2023-08
dc.identifier.citationNakirya, N. (2023). Factors affecting pensioner’s accessibility to their benefits in Pallisa District. Unpublished undergraduate dissertation, Makerere University, Kampala, Ugandaen_US
dc.identifier.urihttp://hdl.handle.net/20.500.12281/18400
dc.descriptionA dissertation submitted to School of Statistics and Planning in partial fulfillment of the requirements for the award of the degree of Bachelor of Science in Actuarial Science of Makerere Universityen_US
dc.description.abstractThe objective of the study was to establish the key factors affecting pensioner’s accessibility to their benefits in Pallisa District. The factors used in this study were Age, Gender, Occupation Disability, Level of Education, Contribution to any pension scheme, Type of Benefit preferred, Years in service(tenure). The analysis was carried out with aid of frequency distribution, chi square tests and logistic regression. More than half of the respondents were females as 57 of the 109 taking on a percentage of 53.27%. Fairly proportioned in terms of exceeding and not exceeding the pension age (49.53% and 50.47% respectively). Most of the respondents were employed (38.32%) followed by self employment (31.78%), Other occupations (17.76%), the unemployed (11.21%) while one individual had retired (0.93%). Majority of the respondents were not disabled (71.03%). Majority of the respondents went to institutions (41.12%) and contributions to at least a pension scheme were made by (68.22%) of the respondents. Most of the participants preferred lump sum to annuities and 78.5% of the respondents had been in service for 5 and above years. Both the Bivariate and the Binary Logistic Regression proved that accessibility to pension benefits in Pallisa district of Uganda depends on Age, Disability, Contributions made to any pension scheme, and the Years in service of an individual. Data analysis was performed using the Statistical Package of STATA 16 software package. Furthermore, conclusions about the study were drawn and for increased accessibility to Pension benefits in Pallisa District recommendations were made.en_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectPallisa Districten_US
dc.subjectPensioner benefits accessibilityen_US
dc.subjectPensionersen_US
dc.titleFactors affecting pensioner’s accessibility to their benefits in Pallisa Districten_US
dc.typeThesisen_US


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