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dc.contributor.authorAturinzire, Ham
dc.date.accessioned2022-04-12T05:48:21Z
dc.date.available2022-04-12T05:48:21Z
dc.date.issued2022-03
dc.identifier.citationAturinzire, H.(2022). Asymmetric analysis of youths not in employment, education, or training (NEET) in Uganda. (Unpublished undergraduate dissertation). Makerere University, Kampala, Ugandaen_US
dc.identifier.urihttp://hdl.handle.net/20.500.12281/11626
dc.description.abstractThe study sought to conduct an asymmetric analysis of youth not in education, employment, or training with the objectives 1) To identify the key economic determinants of NEET in Uganda by a sequence of observations, 2) To detect the asymmetric effects of the key economic variables on NEET in the long and the short term and 3) To describe the time trends in Youth Not in Education, Employment or Training in Uganda. Secondary data obtained from UBOS, NATIONAL LABOUR FORCE SURVEY 2016/17, World Bank Data, 2021 (Development indicators) was. The key economic variables that influence NEET were the rate of job creation, foreign direct investment, gross domestic product, and population in the country. The study analyzed the asymmetric association existing between the economic variables and NEET by collecting time-series data of Uganda from 1980 to 2020. The asymmetric associations were checked by applying non-linear ARDL modelling on the collected data because the positive and negative variations in the economic variables that influence unemployment do not cause the NEET to vary in a systematic pattern. Therefore, the study used NARDL. The results revealed that the adjusted R-square for this NARDL model was 0.663, which showed that the NARDL model was a good fit because 66.3% variation in NEET was explained by other variables of this model. All values fell within the critical frontiers at a 5% level of significance. This reflected the stability of long-term as well as short-term parameters during the period of 1980-2020. Results of NARDL estimation show the presence of asymmetric effects of RJC, P, GDP, and FDI, NEET (unemployment). Results reveal that the increase in RJC (RJC_POS) has a positive effect on NEET (unemployment) (p-value < 0.05). It means that an increase in RJC is followed by a positive change in unemployment. However, the decrease in RJC (RJC_NEG) causes the inverse effect on unemployment as the decrease in RJC (i.e. negative change in RJC) is likely to cause the negative effect of 35.6% on NEET (unemployment). These results show that unemployment in Uganda is most likely to be determined by the increase or decrease in its RJC. Results also indicate that the increase in P (P_POS) causes a significant negative effect on unemployment (p-value <0.05). This means that the increase in P (population of the youth) causes employment to decrease by 66.4% in long run. The effects of increase or decrease in FDI (i.e. FDI_POS and FDI_NEG) on unemployment are also insignificant because the p-value against both these effects is >0.05. The study concluded that there is a presence of significant asymmetric associations between the economic variables of the rate of job creation and NEET and Population and NEET as well as Gross domestic product and NEET. This is because the result revealed the increase and decrease in the gross domestic product caused the NEET of Uganda to increase. Results further indicated that the increase in the rate of job creation, foreign direct investment, and gross domestic product in Uganda causes its NEET to reduce and based on the findings of the study recommendations were made as follows; policymakers in Uganda should recognize the influence of economic variables such as rate of job creation, gross domestic products, population, and foreign direct investment and improve on those areas to help reduce the status of need in Uganda. This will help the country realize the role of gross domestic product, population growth, rate of job creation in contributing to NEET, therefore helping them develop and implement better policies to create employment for the youth.en_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectYouthen_US
dc.subjectEmploymenten_US
dc.subjectYouth trainingen_US
dc.titleAsymmetric analysis of youths not in employment, education, or training (NEET) in Ugandaen_US
dc.typeThesisen_US


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