The study investigated the effect of institutional mechanisms of micropension saving (MPS) schemes in extending coverage to informal economy workers. We used mixed methods as the research approach, and collected both quantitative and qualitative data for analysis. Using principal component analysis, multiple regression analysis and interpretative approaches that yielded themes, we concluded that more access provision, incentives and security result in increased informal economy workers’ participation in MPS. However, general form of financial information to informal economy workers was found to demotivate enrolment onto the scheme. Consequently, we recommended that corporate pension trustees should create institutional structures like pension education campaigns on national television and radio to promote the culture of pension saving.
Road traffic carnages are global concerns and seemingly on the rise in Ghana. Several risk factors have been studied as associated with road traffic fatalities. However, inadequate road traffic fatality (RTF) data and inconsistent probability outcomes for RTF remain major challenges. The objective of this study is to illustrate and estimate probability models that can predict road traffic fatalities. We relied on 66,159 recorded casualties who were involved in road traffic accidents in Ghana from 2015 to 2019. Three generalized linear models, namely logistic regression, probit regression and linear probability model were used for the analysis. We found that gender and age groups have significant effects in predicting the probability of road traffic fatality for all three models. Through a likelihood ratio test, however, it was determined that the logit regression model produced consistent probabilities of traffic fatalities which are very close to the actual probability values across the age groups and gender, compared to the other two models. Thus, we recommend intensified campaign for the use of seat belts in vehicles, targeted at the aged and male users of road transport to reduce the possibility of death in any RTA.
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