Jakperik Dioggban
Biographic Data
| ID | 6891614 |
|---|---|
| NAME | Jakperik Dioggban |
| GIVEN NAMES | Jakperik |
| FAMILY NAME | Dioggban |
| SIGNATURE | DIOGGBAN J |
| AFFILIATIONS | C.K. Tedam University of Technology and Applied Sciences |
| ORCID | 0000-0003-3369-6123 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Hierarchical Bayesian Modelling of Macroeconomic Variables in Ghana
This study analyzed the impact of macroeconomic variables (manufacturing, real exchange rate, government expenditure, and gross fixed capital formation) on GDP growth in Ghana. Utilizing secondary data from the World Development Indicators of the World Bank (1991–2021), we employed a hierarchical Bayesian linear model with interaction effects to assess these relationships. The results indicate that the real exchange rate, manufacturing, and gover…
Model-Based Small Area Estimation of Regional-Level Maternal Mortality Prevalence in Ghana
The study involved 1240 women covering the ten administrative regions of Ghana. The aim was to study the prevalence of maternal mortality and its distribution across the ten regions based on given demographic factors. Three main analytical methods were used: Direct estimation method, Fay-Herriot method and Binary Logistic regression. The study revealed that prevalence of maternal mortality in Ghana was high among women engaged in manual works, ru…
No prominent works on this page.
Model-Based Small Area Estimation of Regional-Level Maternal Mortality Prevalence in Ghana
The study involved 1240 women covering the ten administrative regions of Ghana. The aim was to study the prevalence of maternal mortality and its distribution across the ten regions based on given demographic factors. Three main analytical methods were used: Direct estimation method, Fay-Herriot method and Binary Logistic regression. The study revealed that prevalence of maternal mortality in Ghana was high among women engaged in manual works, ru…
Hierarchical Bayesian Modelling of Macroeconomic Variables in Ghana
This study analyzed the impact of macroeconomic variables (manufacturing, real exchange rate, government expenditure, and gross fixed capital formation) on GDP growth in Ghana. Utilizing secondary data from the World Development Indicators of the World Bank (1991–2021), we employed a hierarchical Bayesian linear model with interaction effects to assess these relationships. The results indicate that the real exchange rate, manufacturing, and gover…
Bayesian probability (1 work) · Demography (1 work) · Demography (1 work) · Developing country (1 work) · Distribution (mathematics (1 work) · Econometrics (1 work) · Economic growth (1 work) · Economics (1 work) · Economics of Agriculture and Food Markets (1 work) · Efficiency Analysis Using DEA (1 work)