Gideon Mensah Engmann
Biographic Data
| ID | 6891633 |
|---|---|
| NAME | Gideon Mensah Engmann |
| GIVEN NAMES | Gideon Mensah |
| FAMILY NAME | Engmann |
| SIGNATURE | ENGMANN G M |
| AFFILIATIONS | C.K. Tedam University of Technology and Applied Sciences |
| ORCID | 0000-0001-8381-3477 |
| 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…
Modelling Factors Affecting Internally Generated Funds of the Tamale Metropolitan Assembly of Ghana Using Multivariate Analysis Techniques
The study was carried out to model factors that affect the Internally Generated Funds of the Tamale Metropolitan Assembly using Factor and Confirmatory Factor analysis. The study involved 403 categories of respondents using probability and non-probability sampling techniques. The results from the Factor analysis confirmed a four-factor structure model to accurately represent the observed data without substantial loss of information. The Factor an…
No prominent works on this page.
Modelling Factors Affecting Internally Generated Funds of the Tamale Metropolitan Assembly of Ghana Using Multivariate Analysis Techniques
The study was carried out to model factors that affect the Internally Generated Funds of the Tamale Metropolitan Assembly using Factor and Confirmatory Factor analysis. The study involved 403 categories of respondents using probability and non-probability sampling techniques. The results from the Factor analysis confirmed a four-factor structure model to accurately represent the observed data without substantial loss of information. The Factor an…
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…
Econometrics (2 works) · Economics (2 works) · Mathematics (2 works) · Statistics (2 works) · Advanced Statistical Methods and Models (1 work) · Bayesian probability (1 work) · Computer Science (1 work) · Confirmatory factor analysis (1 work) · Economics of Agriculture and Food Markets (1 work) · Efficiency Analysis Using DEA (1 work)