Gideon Mensah Engmann’s scientific contributions

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Publications (3)


Figure 1. Partial Correlation Network of Major Macroeconomic Variables of Ghana.
Partial Correlation Matrix of Ghana's Major Macroeconomic Variables.
Fisher's z-Transformation Values.
P-values of the Multiple Testing.
Centrality Scores.

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Statistical Network Analysis of Macroeconomic Variables in Ghana
  • Article
  • Full-text available

December 2024

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12 Reads

American Journal of Theoretical and Applied Statistics

Elijah Atindana

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Gideon Mensah Engmann

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In the rapidly evolving economic landscape of Ghana, understanding the intricate interdependencies between macroeconomic variables is pivotal for informed policymaking and strategic economic planning. The study employed network analysis to enhance our comprehension of Ghana's macroeconomic dynamics. Data was sourced from the world development indicators. Initially, a statistical network was constructed to represent the interconnections between Ghana's principal macroeconomic variables using partial correlation matrix, offering a visual and analytical perspective of their relationships. Subsequently, centrality measures and other network analysis tools were utilized to identify and quantify the influence of key economic indicators within this network. Results showed that Exports, Inflation, Exchange rate, Gross Domestic Saving, Manufacturing and Gross National Expenditure played a significant role in the network. However, Agriculture and Imports were identified as most influential variables with high centrality scores across all centrality measures. Finally, Exponential Random Graph Model was employed to provide a comparative baseline, shedding light on the uniqueness or randomness of the observed interrelationships. The significant parameters in the model include the presence of edges between nodes and the presence of generalized geodesic triads (gwesp), which capture the tendency for nodes to form connections based on common neighbors. The findings also revealed that there is a probability of 16.19% for a relationship to exist between two macroeconomic variables if they are both connected to the same third variable.

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Enhancing Service Delivery through an Online Complaints System for Northern Ghana's Tertiary Institutions

December 2024

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15 Reads

This study investigated the factors hindering the successful implementation of online complaints system in tertiary institutions in Northern Ghana and developed an effective complaint system to enhance service delivery, using iterative waterfall models with CSS, MYSQL, JavaScript, HTML, and visual studio codes. To identify the factors hindering the successful implementation of online complaints system, a structured questionnaire was administered to a sample of 308 participants to ascertain the factors that influence the implementation of online complaints system. The findings revealed that lack of education and training, and inadequate resources are the key factors hindering the implementation of online complaint system. Consequently, a new complaint system was developed from this study which incorporated speech-to-text, and text-to-speech features to cater for the needs of diverse users, unlike the previous ones. This new complaint system was found to be cost effective since students only need access to internet connectivity to lodge complaints, unlike previous ones where students have to travel to school before lodging complaint. Finally, the new complaint system equally efficiently handles students' complaints by keeping a record of all previously lodged complaints of the user, this particular feature provides educational institutions with insights on the frequency of complaints lodged by users. Based on the results, it is evident that tertiary institutions which are looking forward to adopting and implementing students' complaints system, should consider educating and training for both staff and students on its usefulness. Also, tertiary institutions are encouraged to adopt and implement this system since it is less frustrating and cost effective.


Figure 6. A plot of empirical and theoretical cumulative distributions for policyholders claims.
Figure 7. Plot of the original data of policyholders' claims.
Figure 8. Plot of the simulated data of policyholders' claims.
Measuring the Adequacy of Loss Distribution for the Ghanaian Auto Insurance Risk Exposure through Maximum Likelihood Estimation

March 2022

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160 Reads

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3 Citations

Open Journal of Business and Management

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Zhao Wu

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Yingying Zhu

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[...]

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Loss distribution plays an influential role in evaluating risks from policyhold-ers' claims. Nevertheless, the auto insurance market in Ghana pays little attention to policyholders' claims distribution, resulting in the market's inefficiency. This study investigates the type of loss distribution function that best approximates policyholders' claims in Ghana. We applied the Kullback-Leibler divergence, Kolmogorov Smirnov, Anderson-Darling statistical tests and maximum likelihood estimation (MLE) to estimate policyholders' claims. The results suggest that Ghana's auto policyholder's claims are better approximated using the lognormal probability distribution. Through the lognormal distribution , the industry can adequately evaluate policyholders' claims to minimize potential loss. Additionally, this distribution could enable the market reach decisions on premiums and expected profits theoretically.

Citations (1)


... However, most existing studies rely on traditional linear regression and time-series models that may fail to capture the full complexity of the economic system [6,30,31]. This creates a research gap in understanding the non-obvious, nonlinear interdependencies among macroeconomic variables. ...

Reference:

Statistical Network Analysis of Macroeconomic Variables in Ghana
Measuring the Adequacy of Loss Distribution for the Ghanaian Auto Insurance Risk Exposure through Maximum Likelihood Estimation

Open Journal of Business and Management