IJBTT

Comparative Analysis of Panel Data Regression Models on Nigeria Money Deposit Bank Dataset
	© 2024 by IJCTT Journal
	Volume-72 Issue-6
	Year of Publication : 2024
	Authors : Oludele Awodele, Afolashade Ayankoya, Emmanuel Ogu, Rotimi Olugbohungbe
	DOI :  10.14445/22312803/IJCTT-V72I6P107

How to Cite?

Oludele Awodele, Afolashade Ayankoya, Emmanuel Ogu, Rotimi Olugbohungbe, "Comparative Analysis of Panel Data Regression Models on Nigeria Money Deposit Bank Dataset," International Journal of Computer Trends and Technology, vol. 72, no. 6, pp. 50-58, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I6P107

Abstract
Panel data regression models have gained significant attention in empirical research due to their ability to capture both cross-sectional and time-series variations. This study conducts a comparative analysis of panel data regression models using a dataset from Nigeria’s Money Deposit Banks. The research focuses on examining the performance of these models in estimating the relationship between key financial indicators and bank profitability. The dataset spans from 2001 to 2020, providing a comprehensive view of the banks’ financial status using the Return on Asset (RoA). The study employs two-panel data regression models: Fixed Effects and Random Effects models. The models are compared based on their goodness-of-fit metrics’ values, as measured by the Adjusted R-squared, F-statistic, Log-likelihood and AIC. The study also considers the significance and direction of the coefficients of the independent variables. Preliminary results suggest that the Fixed Effects model outperforms the Random effects model with 0.71, 9.66, 97.15, and -148.3 values for Adjusted R-squared, F-statistic, Log-likelihood and AIC metrics, respectively.

Keywords
Panel data regression models, Bank profitability, Nigeria money deposit banks, Comparative analysis, Fixed effects model.

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