Charles Aronu

Anambra State University, Uli, Anambra state, Nigeria, Statistics, Faculty Member

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I am a practicing Statistician and researcher. My interest cuts across disciplines with the aim of solving complex research problems which are expected to impact positively in the development of the world at large.
Address: Awka, Anambra State, Nigeria

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Papers by Charles Aronu

The Impact of Economic Development on Land Mortgage Financing in Nigeria

This study examined the impact of economic development on land mortgage financing in Nigeria usin... more This study examined the impact of economic development on land mortgage financing in Nigeria using Delta State as a case. The main aim is to ascertain the contributions of predictor variables such as Year, Gross Domestic Product (GDP), Money in Circulation (MC), Lending Rate (LR), Headline inflation rate (HI) and Core inflation rate (CI) on the variations on land mortgage transactions in Delta State. Secondary source of data collection was employed in this study and the multiple regression analysis was used to fit the model assuming a 95% confidence level. The result of the study revealed that the independent variables were able to explain most behavior of the dependent variable (number of land mortgage transaction) within the observed period. It was also found that the explanatory factors contributed to the model significantly. In addition, it was observed that the factors responsible for the significant contribution were variable Year and lending rate. However, variables such as G...

Permutation Methods for Chow Test Analysis an Alternative for Detecting Structural Break in Linear Models

Advances in Science, Technology and Engineering Systems Journal, 2019

This study examined the performance of two proposed permutation methods for Chow test analysis an... more This study examined the performance of two proposed permutation methods for Chow test analysis and the Milek permutation method for testing structural break in linear models. The proposed permutation methods are: (1) permute object of dependent variable and (2) permute object of the predicted dependent variable. Simulation from gamma distribution and standard normal distribution were used to evaluate the performance of the methods. Also, secondary data were used to illustrate a real-life application of the methods. The findings of the study showed that method 1(permute object of dependent variable) and Method2 (permute object of the predicted dependent variable) performed better than the traditional Chow test analysis while the Chow test analysis was found to perform better than the Milek permutation for structural break. The methods were used to test whether the introduction of Nigeria Electricity Regulatory Commission (NERC) in the year 2005 has significant impact on economic growth in Nigeria. The result revealed that all the methods were able to detect presence of structural break at break point 2005. Also, the methods were used to test for structural break at January, 2015 for monthly reported cases of appendicitis in Nigeria. Result revealed that all the methods were able to detect presence of structural break at break point January, 2015.

Charles Aronu

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