PREREQUISITE KNOWLEDGE AND ACADEMIC SUCCESS IN ECONOMETRICS: A LOGISTIC REGRESSION STUDY OF ECONOMICS UNDERGRADUATES IN NIGERIA

Abstract

This paper has discussed the factors that affect the academic performance of students in Econometrics at Prince Abubakar Audu University, Nigeria. Logistic regression modelling method was used to estimate quantitative demographic and academic data of a sample size of 897 Economics students. There were thirteen academic and demographic characteristics that were taken into account, bearing a particular interest in the performance in Econometrics. The results came up with six notable predictor variables that affect the academic performance of students in Econometrics. These consist of performance in Mathematics to Economists II (ECO 104), Economics Statistics (ECO 106), Macroeconomics Analysis II (ECO 204), Mathematics to Economists III (ECO 205) and Statistics to Economists III and IV (ECO 207 and ECO 208). This is because the courses 
are both introductory and analytical levels, with the critical role played in student achievement in Econometrics. The research suggests that these courses are of the utmost attention to educators and curriculum planners in the lecturing and learning framework to improve the quality of Econometrics learning in Nigeria.