IE 308 : Econometrics

Department

Department of Islamic Economics

Academic Program

Bachelor in Islamic economics

Type

Compulsory

Credits

03

Prerequisite

Overview

The course (Economics) and its code (IE308) is taught to students in the third year of the Department of Islamic Economics, at the rate of two hours per week. In this course, the student studies important topics in the econometric approach, research methods in econometrics, the simple linear regression model and its applications, and regression analysis Multiple regression analysis problems and their applications, as well as problems of regression analysis, the problem of autocorrelation and the distributed lag time model, applications of the estimated model, and problems of regression analysis, the problem of statistical covariance. The main objective of teaching the subject is to provide the student with the necessary statistical and mathematical knowledge and tools to analyze economic variables quantitatively to estimate the value of these variables and predict their time course.The value that accrues to the student from studying the course is due to:The student should know the statistical and mathematical tools for analyzing economic variables. - 1To familiarize the student with research methods in econometrics. - 2- That the student understands the measurement of the correlation between qualitative variables.3

Intended learning outcomes

First: Mental skills: The student connects between study and application, and the student quantitatively analyzes the economic variables to estimate the value of these variables, and the student uses the knowledge he acquired to predict the value of variables in the future, and the student distinguishes between descriptive and quantitative analysis. Second: Scientific and professional skills: It is represented in enhancing the student's ability to use what he studied in professional applications, the ability to understand and research econometric books and extract useful information from them, and the ability to analyze data to reach results.