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Standard economy

Course Description: Simple and Multiple Linear Regression Models - Nonlinear Regression Models - Dummy Variables - Multicollinearity - Errors in Variables - Generalized Least Squares Method - Heteroskedasticity - Autocorrelation - Some Time Series Models - Simultaneous Equations - Instrumental Variables - Consumption Function - Measurement Error.
Credit hours: 3
Prerequisites: 332 STAT
Objectives of the course :

This course aims to introduce the student to some fundamental concepts and econometric forecasting methods.

Course outputs :

Acquiring knowledge in forecasting and econometrics. Enhancing scientific efficiency and expertise in dealing with common problems in statistics and operations research. Raising the ability to pursue advanced studies in this field when needed. Acquiring cognitive skills related to econometrics and solving and managing economic problems.

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  • Last updated: 2026-06-04

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