Coming soon
APPLIED ECONOMETRICS USING EVIEWS-I
Course Objectives:
The objectives of this course are-
- To acquaint the students with the basics of software EViews.
- To develop an understanding of the use of EViews for estimating simple and multiple linear regression models.
- To acquaint the students with the detection and remedial methods of multicollinearity, heteroscedasticity and autocorrelation problems with the help of software EViews.
Course Outcomes (COs):
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Course |
Outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Paper Code |
Paper Title |
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ECO 324 (A-P) |
Applied Econometrics using EViews-I |
CO46: Acquire a hands-on training in the use of EViews software to estimate and interpret simple and multiple regression models. C047: Learn the various methods of detecting the problems of multicollinearity, heteroscedasticity, autocorrelation and specification error in data using EViews. |
Approach in teaching: Interactive Lectures, Discussion and Demonstration.
Learning activities for the students: Practice modules and Assignments. |
Practical File Preparation, Assignments, Semester end examinations. |
About EViews software package
Estimation of Simple Linear Regression Model, Presentation and interpretation of regression results.
Estimation of Multiple Linear Regression Model, Presentation and interpretation of regression results, Omitted Variable test, Redundant Variable test, Wald test of Coefficient Restrictions.
Tests of heteroscedasticity, Estimation of White’s Heteroscedasticity-Consistent Standard Errors, Weighted Least Squares Estimation.
The Durbin-Watson test, Breusch-Godfrey test, Estimation of model using Iterative Method, OLS regression with HAC Standard Errors.
Tests for Multicollinearity- Correlation matrix, Computation of VIFs, Coefficient Variance Decomposition.
Bhaumik, S.K., Principles of Econometrics- A Modern Approach using EViews, Oxford University Press, 2015
