Applied Econometrics using EViews-I

Paper Code: 
ECO 324(A - P)
Credits: 
2
Contact Hours: 
60.00
Objective: 

The aim of this course is to provide a foundation in applied econometric analysis and develop skills required for empirical research in economics. Since the emphasis is on application of methods, this course requires understanding of econometric software EViews.

Unit I: 
Simple Linear Regression Model

About EViews software package Estimation of Simple Linear Regression Model, Presentation and interpretation of regression results.

Unit II: 
The Multiple Linear Regression Model

Estimation of Multiple Linear Regression Model, Presentation and interpretation of regression results, Omitted Variable test, Redundant Variable test, Wald test of Coefficient Restrictions.

Unit III: 
Heteroscedasticity

Tests of heteroscedasticity, Estimation of White’s Heteroscedasticity-Consistent Standard Errors, Weighted Least Squares Estimation.

Unit IV: 
Autocorrelation

The Durbin-Watson test, Breusch-Godfrey test, Estimation of model using Iterative Method, OLS regression with HAC Standard Errors.

Unit V: 
Multicollinearity

Tests for Multicollinearity- Correlation matrix, Computation of VIFs, Coefficient Variance Decomposition.

 

 

 

 

 

EViews software is to be used

Essential Readings: 

Bhaumik, S.K., Principles of Econometrics- A Modern Approach using EViews, Oxford University Press, 2015.

Academic Session: 
2018-19
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