Applied Econometrics using EViews-I

Paper Code: 
GECO 305
Credits: 
2
Periods/week: 
2
Max. Marks: 
100.00
Objective: 

The course will enable the students to

  1. To acquaint the students with the basics of EViews software.
  2. To explain the use of EViews for estimating simple and multiple linear regression models. 
  3. To estimate and interpret the functional forms in EViews.

 Course Outcomes (COs).

 Course Outcome (at course level)

Learning and teaching strategies

Assessment Strategies 

On completion of this course, the students will:

CO157. Understand the working of statistical software Views.

CO158. Analyze the methods of estimation of simple and multiple linear regression models. 

CO159. Interpret the results of estimation of different models.

CO160. Improve them quantitative aptitude with practical exercises.

CO161. Develop the ability of data analysis and econometric results interpretation.

Approach in teaching: Interactive Lectures, Discussion and Demonstration.

 

Learning activities for the students:

Practice modules and  Assignments.

Practical File Preparation,  Assignments,  Semester end examinations.

 

6.00
Unit I: 

Simple Linear Regression Model: Two Variable Case I EViews basics; Estimation of classical linear regression model by method of ordinary least squares; interpretation of results

 

6.00
Unit II: 

Simple Linear Regression Model: Two Variable Case II

Goodness of fit; tests of hypotheses; confidence intervals; interpretation of results

 

6.00
Unit III: 

Testing for structural changes Chow Test; interpretation of results 

 

6.00
Unit IV: 

Functional Forms

Estimation of Log-linear model, semilog models, reciprocal models and logarithmic reciprocal model; interpretation of results

 

6.00
Unit V: 

Multiple Regression Model

Estimation of parameters; goodness of fit - R2 and adjusted R 2; testing hypotheses – individual and joint; interpretation of results

 

ESSENTIAL READINGS: 
  1. D. N. Gujarati and D.C. Porter, Essentials of Econometrics, McGraw Hill,  4th edition, International Edition, .
  2. Christopher Dougherty, Introduction to Econometrics, Oxford University Press.
  3. Jan Kmenta, Elements of Econometrics, Indian Reprint, Khosla Publishing House.

 

REFERENCES: 

SUGGESTED READINGS: 

  1. A. Koutsoyiannis, Theory of Econometrics, Palgrave Macmillan.

 

E RESOURCES:

JOURNALS:

 

Academic Year: 
2022-23
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