Applied Econometrics using EViews-I

Paper Code: 
25GECO305
Credits: 
02
Periods/week: 
04
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: 

Course

Learning outcome

(at course level)

Learning and teaching strategies

Assessment Strategies

Course

Code

Course

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25GEC O 305

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Applied Econometri cs using EViews-I (Practical)

CO187. Analyze the fundamentals    of statistical  software EViews and  estimate and interpret the  results of classical       linear regression model  by OLS.

CO188.Estimate                simple regression             models, interpret  the  results  and test the         hypotheses.

CO189.  Test   structural changes  in   data  series and  interpret the  results.

CO190.    Estimate   the various  functional  forms of     regression    models and  interpret the  results.

CO191.   Estimate multiple   regression models, test their reliability,       test hypotheses and  interpret results.

CO192.Contribute effectively     in     course- specific  interaction.

Approach in teaching: Inter active  Lectures, Discussion,

Case  studies..

 

Learning activities for the students: Presentations, Assignments and  Group discussions.

Class activity, Assignments and 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: 

Bhaumik, S. K. , Principles  of Econometrics: A Modern  Approach Using EVIEWS. Oxford

University  Press, 1st  Edition,  2015.

 

REFERENCES: 

SUGGESTED READINGS:

Asteriou, D. and  Hall, S. G., Applied Econometrics : A modern Approach Using EVIEWS and

MICROFIT. Palgrave Macmillan,   1st  Edition,  2007.

e RESOURCES:

1.   Econometrics Academy--------sites.google.com/site/econometricsacademy

2.   MIT Open  Courseware---------ocw.mit.edu

3.   Econometrics: Methods and  Applications-Coursera-------coursera.org

4.   Crunch  Econometrics----------cruncheconometrix.com

5.   Explaining  the  Core Theories of Econometrics------udemy.com

JOURNALS:

1.   Theoretic and  Applied Econometrics:  http://www.ectap.ro/

2.   The  Journal of Econometrics     Academic.oup.com/ectj

3.   Journal of Applied Econometrics Onlinelibrary.wiley.com/journal/18735924

 

Academic Year: