Introductory Econometrics

By Prof. Deb Kumar Chakraborty | Dibrugarh University

Learners enrolled: 713

This course provides a comprehensive introduction to basic econometric concepts and techniques. It covers statistical concepts of hypothesis testing, estimation and diagnostic testing of simple and multiple regression models. The course also covers the violations of the assumptions of OLS, the consequences of and tests for misspecification of regression models along with errors in variables. The specific objectives of the course are:

To analyse the nature and scope of Econometrics
To define hypothesis and process of hypothesis testing.
To define the implications of the assumptions of OLS
To discuss the violations of assumptions
To discuss specification bias and errors in variables

Summary

Course Status :	Ongoing
Course Type :	Core
Duration :	12 weeks
Category :	Humanities and Social Sciences
Credit Points :	5
Level :	Undergraduate
Start Date :	15 Jul 2024
End Date :	31 Oct 2024
Enrollment Ends :	31 Aug 2024
Exam Date :	07 Dec 2024 IST
Exam Shift :	First

Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.

Page Visits

Course layout

Week 1 :

Module 1: Nature and Scope of Econometrics

Module 2: Models, Aims and methodology of Econometrics

Module 3: Limitations of Econometrics

Module 4: Basic Statistical concepts

Interaction 1; Assignment 1.

Week 2 :

Module 5: Estimate and estimator, Point vs. Interval estimation, Properties of estimators

Module 6: Probability distributions

Module 7: Normal distribution

Module 8: Uses of probability distributions in econometrics

Assignment 2.

Week 3 :

Module 9: Hypothesis-I

Module 10: Hypothesis-II

Module 11: Type I and Type II errors

Module 12: Power of a test

Interaction 2; Assignment 3.

Week 4 :

Module 13: Tests for comparing parameters from two samples

Module 14: Simple linear regression model

Module 15: Stochastic specification

Module 16: Significance of the error term

Assignment 4.

Week 5 :

Module 17: Ordinary Least Squares

Module 18: Assumptions of classical linear regression model

Module 19: BLUE, The Gauss Markov Theorem

Module 20: Multiple linear regression model-I

Interaction 2, Assignment 5

Week 6 :

Module 21: Multiple linear regression model-II

Module 22: Dummy variable; Problem associated with dummy variable-dummy variable trap

Module 23: Goodness of fit

Module 24: Adjusted R square

Assignment 6.

Week 7 :

Module 25: Forecasting

Module 26: Violations of classical assumptions

Module 27: Heteroscedasticity, Problem and consequences

Assignment 7

Week 8 :

Module 28: Heteroscedasticity- detection, alternative methods of estimation.

Module 29: Autocorrelation, sources and consequences

Module 30: Durbin Watson d test

Interaction 3

Assignment 8.

Week 9 :

Module 31: Autocorrelation-remedial measures

Module 32: Multicollinearity-Problem and consequences

Module 33: Detection of multicollinearity

Assignment 9

Week 10 :

Module 34: Multicollinearity- remedial measures

Module 35: Multicollinearity- remedial measures (contd.)

Module 36: Specification bias

Assignment 10, Interaction 4.

Week 11 :

Module 37: Omission of relevant variables

Module 38: Inclusion of irrelevant variables

Module 39: Test for specification bias

Assignment 11.

Week 12 :

Module 40: Errors in variable

Interaction 5, Assignment 12

Books and references

BOOKS AND REFERENCES

1. Gujarati, D.N. and Porter, D.C., Essentials of Econometrics, McGraw Hill.

2. Dougherty, C., Introduction to Econometrics, Oxford University Press.

3. Jan Kmenta, Elements of Econometrics, Indian Reprint, Khosla Publishing House.

4. Maddala, G.S., Introduction to Econometrics, Wiley India.

5. Studenmund, A.H., Using Econometrics-A Practical Guide, Pearson

6. Johnston, J. and Dinardo, J., Econometric Methods, McGraw-Hill

Instructor bio

Prof. Deb Kumar Chakraborty

Dibrugarh University

Prof. Deb Kumar Chakraborty is Professor of Economics and Dean, Faculty of Social Sciences at Dibrugarh University, Dibrugarh. With more than twenty years of teaching experience at Post Graduate level, his areas of interest are Econometrics, Applied Macroeconomics, Industrial Economics and Regional Economics