Econometrics –I

Paper Code: 
ECO 314 (T)
Credits: 
2
Contact Hours: 
30.00
Max. Marks: 
100.00
Objective: 

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.

6.00
Unit I: 
Nature of Econometrics and Statistical Concepts

Nature, scope and methodology of econometrics;

Statistical concepts: Normal distribution; chi-square, t- and F-distributions; estimation of parameters; properties of estimators; testing of hypotheses: defining statistical hypotheses Type I and Type II errors; power of a test.

6.00
Unit II: 
Simple Linear Regression Model: Two Variable Case-I

Nature of regression analysis; assumptions of Classical Linear Regression Model, estimation of model by method of ordinary least squares; properties of least square estimators; Gauss-Markov theorem.

6.00
Unit III: 
Simple Linear Regression Model: Two Variable Case-II

Goodness of fit; tests of hypotheses; scaling and units of measurement; confidence intervals; Chow Test, forecasting.

6.00
Unit IV: 
Functional forms of regression models

Log-linear model, semilog models, reciprocal models and logarithmic reciprocal model.

6.00
Unit V: 
Multiple Linear Regression Model

Estimation of parameters; properties of OLS estimators; partial regression coefficients; goodness of fit - R2 and adjusted R 2; testing hypotheses – individual and joint.

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.

4.   A. Koutsoyiannis, Theory of Econometric, Palgrave Macmillan.

 

Academic Session: 
2019-20
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