Introductory Econometrics Syllabus DU

Unit 1 Nature and scope of econometrics

Unit 2 Simple linear regression model:
Two variable case Ordinary least squares estimation of a linear model; properties of estimators; goodness of fit; testing of hypotheses; scaling and units of measurement; confidence intervals; the GaussMarkov theorem; forecasting and prediction

Unit 3 Multiple linear regression model
Extension of the single explanatory variable case to a multivariate setting; introducing non-linearities through functions of explanatory variables

Unit 4 Violations of classical assumptions:
Consequences, detection and remedies Multicollinearity; heteroscedasticity; serial correlation

Unit 5 Specification Analysis
Omission of a relevant variable; inclusion of irrelevant variable; specification tests

References Books
1. Dougherty, C. (2011). Introduction to econometrics, 4th ed. Oxford University Press. 20
2. Gujarati, D. (2014). Econometrics by example, 2nd ed. Palgrave Macmillan.
3. Gujarati, D., Porter, D. (2010). Essentials of econometrics, 4th ed. McGrawHill.
4. Kmenta, J. (2008). Elements of econometrics. Khosla Publishing House.
5. Maddala, G., Lahiri, K. (2009). Introduction to econometrics, 4th ed. Wiley.
6. Wooldridge, J. (2014). Introduction to econometrics: A modern approach, 5th ed. Cengage Learning

Keywords
Regression, least squares, linear models

Amendment as per the last meeting on 13th January, 2022
*As per the notice on DSE Website