| Unit 1 [Book] | |
| Meaning, Nature and Scope of Econometrics, Economic and Econometric models, Methodology of Econometrics | VIEW |
| Probability meaning | VIEW |
| Addition, Multiplication | VIEW |
| Bayes theorem | VIEW |
| Random Variables, Joint, Marginal and Conditional distributions | VIEW |
| Normal probability distribution | VIEW |
| Statistical inference, Estimators and their properties | VIEW |
| Sampling Distributions, Interval estimation | VIEW |
| Unit 2 [Book] | |
| Regression basics, Population regression function, Sample regression function | VIEW |
| The method of OLS, Classical Linear Regression Model. Assumptions of OLS properties of least square estimators | VIEW |
| Gauss-Markov theorem | VIEW |
| Residuals, Fitted values, and Goodness of Fit, Probability distribution of residuals | VIEW |
| Interval estimation and hypothesis testing | VIEW |
| Unit 3 [Book] | |
| Multivariate Regression, Multiple Linear Regression Model, Estimation of Parameters, Properties of OLS estimators | VIEW |
| Goodness of fit – R2 and adjusted R2: Partial Regression coefficients | VIEW |
| Testing Hypotheses Individual and Joint | VIEW |
| Functional forms of Regression Models: Qualitative (Dummy) independent variables Misspecification; Model selection (Criteria) | VIEW |
| Unit 4 Violations of Classical Assumptions: [Book] | |
| Multicollinearity (Nature and causes, Estimation in presence of perfect and Imperfect Multicollinearity problems with measuring Multicollinearity, Solution to Multicollinearity problem | VIEW |
| Heteroskedasticity Nature and Cause, Detection of Heteroskedasticity, Consequences of Heteroskedasticity, Solution to heteroskedasticity problem | VIEW |
| Serial Correlation Consequences, Detection And Remedies | VIEW |
| Dummy Variables and Truncated variables, Diagnostic Checking | VIEW |