The syllabus for a basic econometrics course typically covers fundamental concepts, methods, and applications in econometric analysis. Here’s a structured outline of what is generally included:
1. Introduction to Econometrics
- Definition and Scope
- What is econometrics?
- Relationship between econometrics, economics, and statistics.
- Methodology
- Steps in econometric analysis: formulation, estimation, inference, interpretation.
- Types of econometric models: cross-sectional, time series, panel data.
2. Simple Linear Regression Analysis
- Simple Linear Regression Model
- Formulation and assumptions.
- Interpretation of the regression equation: intercept, slope.
- Estimation
- Method of Ordinary Least Squares (OLS).
- Properties of OLS estimators: unbiasedness, consistency, efficiency.
- Inference
- Hypothesis testing: significance of coefficients.
- Confidence intervals.
3. Multiple Linear Regression Analysis
- Multiple Linear Regression Model
- Including multiple explanatory variables.
- Interpretation of coefficients.
- Model Specification
- Testing model specification: omitted variable bias, functional form.
- Goodness-of-Fit
- R-squared, adjusted R-squared.
- F-test for overall significance.
- weekly three to four classes based on students learning it can be extended if the students is facing difficulty.
- Eviews basics will be covered
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