·       Definition, Simple Regression Model with Dummy independent variable(s) - ANOVA models, dummy variable trap, ANOVA model with interaction dummy, ANCOVA models

·       comparing two regressions - Chow test and dummy variable approach.

·       Models with Dummy Dependent Variable

·       Linear Probability Model, Logit Model, Probit Model

·       Measuring goodness of fit- Effron’s R² and McFadden’s Pseudo R²

Examining the overall significance of regression

• Definition and Specification, Geometric Lag Approach
•  Estimation of Geometric Lag Model- The Koyck Method, Adaptive Expectations Model, Partial Adjustment Model, Almon’s Polynomial Lag Model.

• Definition, usefulness and types, Panel Data Models- Constant Coefficients Model, Fixed-Effects Model, Random Effects Model, The Hausman Test.
• Time Series Econometrics-Important concepts
• Stochastic process, stationary stochastic process, white noise stochastic process, random walk (with and without drift), unit root stochastic process,
• sources of non-stationarity
• spurious regression problem.

• Graphical approach, Autocorrelation function and Correlogram
• Unit root test, Dickey-Fuller test, Augmented Dickey-Fuller test, Phillips-Perron test.
• Cointegration and Error Correction Mechanism: Engle-Granger cointegration test and ECM.
• ARIMA Forecasting- Box-Jenkins Methodology,
• Vector Autoregressive Model- Specification, estimation, forecasting
• Vector Error Correction Model.
• Causality tests: Granger Causality test and Sims Causality test.

• Meaning, features and examples
• OLS estimation ignoring simultaneity
•  Structural and reduced form equations
•  Identification problem- Rules and application
• Estimation of Simultaneous Equations System- Indirect Least Squares and Two-Stage Least Squares