- Models in economics: meaning, types, specifications, and application
- Basic elements of economic model building
- Factors affecting choice of models
- Regression analysis
- Causality analysis
- VAR (Vector Autoregression) model
- SURE (Seemingly Unrelated Regression Equations) model
- Non-linear models
- Non-time series models
- Use of econometric/statistical software in estimating models:
- PC-Give
- SPSS
- E-Views
- STATA
- Multivariate analysis:
- Principal components analysis
- Discriminant analysis
- Pre-estimation diagnostic tests:
- Unit root
- Co-integration
- Post-estimation diagnostic tests:
- Multicollinearity
- Heteroskedasticity
- Mis-specification test
- Normality test
- Autocorrelation
- Sensitivity and stability tests
- Survey data analysis:
- Survey design/questionnaire design (validity and reliability)
- Population and sample
- Sampling methods
- Sampling weights
- Seminar paper
Course Features
- Lecture 0
- Quiz 0
- Duration 10 weeks
- Skill level All levels
- Language English
- Students 0
- Assessments Yes
