Description
Introduction to Econometrics
– Overview of the course objectives and structure
– Definition and scope of econometrics
– Role of econometrics in economic research and policy
The Simple Linear Regression Model
– Basics of regression analysis
– Estimation and interpretation of regression coefficients
– Hypothesis testing and confidence intervals
Multiple Regression Analysis
– Extension to multiple independent variables
– Assumptions and diagnostics in multiple regression
– Interpreting multiple regression coefficients
Model Specification and Functional Forms
– Choosing the appropriate functional form
– Polynomial regression and log-linear models
– Testing model specification errors
Violations of Assumptions and Remedies
– Detecting and addressing multicollinearity
– Heteroscedasticity and its consequences
– Autocorrelation and strategies for correction
Dummy Variables and Categorical Data
– Incorporating categorical variables in regression models
– Interpreting and testing dummy variables
– Interaction terms and moderation effects
Time Series Analysis
– Introduction to time series data
– Trend analysis and seasonality
– Autoregressive integrated moving average (ARIMA) models
Panel Data Analysis
– Overview of panel data structures
– Fixed-effects and random-effects models
– Applications of panel data in economic research
