Random Variables
Controlled vs. uncontrolled experimental data
Discrete vs. continuous random variables
Review of probability concepts
Expected value
Sample moments of a random variable
The joint density functions
Marginal density, conditional density and independence
Covariance and correlation
The Normal density
The econometric model
The least squares principle
Estimating the econometric model and interpreting the results
The properties of the least squares estimate of an econometric model
Inference and prediction in the Simple Linear Regression Model
Interval estimation and hypothesis testing
Evaluating the Simple Linear Regression Model
The econometric model with more than one independent variable
The least squares principle
Estimating the multiple regression and interpreting the results
Inference and prediction in the multiple regression
Single and joint hypothesis tests of the parameters of the econometric model
Model specification issues
Collinear variables
Binary variables
Interactions between binary variables
Functional form
Heteroskedasticity
Serial correlation
Random regressors - instrument variable
Estimating regression models with panel data
Regression models with binary dependent variable
Stationary time series
Spurious regression
Tests for stationarity
Cointegration
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