
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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