Introduction to econometrics and regression analysis. Identification of causal relationships.
Introduction to Gretl. User interface. Displaying and editing data. Basic statistical tools.
Multiple linear regression model. OLS estimation. OLS regression output. Interpretation of regression coefficients. Standard errors. P-values and statistical significance.
Explanatory power of the model. Sum of squares decomposition. Multiple R2.
Measures of partial effects and partial elasticities. Rescaling of variables. Standardized regression.
Measures of effect size and strength of relationship. Partial correlation coefficients.
Measures of explanatory power for individual variables. Partial R2. Chain rule.
