Basic Econometrics

The nature of regression analysis; two-variable regression analysis - some basic ideas; two variable regression model - the problem of estimation; the normality assumption - classical normal linear regression model; two-variable regression - interval estimation and hypothesis testing; extensions of the two-variable linear regression model; multiple regression analysis - the problem of estimation; multiple regression analysis - the problem of inference; the matrix approach to linear regression model; multicollinearity and micronumerosity. heteroscedasticity; autocorrelation; econometric modelling I - traditional econometric methodology; econometric modelling II - alternative econometric methodologies; regression on dummy variables; regression on dummy dependent variable - the LPM introduction; descriptive statistics; probability and probability distributions; statistical inference - estimation; statistical inference - testing hypotheses; examination; simple regression analysis; multiple regression analysis; further techniques and applications in regression analysis; problems in regression analysis; simultaneous-equations methods; examination.