Introduction -- Criteria for estimators -- The classical linear regression model -- Interval estimation and hypothesis testing -- Specification -- Violating assumption one: wrong regressors, nonlinearities, and parameter inconstancy -- Violating assumption two: nonzero expected disturbance -- Violating assumption three: nonspherical disturbances -- Violating assumption four: instrumental variable estimation -- Violating assumption four: measurement errors and autoregression -- Violating assumption four: simultaneous equations -- Violating assumption five: multicollinearity -- Incorporating extraneous information -- The Bayesian approach -- Dummy variables -- Qualitative dependent variables -- Limited dependent variables -- Panel data -- Time series econometrics -- Forecasting -- Robust estimation -- Applied econometrics -- Computational considerations