Contents. PART I: INTRODUCTION. 1. Econmetrics without stochastic models. 3. Economic models and statistical inference. 3. Linear model of simple regression. 4. The consumption function. Discussion of an econometric. PART II: LINEAR ESTIMATION. 5. The general theory of linear estimation. 6. Multiple regressions. 7. Analysis of variance and covariance. 8. Regressions in various contexts. PART III: TWO IMPORTANT STOCHASTIC MODELS. 9. Non-linear models with additive errors. 10. Linear models with errors in variables. PART IV: FITTING TIME SERIES. 11. Statistical analysis of time series. 12. Serial correlation of errors in regression models. 13. Autoregressive models. 14. Distributed lag models. PART V: SIMULTANEOUS EQUATION MODELS. 15. Simultaneous equation models in econometrics. 16. Estimation problems illustrated by some examples. 17. Identification. 18. General estimation methods in models with several equations. 19. Estimation of an equation in a simultaneous equations.