Basic EconometricsGujarati's Basic Econometrics provides an elementary but comprehensive introduction to econometrics without resorting to matrix algebra, calculus, or statistics beyond the elementary level. Because of the way the book is organized, it may be used at a variety of levels of rigor. For example, if matrix algebra is used, theoretical exercises may be omitted. A CD of data sets is provided with the text. |
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assume assumption autocorrelation average B₁ B₂ Chap classical linear regression collinearity computed confidence interval constant consumption expenditure correlation coefficient demand function dependent variable discussed disturbance term e₁ Econometrics economic elasticity equation Exercise expected explanatory variables F test F value following model given heteroscedasticity homoscedastic hypothesis testing income increases intercept term k-variable least-squares level of significance linear regression linear regression model log-linear model matrix mean value measure method multicollinearity multiple regression normally distributed Note null hypothesis OLS estimators output parameters Phillips curve r² value regression analysis regression line regression model relationship residuals sample serial correlation shown shows slope coefficient ẞ₁ ẞ₂ standard errors statistically significant sum of squares Table theory three-variable tion true two-variable u₁ unbiased estimator variance X₁ X₂ Y₁ zero α₁ α₂ βι Σ Χ σ²