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. |
Contents
Introduction | 1 |
SingleEquation Regression Models | 11 |
Rates of inflation in five industrial countries 19601980 | 24 |
Copyright | |
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assume assumption autocorrelation average B₁ Chap classical linear regression coefficient of determination collinearity computed confidence interval consider consumption expenditure correlation coefficient demand function dependent variable discussed disturbance term dummy variables Durbin-Watson e₁ Econometrics economic elasticity equation Exercise expected explanatory variables F test F value f₁ f₂ following model given heteroscedasticity homoscedastic income increases intercept term k-variable least-squares level of significance linear regression linear regression model matrix measure method multicollinearity multiple regression normally distributed Note null hypothesis observations obtain OLS estimators output parameters percent problem procedure regression analysis regression coefficients regression line regression model residuals sample serial correlation shown shows slope coefficient specification error ẞ₁ ẞ₂ standard errors statistically significant stochastic Table tion true two-variable u₁ unbiased estimator variance w₁ X₁ X2 and X3 Y₁ zero β₁ β₂ βι Σ Χ σ² Σχ



