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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adaptive expectations assume assumption autocorrelation average B₁ B₂ Chap classical linear regression collinearity computed confidence interval consider consumption expenditure D₁ demand function dependent variable discussed disturbance term dummy variables Durbin-Watson Econometrics economic equation error term example Exercise expected explanatory variables F test following model heteroscedasticity homoscedastic hypothesis testing income increases intercept term Koyck least-squares linear regression linear regression model logit matrix mean value measured method multicollinearity normally distributed Note null hypothesis observations obtain OLS estimators output P₁ parameters percent probability probit problem procedure regression analysis regression coefficients regression line regression model residuals salary sample serial correlation shows slope coefficient specification error squares ẞ₁ ẞ₂ standard errors statistically significant tion transformed true two-variable u₁ unbiased estimator variance X₁ Y₁ Y₂ zero α₁ α₂ βι Σ Χ σ²