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 | 8 |
6 | 24 |
Copyright | |
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analysis applied assume assumption autocorrelation average Chap chapter classical coefficient collinearity computed conditional confidence interval consider constant consumption expenditure correlation cost demand dependent variable determination discussed distribution disturbances Econometrics economic effect elasticity equal equation errors estimated example Exercise expected explanatory variables expressed FIGURE function given gives heteroscedasticity hypothesis illustrative included income increases individual intercept known lagged linear matrix mean measurement method multicollinearity nature normal Note null hypothesis observations obtain OLS estimators original output parameters partial percent period population positive practice preceding present probability problem procedure production properties regression model relationship residuals respectively sample shown shows significance simple slope specification squares standard statistically suggest Suppose Table term theory tion transformed true unbiased unemployment unit usual variance zero