Gujarati'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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SingleEquation Regression Models
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analysis assume assumption average called Chap chapter classical coefficient computed conditional confidence interval consider constant consumption expenditure correlation 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 holding illustrative income increases independent individual intercept interpretation introduced known linear matrix mean measure method multiple normally distributed Note null hypothesis observations obtain OLS estimators output parameters partial percent period population positive practice preceding prediction probability problem procedure production properties regression model reject relationship residuals respectively sample shown shows significance simple slope Source specification squares standard statistically stochastic Suppose Table term theory tion true two-variable unbiased unit usual variance zero