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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adaptive expectations Appendix assume assumption autocorrelation autoregressive average B₁ B₂ B₂X Chapter collinearity computed confidence interval consider the following consumption expenditure covariance data given dependent variable discussed disturbance term dollars dummy variable Durbin-Watson Econometrics economic equation error term example expected explanatory variables F test Figure following model following regression forecast given in Table heteroscedasticity homoscedastic income increases lagged least-squares linear regression linear regression model logit matrix mean value measure method multicollinearity normally distributed Note null hypothesis observations OLS estimators parameters percent period PGNP probability probit problem rē value random reduced-form regressand regression analysis regression coefficients regression line regression model regression results regressors reject relationship residuals sample Section shown shows slope coefficient standard errors stationary statistically significant stochastic theory tion true two-variable u₁ unit root variance X₁ Y₁ zero βι ΣΧ