Introductory Econometrics with ApplicationsIntroductory Econometrics with Applications is the only well-integrated introductory econometrics book that develops the theoretical foundations from an intuitive point of view, illustrates concepts with numerous real-world examples, provides practical training with computer software, and has a separate chapter with detailed steps for carrying out empirical projects. This text presents techniques for estimating economic relationships, testing hypothesis, and forecasting and is unique in its emphasis on the practical application of these tools to real-world problems. Offers an ideal combination of econometric theory and hands-on practical training for undergraduate and graduate courses. Provides real-world examples of model specification, estimation, and hypothesis testing and includes information on mathematics, probability, statistics and software applications. |
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Adjusted R-squared Appendix assumption autocorrelation auxiliary regression average B₁ B₂ Chapter chi-square chi-square distribution constant term consumption critical value degrees of freedom dependent variable derived distribution dummy variables Durbin-Watson Econometrics Economic elasticity Equation error sum error term example expect expenditures explanatory variables F-distribution first-order forecast formulation function given H₁ hence heteroscedasticity homoscedasticity income independent Lagrange multiplier least squares level of significance linear LM test logarithm mean measure model selection statistics multicollinearity Note null hypothesis obtain OLS estimates omitted p-value parameters per-capita percent level period population Practice Computer Session procedure Property R-squared random variable regression coefficients regression model reject the null relation residuals restricted model sample Section serial correlation SQFT ẞ₁ standard errors Step sum of squares t-statistics Table test statistic tion u₁ Unadjusted unbiased variance Wald test weighted least squares WLFP X₁ Y₁ zero