Introductory Econometrics with ApplicationsOffers an ideal combination of econometric theory and hands-on practical training for undergraduate and graduate courses. The authors ambition is to provide realistic applications without sacrificing theoretical underpinnings. He uses a logical step-by-step approach to walk readers through numerous real-world examples of model specification, estimation, and hypothesis testing. The book also succeeds at being self-contained. By including background information on mathematics, probability, statistics, and software applications, readers have all the information they need in one place. |
Contents
Appendix A Statistical Tables | 1 |
Introduction | 3 |
O PART II Basics | 81 |
Copyright | |
16 other sections not shown
Common terms and phrases
Adjusted R-squared assumptions autocorrelation auxiliary regression average B₁ B₂ Chapter chi-square chi-square distribution constant term consumption covariance dependent variable derivative distribution dollars dummy variables econometric economic Equation Err of Resid Error Sum error term example expect explanatory variables forecasts formulation function genr hence heteroscedasticity homoscedasticity income independent lagged Lagrange multiplier least squares level of significance linear LM test logarithm mean model selection MODEL SELECTION STATISTICS multicollinearity normal distribution Note null hypothesis observations obtain OLS estimates p-value parameters percent level population Practice Computer Session procedure Property random variable regression coefficients regression model reject the null residuals sample Section serial correlation sgmahat Sq ESS SQFT ẞ₁ standard errors Std Err STEP Sum of Sq sum of squares t-statistics t-test Table test statistic tion u₁ Unadjusted unbiased unrestricted model variance Wald test WLFP X₁ Y₁ zero