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
2 | 14 |
Constrained Optimization Multivariate Distributions | 67 |
A 4 Certain Useful Results on Summations | 75 |
Copyright | |
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a₁ Added variable Adjusted R-squared alternative Assumption autocorrelation auxiliary regression average B₁ B₂ BEDRMS Chapter chi-square distribution compute constant term consumption correlogram covariance degrees of freedom dependent variable derivative double-log dummy variables Durbin-Watson econometric Economic ECSLIB equation error sum error term example expected explanatory variables first-order forecasts formulation function genr H₁ hence heteroscedasticity homoscedasticity income independent Lagrange multiplier least squares linear LM test log-linear model logarithm model selection MODEL SELECTION STATISTICS multicollinearity normal distribution null hypothesis obtain OLS estimates omitted p-value parameters percent level population predicted procedure Property R-squared random variable reduced form regression coefficients regression model reject the null residuals Section serial correlation SGMASQ SQFT standard errors Step sum of squares t-distribution t-statistics t-values Table u₁ unbiased estimator unrestricted model variance Wald test WLFP X₁ Y₁ zero