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Econometric Methods
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A classic text in the field, this new edition features a new co-author and provides a well-balanced and comprehensive study of current econometric theory and practice for undergraduate or graduate study. Traditional topics are carefully blended with newer techniques and trends. While the authors of this text assume students have taken a basic course in statistics, they provide a complete appendix on basic statistical theory for those who may need a refresher. In addition, the authors include in an appendix a review of all relevant topics in matrix algebra. Includes data disk.Table of contents:...
A classic text in the field, this new edition features a new co-author and provides a well-balanced and comprehensive study of current econometric theory and practice for undergraduate or graduate study. Traditional topics are carefully blended with newer techniques and trends. While the authors of this text assume students have taken a basic course in statistics, they provide a complete appendix on basic statistical theory for those who may need a refresher. In addition, the authors include in an appendix a review of all relevant topics in matrix algebra. Includes data disk.
Table of contents:
1 Relationships Between Two Variables 2 Further Aspects of Two Variable Relationships 3 The k-Variable Linear Equation 4 Some Tests of the k-Variable Linear Equation for Specification Error 5 Maximum Likelihood (ML), Generalized Least Squares (GLS), and Instrumental Variable (IV) Estimators 6 Heteroscedasticity and Autocorrelation 7 Single Equation Modeling I: The Univariate Case 8 Single Equation Modeling II: The Multivariate Case 9 Multiple Equation Models 10 Generalized Method of Moments 11 A Smorgasbord of Computationally Intensive Methods 12 Limited Dependent Variable and Related Models 13 Panel Data
Table of contents:
1 Relationships Between Two Variables 2 Further Aspects of Two Variable Relationships 3 The k-Variable Linear Equation 4 Some Tests of the k-Variable Linear Equation for Specification Error 5 Maximum Likelihood (ML), Generalized Least Squares (GLS), and Instrumental Variable (IV) Estimators 6 Heteroscedasticity and Autocorrelation 7 Single Equation Modeling I: The Univariate Case 8 Single Equation Modeling II: The Multivariate Case 9 Multiple Equation Models 10 Generalized Method of Moments 11 A Smorgasbord of Computationally Intensive Methods 12 Limited Dependent Variable and Related Models 13 Panel Data