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Econometrics

AUTHOR: Badi H. Baltagi
ISBN: 3540435018

SHORT DESCRIPTION: This reference introduces the basic econometric methods and the underlying assumptions behind them. It also includes a simple and concise treatment of more advanced topics in time-series, spatial correlation, limited dependent variables and panel...

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Econometrics
         Editorial Review

Econometrics
- Book Review,
by Badi H. Baltagi


Book Description
This textbook teaches some of the basic econometric methods and the underlying assumptions behind them. It also includes a simple and concise treatment of more advanced topics in time-series, spatial correlation, limited dependent variables and panel data models, as well as specification testing, Gauss-Newton regressions and regression diagnostics. Some of the strengths of this book lie in presenting difficult material in a simple, yet rigorous manner. The exercises contain theoretical problems that should supplement the understanding of the material in each chapter. In addition, the book has a set of empirical illustrations demonstrating some of the basic results learned in each chapter. The empirical exercises are solved using several econometric software packages.


Book Info
Text teaches some of the basic econometric methods and the underlying assumptions behind them. Includes a set of empirical illustrations demonstrating some of the basic results learned in each chapter. The empirical exercises are solved using several econometric software packages. Softcover. Previous edition c1999.


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         Book Review

Econometrics
- Book Reviews,
by Badi H. Baltagi

Econometrics

ANNOTATION

"...presents basic econometric methods and also more advanced topics in time series, limited dependent variables, and panel data models, as well as specification testing, Gauss-Newton regressions, and regression diagnostics."

FROM THE PUBLISHER

This textbook teaches some of the basic econometric methods and the underlying assumptions behind them. It also includes a simple and concise treatment of more advanced topics in time-series, limited dependent variables and panel data models, as well as specification testing, Gauss-Newton regressions and regression diagnostics.


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