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. 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…mehr
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. 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.
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Autorenporträt
Badi H. Baltagi is distinguished Professor of Economics, and Senior Research Associate at the Center for Policy Research, Syracuse University. He received his Ph.D. in Economics at the University of Pennsylvania in 1979. Before joining Syracuse University, he served on the faculty at the University of Houston and Texas University. He is a fellow of the Journal of Econometrics and a recipient of the Multa and Plura Scripsit Awards from Econometric Theory.
Inhaltsangabe
From the Contents: - What is Econometrics? - Basic Statistical Concepts - Simple Linear Regression - Multiple Regression Analysis - Violations of the Classical Assumptions - Distributed Lags and Dynamic Models - The General Linear Model: The Basics - Regression Diagnostics and Specification Tests - Generalized Least Squares - Seemingly Unrelated Regressions - Simultaneous Equations Model - Pooling Time-Series of Cross-Section Data - Limited Dependent Variables - Time-Series Models.
From the Contents: - What is Econometrics? - Basic Statistical Concepts - Simple Linear Regression - Multiple Regression Analysis - Violations of the Classical Assumptions - Distributed Lags and Dynamic Models - The General Linear Model: The Basics - Regression Diagnostics and Specification Tests - Generalized Least Squares - Seemingly Unrelated Regressions - Simultaneous Equations Model - Pooling Time-Series of Cross-Section Data - Limited Dependent Variables - Time-Series Models.
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