Econometrics: Springer Texts in Business and Economics
Autor Badi H. Baltagien Limba Engleză Paperback – 30 mai 2011
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 471.91 lei 38-44 zile | |
Springer Berlin, Heidelberg – 30 mai 2011 | 471.91 lei 38-44 zile | |
Hardback (1) | 368.06 lei 3-5 săpt. | +40.41 lei 4-10 zile |
Springer International Publishing – 28 ian 2022 | 368.06 lei 3-5 săpt. | +40.41 lei 4-10 zile |
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Specificații
ISBN-13: 9783642200588
ISBN-10: 3642200583
Pagini: 428
Ilustrații: illustrations
Dimensiuni: 193 x 260 x 22 mm
Greutate: 1.02 kg
Ediția:5th ed. 2011
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Springer Texts in Business and Economics
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642200583
Pagini: 428
Ilustrații: illustrations
Dimensiuni: 193 x 260 x 22 mm
Greutate: 1.02 kg
Ediția:5th ed. 2011
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Springer Texts in Business and Economics
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
GraduateCuprins
Part 1: What Is Econometrics?.- Basic Statistical Concepts.- Simple Linear Regression.- Multiple Regression Analysis.- Violations of the Classical Assumptions.- Distributed Lags and Dynamic Models.- Part 2: 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 Analysis.
Notă biografică
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 A&M University. He is a fellow of the Journal of Econometrics and a recipient of the Multa and Plura Scripsit Awards from Econometric Theory.
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 A&M University. He is a fellow of the Journal of Econometrics and a recipient of the Multa and Plura Scripsit Awards from Econometric Theory.
Textul de pe ultima copertă
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 spatial correlation, panel data, limited dependent variables, regression diagnostics, specification testing and time series analysis. Each chapter has a set of theoretical exercises as well as empirical illustrations using real economic applications. These empirical exercises usually replicate a published article using Stata or Eviews.
“A most useful text for an econometrics course. There are not many introductions to econometrics which approach the relevant material so consistently from the viewpoint of the student. The book is also well suited for self study and can be recommended to everybody who is in need to quickly acquire the basics of the field.”
Prof. Walter Krämer, University of Dortmund
“A most useful text for an econometrics course. There are not many introductions to econometrics which approach the relevant material so consistently from the viewpoint of the student. The book is also well suited for self study and can be recommended to everybody who is in need to quickly acquire the basics of the field.”
Prof. Walter Krämer, University of Dortmund
Caracteristici
Useful introduction and solid training in Econometrics
With applications and hands-on exercises
Provides econometric methods for estimating, testing, and forecasting to applied economists and social scientists
Illustrates methods with practical software including Stata and EViews
Includes supplementary material: sn.pub/extras
With applications and hands-on exercises
Provides econometric methods for estimating, testing, and forecasting to applied economists and social scientists
Illustrates methods with practical software including Stata and EViews
Includes supplementary material: sn.pub/extras