Econometrics

Econometrics

Author: Hamid Seddighi

Publisher: Psychology Press

Published: 2000

Total Pages: 422

ISBN-13: 9780415156455

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Recognising the fact that A level mathematics is no longer a necessary prerequisite for economics courses, this text introduces this key subdivision of economics to an audience who might otherwise have been deterred by its complexity.


Econometrics

Econometrics

Author: Badi H. Baltagi

Publisher: Springer Nature

Published: 2022-01-27

Total Pages: 496

ISBN-13: 3030801497

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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, Eviews as well as SAS. This new sixth edition has been fully revised and updated, and includes new material on limited dependent variables and panel data as well as revision of basic topics like heteroskedasticity, endogeneity, over-identification and specification testing. The author also provides more exercises and empirical examples based on published economic applications.


Econometrics

Econometrics

Author: Badi Hani Baltagi

Publisher: Springer Science & Business Media

Published: 2002

Total Pages: 426

ISBN-13: 9783540435013

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As well as specification testing, Gauss-Newton regressions and regression diagnostics. In addition, the book features a set of empirical illustrations that demonstrate some of the basic results. The empirical exercises are solved using several econometric software packages.


The Theory and Practice of Econometrics

The Theory and Practice of Econometrics

Author: George G. Judge

Publisher: John Wiley & Sons

Published: 1991-01-16

Total Pages: 1062

ISBN-13: 047189530X

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This broadly based graduate-level textbook covers the major models and statistical tools currently used in the practice of econometrics. It examines the classical, the decision theory, and the Bayesian approaches, and contains material on single equation and simultaneous equation econometric models. Includes an extensive reference list for each topic.


Introductory Econometrics

Introductory Econometrics

Author: Hamid Seddighi

Publisher: Routledge

Published: 2013-03-01

Total Pages: 466

ISBN-13: 1136586091

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This book constitutes the first serious attempt to explain the basics of econometrics and its applications in the clearest and simplest manner possible. Recognising the fact that a good level of mathematics is no longer a necessary prerequisite for economics/financial economics undergraduate and postgraduate programmes, it introduces this key subdivision of economics to an audience who might otherwise have been deterred by its complex nature.


Econometrics,2nd Rev.Ed

Econometrics,2nd Rev.Ed

Author: Badi Hani Baltagi

Publisher: Springer Science & Business Media

Published: 1998

Total Pages: 416

ISBN-13: 9783540780748

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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 data models, as well as specification testing, Gauss-Newton regressions and regression diagnostics. The strengths of this book lie in presenting difficult material in a simple, yet rigorous manner. In addition, the book features a set of empirical illustrations that demonstrate some of the basic results. The empirical exercises are solved using several econometric software packages.


Developing Econometrics

Developing Econometrics

Author: Hengqing Tong

Publisher: John Wiley & Sons

Published: 2011-12-12

Total Pages: 489

ISBN-13: 0470681772

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Statistical Theories and Methods with Applications to Economics and Business highlights recent advances in statistical theory and methods that benefit econometric practice. It deals with exploratory data analysis, a prerequisite to statistical modelling and part of data mining. It provides recently developed computational tools useful for data mining, analysing the reasons to do data mining and the best techniques to use in a given situation. Provides a detailed description of computer algorithms. Provides recently developed computational tools useful for data mining Highlights recent advances in statistical theory and methods that benefit econometric practice. Features examples with real life data. Accompanying software featuring DASC (Data Analysis and Statistical Computing). Essential reading for practitioners in any area of econometrics; business analysts involved in economics and management; and Graduate students and researchers in economics and statistics.