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- Author: PAUL TURNER
- Publisher: Mercury Learning and Information
- ISBN-10: 1683926609
- ISBN-13: 9781683926603
- Format: 18 x 23.1 x 2.3 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
This book covers the econometric methods necessary for a practicing applied economist or data analyst. This requires both an understanding of statistical theory and how it is used in actual applications. Chapters 1 to 9 present the material concerned with basic statistical theory. Chapters 10 to 13 introduce a number of topics which form the basis of more advanced option modules, such as time series methods in applied econometrics. To get the most out of these topics, companion files include Excel datasets and 4-color figures. It includes pull down menus to graph the data, calculate sample statistics and estimate regression equations.
FEATURES:- Integration of econometrics methods with statistical foundations
- Worked examples of all models considered in the text
- Includes Excel datasheets to facilitate estimation and application of models
- Features instructor ancillaries for use as a textbook
EXTRA 10 % discount with code: EXTRA
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The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: PAUL TURNER
- Publisher: Mercury Learning and Information
- ISBN-10: 1683926609
- ISBN-13: 9781683926603
- Format: 18 x 23.1 x 2.3 cm, kieti viršeliai
- Language: English English
This book covers the econometric methods necessary for a practicing applied economist or data analyst. This requires both an understanding of statistical theory and how it is used in actual applications. Chapters 1 to 9 present the material concerned with basic statistical theory. Chapters 10 to 13 introduce a number of topics which form the basis of more advanced option modules, such as time series methods in applied econometrics. To get the most out of these topics, companion files include Excel datasets and 4-color figures. It includes pull down menus to graph the data, calculate sample statistics and estimate regression equations.
FEATURES:- Integration of econometrics methods with statistical foundations
- Worked examples of all models considered in the text
- Includes Excel datasheets to facilitate estimation and application of models
- Features instructor ancillaries for use as a textbook
Reviews