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Disponibilidad: En existencia
ISBN: 9781292154138
Precio sin IVA:
$ 151.000,00

Edición: 7
Copyright: 2017
Páginas: 696

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Using Econometrics: A Practical Guide: Global Edition (ebook)

By Bruce Johnson


For courses in Econometrics. Using Econometrics: A Practical Guide offers students an innovative introduction to elementary econometrics. Through real-world examples and exercises, the book covers the topic of single-equation linear regression analysis in an easily understandable format. The 7th Edition is appropriate for all levels: beginner econometric students, regression users seeking a refresher, and experienced practitioners who want a convenient reference. Praised as one of the most important texts in the last 30 years, the book retains its clarity and practicality in previous editions with a number of substantial improvements throughout. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Chapter 1: An Overview of Regression Analysis
Chapter 2: Ordinary Least Squares
Chapter 3: Learning to Use Regression Analysis
Chapter 4: The Classical Model
Chapter 5: Hypothesis Testing and Statistical Inference
Chapter 6: Specification: Choosing the Independent Variables
Chapter 7: Specification: Choosing a Functional Form
Chapter 8: Multicollinearity
Chapter 9: Serial Correlation
Chapter 10: Heteroskedasticity
Chapter 11: Running Your Own Regression Project
Chapter 12: Time-Series Models
Chapter 13: Dummy Dependent Variable Techniques
Chapter 14: Simultaneous Equations
Chapter 15: Forecasting
Chapter 16: Experimental and Panel Data