Practical Guide to Using Econometrics, A, Global Edition, 7th edition

Published by Pearson (January 19, 2017) © 2017

  • A H. Studenmund Occidental College

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For courses in Econometrics.

A Clear, Practical Introduction to 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 Seventh 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.

Using Econometrics: A Practical Guide includes the following features to facilitate learning:

A Simple, Practical, and Easy-to-understand Introduction to Econometrics

  • The book’s intuitive approach omits matrix algebra and relegates proofs and calculus to the footnotes or exercises to make core concepts easier to grasp.
  • An example-oriented approach helps students practice and understand applied economics.
  • NEW! Expanded econometric content includes new tests and procedures, such as the Breusch-Pagan test and the Weinstein-Prais Approach to Generalised Least Squares. Other expanded topics include the F-test, confidence intervals, the Language Multiplier test, and the Dickey-Fuller test. Notations and explanations have been simplified and clarified throughout, particularly in difficult topics like dynamic equations, dummy dependent variables, instrumental variables, and panel data.

Pedagogical Features Help Students Grasp Core Concepts

  • NEW! Economics Labs are innovative learning tools, located in the appendices, that give students hands-on opportunities to better understand economic principles both during and after class.
  • NEW! Stata, the economic software package of choice among economists, is used throughout the text. All text examples and exercises are estimated with Stata, and an explanation of the software is included in the appendix
  • Interactive Regression Learning Exercises help students simulate economic analysis by giving them feedback on various decisions without much computer time or instructor supervision.
  • UPDATED! Answers to exercises in the text have been tripled and can be found in the appendices, allowing students to learn on their own.

A Simple, Practical, and Easy-to-understand Introduction to Econometrics

  • Expanded econometric content includes new tests and procedures, such as the Breusch-Pagan test and the Weinstein-Prais Approach to Generalized Least Squares. Other expanded topics include the F-test, confidence intervals, the Language Multiplier test, and the Dickey-Fuller test. Notations and explanations have been simplified and clarified throughout, particularly in difficult topics like dynamic equations, dummy dependent variables, instrumental variables, and panel data.
Pedagogical Features Help Students Grasp Core Concepts
  • Economics Labs are innovative learning tools, located in the appendices, that give students hands-on opportunities to better understand economic principles both during and after class.
  • Stata, the economic software package of choice among economists, is used throughout the text. All text examples and exercises are estimated with Stata, and an explanation of the software is included in the appendix and on the website.
  • UPDATED! Answers to exercises in the text have been tripled and can be found in the appendices, allowing students to learn on their own.
  • UPDATED! PowerPoint Slides throughout the text have been dramatically improved to replicate each chapter’s main equations and examples, as well as provide chapter summaries and key concept lists.
  • UPDATED! The accompanying website is the text’s best version yet. It includes all of the text’s datasets in downloadable format, a guide to using Stata, improved PowerPoint slides, and answers to new econometrics labs.

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

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