9780199676828

Introduction to Econometrics

by
  • ISBN13:

    9780199676828

  • ISBN10:

    0199676828

  • Edition: 5th
  • Format: Paperback
  • Copyright: 6/28/2016
  • Publisher: Oxford University Press

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Supplemental Materials

What is included with this book?

  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
  • The Rental copy of this book is not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

Summary

Retaining the student-friendly approach of previous editions, Introduction to Econometrics, Fifth Edition, uses clear and simple mathematics notation and step-by step explanations of mathematical proofs to help students thoroughly grasp the subject. Extensive exercises throughout build students' confidence and provide them with hands-on practice in applying techniques.

The fifth edition features a comprehensive revision guide to all the essential statistical concepts needed to study econometrics, additional Monte Carlo simulations, new summaries, and non-technical introductions to more advanced topics at the end of chapters.

This book is supported by an Online Resource Centre, which includes:

For lecturers:

* Instructor's manual for the text and data sets, detailing the exercises and their solutions
* Customizable PowerPoint slides

For students:

* Data sets referred to in the book
* A comprehensive study guide offers students the opportunity to gain experience with econometrics through practice with exercises
* Software manual
* PowerPoint slides with explanations

Author Biography


Christopher Dougherty, Associate Professor in Economics at the London School of Economics

Dr Christopher Dougherty is an Associate Professor in Economics at the London School of Economics.

Table of Contents


Introduction
Review: Random Variables, Sampling, and Estimation
1. Simple Regression Analysis
2. Properties of Regression Coefficients and Hypothesis Testing
3. Multiple Regression Analysis
4. Transformations of Variables
5. Dummy Variables
6. Specification of Regression Variables
7. Heteroscedasticity
8. Stochastic Regressors and Measurement Errors
9. Simultaneous Equations Estimation
10. Binary Choice Models and Maximum Likelihood Estimation
11. Models Using Time Series Data
12. Autocorrelation
13. Introduction to Nonstationary Time Series
14. Introduction to Panel Data Models

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