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