Introduction to Econometrics

Description

Combining the rigour of econometric theory with an accessible style, Dougherty's step by step explanations and relevant practical exercises ensure students develop an intuitive understanding of econometrics, and gain hands-on experience of the tools used in economic and financial forecasting.

• Provides substantial hands-on practical experience
• Mathematical demands on the student are kept to a minimum
• A revision section at the start of the text ensures that all students are confident in basic statistics before embarking on the econometrics material, where mathematical demands on the student are kept to a minimum
• Provides substantial hands-on practical experience in the form of regression exercises, including 50 exercises on the same dataset
• A suite of useful online resources, such as a student study guide to help with revision; PowerPoint slides to aid lecture preparation; extensive datasets; an instructor's manual; and a guide to using software, support teaching and learning

New to this edition

• All student examples and exercises have been updated with additional exercises included at the end of each chapter to maximise the opportunity for students to consolidate their learning.
• The book has been made more accessible to students by the addition of an opening outline at the start of each chapter; making sure that key results feature clearly in the index; and ensuring that the relevance of equations is always included.
• Further problem solving exercises have been added in line with feedback from reviewers that the text lacked these types of questions.
• Mathematical content has been kept to a minimum with only core equations included so that students without a mathematics background are not overwhelmed. An additional review chapter has also been included offering readers who have not studied A level Mathematics a grounding in the basics of statistics.
• In the latter chapters short sections have been included which introduce the meaning and application of more advanced topics. Further information sources have then been included to encourage able students to develop their learning independently.

About the Author(s)

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, Estimation and Inference
1:Simple Regression Analysis
2:Properties of the Regression Coefficients and Hypothesis Testing
3:Multiple Regression Analysis
4:Nonlinear Models and Transformations of Variables
5:Dummy Variables
6:Specification of Regression Variables
7:Heteroskedasticity
8:Stochastic Regressors and Measurement Errors
9:Simultaneous Equations Estimation
10:Binary Choice and Limited Dependent Variable 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

Reviews

Review from previous edition What sets this book apart is abundance of available online material... - Sunčica Vujić, University of Antwerp

This is an excellent text for introductory econometrics courses and this edition is even better, especially with the increase in figures and charts. - Dr Bruce Morley, University of Bath

Students of finance need to be comfortable with the econometric tools necessary to both grasp empirical work and undertake it. This text provides an excellent point of reference and constant companion in developing precisely that understanding. - Paul Stewart, University of Ulster

Excellent textbook, which I have adopted as required reading for my class. The explanations are very clear, and yet it is very concise and does not overwhelm students. - Thomas Chadefaux, Trinity College Dublin

Additional Resources

The book is supported by an Online Resource Centre designed to help students take their learning further.

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.