Introduction to Econometrics

• 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 extensive datasets, an instructor's manual and a guide to using software, support teaching and learning.

New to this edition

• The review section at the start of the text has been expanded to provide an even more comprehensive revision guide for all the statistical concepts needed to study econometrics.
• The free econometrics software application, gretl, has been incorporated into this edition so that students without access to commercial applications can carry out econometric analysis using software.
• There are an increased number of exercises, providing students with even more opportunities to put the theory into practice.
• The use of Monte Carlo simulations has been increased in this new edition (as have graphics in general) to illustrate the analysis and to help students understand the maths by visualising it.
• A new final section has been added in each chapter to provide a summary of the chapter content and to introduce a brief non-technical overview of advanced topics.

Readership: Undergraduate students on economics degrees or on non-specialist economics masters courses, also students on finance degrees.

Christopher Dougherty, Senior Lecturer in Economics, London School of Economics

Dr Christopher Dougherty is a Senior Lecturer in Economics at the London School of Economics.

Review(s) from previous edition

"It is the best introductory text for undergraduates on the market in my opinion. - Bruce Morley, Bath University

"I highly recommend this book to any students who first plan to take introductory economic courses. The study guide, box examples, and well-balanced theory and empirical questions set this book apart from other books. " - Dr. Jong H. Kim, American University of Sharjah

"The main advantage of this book is its clarity and user-friendliness. " - Paul Turner, University of Loughborough

"I have described it to colleagues and students as one of the best textbooks ever written. I recommend no other book to my econometrics class. " - Richard Walker, Northwestern University, USA

"An approach that is theoretically rigorous, but also non-mathematical, sets this textbook apart from many other introductory texts. " - John Goddard, Bangor Business School

1: Simple regression analysis
2: Properties of regression coefficients and hypothesis testing
3: Multiple regression analysis
4: Transformation of variables
5: Dummy variables
6: Specification regression variables: a preliinary skirmish
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