An Introduction to Applied
Econometrics
A Time Series Approach
Reviews:
'...I believe this is the kind of book that could be adopted by all undergraduates
that are taking courses involving econometrics....No text other than this one gives such
comprehensive coverage. This text has an excellent chance of filling a gap in the market
and quickly establishing itself as a main player.' - Steve Leybourne, Professor of
Econometrics, University of Nottingham
'An Introduction to Applied Econometrics is terrific.' - Tamer Kulaksizoglu
'This is a book with a
strong applied focus and stress on accessibility...Patterson shows a helpful ability to
explain things simply without compromising accuracy...the text is replete with references
to actual data and a hefty section is given over to detailed exploration of four
macroeconomic applications. The laudable aim is to bring the advances of the past 20 years
in time series econometrics to the attention of the prospective applied economist, and
this is an aim that it deserves to achieve.' - Ian Preston, Times Higher Educational
Supplement
'...a godsend! a portable
supervisor...this has filled a much needed void.' - student, Bristol University
'I've finally found the
book I need, like a long lost friend.' - Harry Kerwin, student at the University of
Malta
'It is an impressive book
and I plan to use it in a course in Applied Econometrics.' - Professor D.N. Gujarati,
Professor of Econometrics, West Point Military Academy
'It is well written and
very user friendly. Many people attempting to come to terms with econometrics find the
extensive use of matrix algebra in so called 'introductory texts' very difficult so that
to find modern econometrics taught in such an accessible format should make your text a
winner.' - Dr John C.B. Cooper, Glasgow Caledonian University
'...Patterson writes in a
persuasive, clear and authoritative style which will appeal widely to students. A
particular strength of the book is its clear exposition of the most modern of techniques,
backed up with solid and relatively practical discussions of applications...I would
personally adopt this book.' - David Sapsford, Professor of Econometrics, Lancaster
University
Praise for the textbook
website to accompany this text:
'Great, a free economics
website with class!' - Liam Daley, Student, Cambridge University
Description:
This new text is designed to make modern econometric techniques accessible and
understandable to the non-specialist. It introduces and explains techniques that are now
widely used in applied work, although rarely introduced in any detail in introductory
level texts, such as integrated time series, cointegration, simulation analysis,
Johansen's Approach to multivariate co-integration and ARCH. The author explains the
central distinction between stationary and nonstationary time series, which is of crucial
importance in many areas of analysis, especially in macroeconomics and financial
economics.
Contents:
PART 1: FOUNDATIONS
Economics and Quantitative Economics
Some Preliminaries
An Introduction to Stationary and Non-Stationary Random Variables
PART 2: ESTIMATION AND SIMULATION
A Review of Estimation and Model Building: The Bivariate Case
Extending Estimation and Model Building to Several Regressors
An Introduction to Nonstationary Univariate Time Series Models
Developments of Nonstationary Univariate Time Series Models
Stationarity and Nonstationarity in Single Equation Regression Analysis
Endogeneity and the Fully Modified OLS Estimator
PART 3: APPLICATIONS
The Demand for Money
The Term Structure of Interest Rates
The Phillips Curve
The Exchange Rate and Purchasing Power Parity
PART 4: EXTENSIONS
Multivariate Models and Cointegration
Applications of Multivariate Models Involving Cointegration
Autoregressive Conditional Heteroscedasticity: Modelling Volatility
Author Biographies:
KERRY PATTERSON is Professor of Econometrics at the University of Reading. He was
previously Economist and Consultant Senior Economic Adviser at the Bank of England.
560 pages