Dimitrios Asteriou is Research Lead in Economics, Finance and Accounting at Oxford Brookes University. He completed his PhD in Economics at City University and he holds both an MSc and a BSc in Economics from the University of Macedonia, Greece. His research interests lie in the area of applied economics, with a focus on economic growth, financial econometrics and the econometrics of panel data. He has published more than 60 research papers in peer-reviewed journals.
Stephen G. Hall is Head of Division and Professor of Economics at Leicester University and Visiting Professor at Pretoria University. He has worked extensively in the areas of econometrics and macro economic modelling. He began his career at the National Institute of Economic and Social Research, London, where he worked on the development of the UK model and a range of methodological and econometric issues. He then moved to the Bank of England as an Economic Advisor for 4 years where he continued working in the area of econometrics and modelling. He then became Director of Research and Professorial Fellow at the Centre for Economic Forecasting at London Business School where he was in charge of the development of the LBS UK model. He then moved to be Professor of Economics at Imperial College, London, and in 2005 he took up his current post. He has published 6 books, and over 250 articles on economic modelling, applied econometrics and forecasting. His editorial and other activities include being, editor of Economic Modelling, an executive Committee member of the United Nations Project Link and on the editorial board of a number of journals. He holds an honorary doctorate from the University of Pretoria, South Africa, and is a fellow of the African Econometric Society and an honorary member of the Romanian Academy of Science.

• Student-friendly, applied, step-by-step approach
• Keeps theory to a minimum and focuses on how to analyze data
• Packed with applications and examples
• An invaluable guide to conducting empirical research projects

PART I: STATISTICAL BACKGROUND AND BASIC DATA HANDLING
1. Fundamental Concepts
2. The Structure Of Economic Data and Basic Data Handling
PART II: THE CLASSICAL LINEAR REGRESSION MODEL
3. Simple Regression
4. Multiple Regression
PART III: VIOLATING THE ASSUMPTIONS OF THE CLRM
5. Multicollinearity
6. Heteroskedasticity
7. Autocorrelation
8. Misspecification: Wrong Regressors, Measurement Errors And Wrong Functional Forms
PART IV: TOPICS IN ECONOMETRICS
9. Dummy Variables
10. Dynamic Econometric Models
11. Simultaneous Equation Models
12. Limited Dependent Variable Regression Models
PART V: TIME SERIES ECONOMETRICS
13. ARIMA Models And The Box-Jenkins Methodology
14. Modelling The Variance: ARCH-GARCH Models
15. Vector Autoregressive(VAR) Models And Causality Tests
16. Non-Stationarity and Unit Root Tests
17. Cointegration and Error-Correction Models
18. Identification In Standard and Cointegrated Systems
19. Solving Models
20. Time Varying Coefficient Models: A New Way of Estimating Bias Free Parameters
PART VI: PANEL DATA ECONOMETRICS
21. Traditional Panel Data Models
22. Dynamic Heterogeneous Panels
23. Non-Stationary Panels
PART VII: USING ECONOMETRIC SOFTWARE
24. Practicalities in Using Eviews and Stata.