- Häftad (Paperback / softback)
- Antal sidor
- 4 ed
- Bloomsbury Academic
- XXX, 536 p.
- 257 x 196 x 28 mm
- Antal komponenter
- 1 Paperback / softback
- 1044 g
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48 Laws of Power
This trusted textbook returns in its 4th edition with even more exercises to help consolidate understanding - and a companion website featuring additional materials, including a solutions manual for instructors. Offering a unique blend of theory and practical application, it provides ideal preparation for doing applied econometric work as it takes students from a basic level up to an advanced understanding in an intuitive, step-by-step fashion. Clear presentation of economic tests and methods of estimation is paired with practical guidance on using several types of software packages. Using real world data throughout, the authors place emphasis upon the interpretation of results, and the conclusions to be drawn from them in econometric work. This book will be essential reading for economics undergraduate and master's students taking a course in applied econometrics. Its practical nature makes it ideal for modules requiring a research project. New to this Edition: - Additional practical exercises throughout to help consolidate understanding - A freshly-updated companion website featuring a new solutions manual for instructors
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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.
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.