Economists are regularly
confronted with results of quantitative economics research. Econometrics: Theory and
Applications with EViews provides a broad introduction to quantitative economic methods,
for example how models arise, their underlying assumptions and how estimates of
parameters or other economic quantities are computed.
The author combines
econometric theory with practice by demonstrating its use with the software
package EViews through extensive use of screen shots. The emphasis is on
understanding how to select the right method of analysis for a given situation, and how to
actually apply the theoretical methodology correctly.
The EViews software package
is available from 'Quantitive Micro Software'.
Written for any
undergraduate or postgraduate course in Econometrics.
Features
- A quantitative economic
research project is simulated in the case studies throughout various chapters using real
economic data, showing the reader how he/she can conduct their own econometric
research project and write a complete research paper
- Only relevant statistical
and mathematical theory is used to discuss principles helping minimise mathematics for
students.
- Numerous screenshots of
EViews windows have been included to clarify its use
- Full of examples, data and
exercises, with data-sets available to download from the book's website at
www.booksites.net/vogelvang
Table
of Contents
PART ONE: PREPARATORY WORK
1. Basic Concepts of econometric models
2. Description of the data sets and introduction to the cases
3. Basic concepts of EViews and starting the research project
PART TWO: THE REDUCED-FORM MODEL
4. Description of the reduced-form model
5. Testing the deterministic assumption
6. Testing the stochastic assumption and model stability
7. A collection of topics around the linear model
PART THREE: SPECIFIC STRUCTURAL MODELS
8. Estimation with more general disturbance-term assumptions
9. Models with endogenous explanatory variables
10. Simultaneous equation models
11. Qualitative dependent variables
PART FOUR: TIME-SERIES MODELS
12. Dynamic models, unit roots and co-integration
13. Distributed lag models
14. Univariate time-series models
REFERENCES
INDEX
362 pages