Introduction to Econometrics
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Product details:
- Edition number 3
- Publisher Oxford University Press
- Date of Publication 23 November 2006
- ISBN 9780199280964
- Binding Paperback
- No. of pages480 pages
- Size 245x188x26 mm
- Weight 863 g
- Language English
- Illustrations numerous tables and line drawings 0
Categories
Short description:
Introduction to Econometrics provides students with a simple mathematics notation and step-by step explanations of mathematical proofs to facilitate a thorough understanding of the subject. Extensive exercises throughout encourage students to apply the techniques, thus gaining confidence in what they have learnt.
MoreLong description:
Introduction to Econometrics provides students with a simple mathematics notation and step-by step explanations of mathematical proofs to facilitate a thorough understanding of the subject. Extensive exercises throughout encourage students to apply the techniques, thus gaining confidence in what they have learnt.
A complete teaching and learning package, this text is accompanied by an Online Resource Centre featuring resources for lectures and students such as a student guide, PowerPoint slides, instructors manual, additional exercises, and links to cross-section and time series data sets.
To reflect the student-friendly approach, the text design has been made even easier for students to learn from and the text is now in two colour.
There is also a new chapter on Panel Data.
Table of Contents:
Review: random variables, sampling, and estimation
Simple regression analysis
Properties of regression coefficients and hypothesis testing
Multiple regression analysis
Transformation of variables
Dummy variables
Specification regression variables: a preliinary skirmish
Heteroscedasticity
Stochastic regressors and measurement errors
Simultaneous Equations Estimation
Binary Choice Models and Maximum Likelihood Estimation
Models Using Time Series Data
Properties of Regression Models with Time Series Data
Introduction to Nonstationary Time Series
Introduction to Panel Data Models
