Introductory econometrics : a modern approach /
Wooldridge uses a systematic approach motivated by the major problems facing applied researchers. This text provides important understanding for empirical work in many social sciences, as well as for carrying out research projects.
| Основен автор: | Wooldridge, Jeffrey M., 1960- |
|---|---|
| Формат: | Книга |
| Език: | English |
| Публикувано: |
Mason, OH :
South-Western Cengage Learning,
©2013.
|
| Издание: | 5th ed. |
| Предмети: | |
| Онлайн достъп: |
Table of contents Contributor biographical information Publisher description |
Съдържание:
- Ch. 1.
- The nature of econometrics and economic data
- pt. 1.
- Regression analysis with cross-sectional data
- Ch. 2.
- The simple regression model
- Ch. 3.
- Mutiple regression analysis: estimation
- Ch. 4.
- Mutiple regression analysis: inference
- Ch. 5.
- Mutiple regression analysis: OLS asymptotics
- Ch. 6.
- Mutiple regression analysis: further issues
- Ch. 7.
- Mutiple regression analysis with qualitative information: binary (or dummy) variables
- Ch. 8.
- Hetroskedasticity
- Ch. 9.
- More on specification and data issues
- pt. 2.
- Regression analysis with time series data
- Ch. 10.
- Basic regression analysis with time series data
- Ch. 11.
- Further issues in using OLS with time series data
- Ch. 12.
- Serial correlation and heteroskedasticity in time series regressions
- Ch. 13.
- Pooling cross sections across time: simple panel data methods
- Ch. 14.
- Advanced panel data methods
- Ch. 15.
- Instrumental variables estimation and two stage least squares
- Ch. 16.
- Simulatensous equations models
- Ch. 17.
- Limited dependent variable models and sample selection corrections
- Ch. 18.
- Advanced time series topics
- Ch. 19.
- Carrying out an empirical project
- Appendices.