Introductory Econometrics A MODERN APPROACH
The author has organized the book's presentation around the type of data being analyzed with a systematic approach that only introduces assumptions as they are needed. This makes the material easier to understand and, ultimately, leads to better econometric practices. Packed with relevant appli...
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Main Author: | |
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Format: | Book |
Language: | English |
Published: |
Boston, MA
Cengage Learning
2020
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Edition: | Seventh Edition |
Subjects: | |
Online Access: | Click Here to View Status and Holdings. |
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Table of Contents:
- The nature of econometrics and economic date
- Regression analysis with cross-sectional data. The simple regression model ; Multiple regression analysis : estimation ; Multiple regression analysis : inference ; Multiple regression analysis : OLS asymptotics ; Multiple regression analysis: further issues ; Multiple regression analysis with qualitative information ; Heteroskedasticity ; More on specification and data issues
- Regression analysis with time series data. Basic regression analysis with time series data ; Further issues in using OLS with time series data ; Serial correlation and heteroskedasticity in time series regressions
- Advances topics. Pooling cross sections across time : simple panel data methods ; Advanced panel data methods ; Instrumental variables estimation and two-stage least squares ; Simultaneous equations models ; Limited dependent variable models and sample selection corrections ; Advanced time series topics ; Carrying out an empirical project
- Math refresher A, basic mathematical tools
- Math refresher B, fundamentals of probability
- Math refresher C, fundamentals of mathematical statistics
- Advanced treatment D, summary of matrix algebra
- Advanced treatment D, the linear regression model in matrix form