Introduction
Review: Random Variables, Sampling, and Estimation
1. Simple Regression Analysis
2. Properties of Regression Coefficients and Hypothesis Testing
3. Multiple Regression Analysis
4. Nonlinear Models and Transformations of Variables
5. Dummy Variables
6.
Specification of Regression Variables
7. Heteroskedasticity
8. Stochastic Regressors and Measurement Errors
9. Simultaneous Equations Estimation
10. Binary Choice and Limited Dependent Variable Models, and Maximum Likelihood Estimation
11. Models Using Time Series Data
12.
Autocorrelation
13. Introduction to Nonstationary Time Series
14. Introduction to Panel Data Model
Companion Site
Instructor's Resources:
Instructor's Manual:
- Text exercises and solutions
- Data sets
- Graphs from the book
PowerPoint slides
Student Resources:
Student Study Guide:
- Exercises
- Data sets referred to in the book
- Ask
the Author forum
- Software Manual
- Excel tutorial
- Maple tutorial
- Further exercises with answers
- Expanded solutions to progress exercises
Dr Christopher Dougherty is an Associate Professor in Economics at the London School of Economics.
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