Regression With Dummy Variables (Quantitative Applications in the Social Sciences)

Regression analysis is one of the most flexible and widely used techniques of quantitative analysis and dummy variables have been central to the growing flexibility and complexity of statistical models. This thoroughly updated Second Edition combines presentation of the principles behind the use of dummy variables, application of these lessons using an extract from the American Community Survey, and visualization of the results. Melissa Hardy helps readers understand the basic distributional properties of dummy variables and how they can be used to interpret their data.