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Regression With Dummy Variables
Second Edition
- Melissa A. Hardy - Pennsylvania State University, USA
Volume:
93
April 2026 | 168 pages | SAGE Publications, Inc
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.
Series Editor Introduction
Preface
Acknowledgements
About the Authors
Chapter 1: Introduction
Chapter 2: Creating and Using Binary-Coded Dummy Variables
Chapter 3: Using Dummy Variables as Regressors
Chapter 4: Assessing Whether Relationships Differ by Group
Chapter 5: Specification, Significance, and Assumptions
Chapter 6: Alternative Coding Schemes for Dummy Variables
Conclusion
Notes
References
