Regression Models for Categorical and Limited Dependent Variables
- ISBN-10
- 0803973748
- ISBN-13
- 9780803973749
- Category
- Mathematics
- Pages
- 297
- Language
- English
- Published
- 1997-01-09
- Publisher
- SAGE
- Author
- J. Scott Long
Description
The linear regression model is the most commonly used statistical method in the social sciences. This book considers regression models that are appropriate when the dependent variable is censored, truncated, binary, ordinal, nominal, or count. I refer to these variables as categorical and limited dependent variables (hereafter CLDVs). Until recently, the greatest obstacle in using models for CLDVs was the lack of software that was flexible, stable, and easy to use. This limitation no longer applies since these models can be estimated routinely with standard software. Now, the greatest impediment is the complexity of the models and the difficulty in interpreting the results. The difficulties arise because most models for CLDVs are nonlinear.
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