Regression Models : Censored, Sample Selected, or Truncated Data Paperback / softback
by Richard Breen
Part of the Quantitative Applications in the Social Sciences series
Paperback / softback
Description
What techniques can social scientists use when an outcome variable for a sample (for example, y) is not representative of the population for which generalized results are preferred?
Author Richard Breen provides an introduction to regression models for such data, including censored, sample-selected, and truncated data.
Regression Models begins with a discussion of the Tobit model and examines issues such as maximum likelihood estimation and the interpretation of parameters.
The author next discusses the basic sample selection model and the truncated regression model.
Elaborating on the modeling of censored and sample-selected data via maximum likelihood, he shows the close links between the models introduced and other regression models for non-continuous dependent variables, such as the ordered probit.
Concluding with an exploration of some of the criticisms of these approaches and difficulties associated with them, this volume gives readers a guide to the practical utility of these models.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:88 pages
- Publisher:SAGE Publications Inc
- Publication Date:29/02/1996
- Category:
- ISBN:9780803957107
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:88 pages
- Publisher:SAGE Publications Inc
- Publication Date:29/02/1996
- Category:
- ISBN:9780803957107
