Regression models : censored, sample selected or truncated data /

"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-sel...

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Bibliographic Details
Main Author: Breen, Richard, 1954-
Format: Book
Language:English
Published: Thousand Oaks, Calif. : Sage Publications, ©1996
Series:Quantitative applications in the social sciences ; no. 07-111
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Summary:"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."--Publisher description
Physical Description:1 online resource (viii, 80 pages) : illustrations
Bibliography:Includes bibliographical references (pages 76-79)
ISBN:0585217106
0803957106
9780585217109
9780803957107