Regression Models for Categorical and Limited Dependent Variables[Hardcover,1997]

Advanced Quantitative Techniques in the Social Sciences #7

by J. Scott Long

Regression Models for Categorical and Limited Dependent Variables{Hardcover,1997}

Genres: Sociology

Unknown Binding

First published January 9, 1997

Reviews

[Christophe Van · Rating 5 out of 5]

I think this textbook is an excellent introduction to a large set of models for binary, multinominal, count, duration, and censored or truncated data. It is excellent for a survey course on such models or as an introduction to generalized linear modeling tools. The level is that of a second-semester or second-year graduate student in social sciences (sociology, demography, psychology, communications, marketing and management, etc.) who already knows linear regression. For that audience, the book strikes a very good balance of rigor and relevance.

The book is not technical enough to be used in graduate econometrics courses. But I expect the book being very useful as a textbook in advanced undergraduate econometrics courses or as additional reading to graduate economics students trying to get a more practical understanding of how and when to use these models and how to interpret the estimates.

[Siddharth P K · Rating 5 out of 5]

A good primer to get an understanding of the CLDV Regression Models with tonnes of references for further reading and a very intuitive tone.

[Lin · Rating 5 out of 5]

A classic on categorical and limited DV.