Logit and probit : binary and multinomial choice models / by Andrew S. Fullerton ; edited by Paul Atkinson, Sara Delamont, Alexandru Cernat, Joseph W. Sakshaug & Richard A. Williams.

Logit and probit are regression models for binary outcomes that allow one to avoid the problems associated with the linear probability model, such as nonconstant error variance and the unrealistic assumption of linearity in the parameters. Logit and probit also serve as building blocks for more adva...

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Bibliographic Details

Online Access:	Full Text (via SAGE)
Main Author:	Fullerton, Andrew S. (Author)
Other Authors:	Atkinson, Paul, 1947- (Editor), Delamont, Sara, 1947- (Editor), Cernat, Alexandru (Editor), Sakshaug, Joseph W. (Editor), Williams, Richard A., active 2020 (Editor)
Format:	Electronic eBook
Language:	English
Published:	London : SAGE Publications Ltd., 2020.
Subjects:	Sociology. Economics. Political Science and International Relations. Economics Sociology