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Ordered Regression Models
book

Ordered Regression Models

by Andrew S. Fullerton, Jun Xu
April 2016
Intermediate to advanced content levelIntermediate to advanced
188 pages
7h 28m
English
Chapman and Hall/CRC
Content preview from Ordered Regression Models
75Partial Models
constrained to vary by a common factor between the rst and second cutpoint equations. We
assume that φ
1
= 1 and φ
3
= 0 in order to identify the models. This only saves one parameter, but
it may be a useful constraint because the coefcients for Democrat and Independent display
very similar patterns in the unconstrained partial models. Thecoefcients are 65% weaker
in the second cutpoint equation in the logit model and 69% weaker in the probit model. The
results for the remaining variables are very similar to the unconstrained partial model results.
In order to further examine the substantive signicance of these relationsh
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Publisher Resources

ISBN: 9781466569744