Thanks to Kit Baum an update of the -seqlogit- package is now available
on SSC. The main change is that in this update I simplified the syntax
of the -seqlogitdecomp- command.
seqlogit fits a sequential logit model. This model estimates the
effect of the explanatory variables on the probabilities of
passing a set of transitions. For example, given a highest
achieved level of education the researcher studies the effect of
socio-economic status on the probabilities of passing the
different transitions between levels of education. The user can
specify any decision tree as long as each level of the dependent
variable (e.g. level of education) can be reached through one and
only one sequence of transitions. If these levels have values
(e.g. years of education) than this model also implies an effect
of the explanatory variable on the highest achieved level. The
program seqlogitdecomp, which is part of the seqlogit package,
displays a graph that decomposes this effect on the highest
achieved level into parts that measure the effect on the
probabilities of passing the transitions and the importance of
each transition.
-- Maarten
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Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands
visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434
+31 20 5986715
http://home.fsw.vu.nl/m.buis/
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