SEQLOGIT: Stata module to fit a sequential logit model

This file is part of IDEAS, which uses RePEc data

SEQLOGIT: Stata module to fit a sequential logit model

Author Info

Maarten L. Buis () (Vrije Universiteit Amsterdam)

Additional information is available for the following registered author(s):

Maarten L. Buis

Abstract

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.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://fmwww.bc.edu/repec/bocode/s/seqlogit.ado
File Format: text/plain
File Function: program code
Download Restriction: no
File URL: http://fmwww.bc.edu/repec/bocode/s/seqlogit.hlp
File Format: text/plain
File Function: help file
Download Restriction: no
File URL: http://fmwww.bc.edu/repec/bocode/s/seqlogit_p.ado
File Format: text/plain
File Function: program code
Download Restriction: no
File URL: http://fmwww.bc.edu/repec/bocode/s/seqlogit_lf.ado
File Format: text/plain
File Function: program code
Download Restriction: no
File URL: http://fmwww.bc.edu/repec/bocode/s/seqlogitdecomp.ado
File Format: text/plain
File Function: program code
Download Restriction: no
File URL: http://fmwww.bc.edu/repec/bocode/s/seqlogit_postestimation.hlp
File Format: text/plain
File Function: help file
Download Restriction: no
File URL: http://fmwww.bc.edu/repec/bocode/s/seqlogit_example.do
File Format: text/plain
File Function: test run
Download Restriction: no
File URL: http://fmwww.bc.edu/repec/bocode/s/seqlogit_example.pdf
File Format: application/pdf
File Function: example output
Download Restriction: no
File URL: http://fmwww.bc.edu/repec/bocode/g/gss.dta
File Format: application/x-stata
File Function: example data file
Download Restriction: no

Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S456843.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Size:
Programming language: Stata
Requires: Stata version 9.2
Date of creation: 23 May 2007
Date of revision:
Handle: RePEc:boc:bocode:s456843

Note: This module may be installed from within Stata by typing "ssc install seqlogit". Windows users should not attempt to download these files with a web browser.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
Email:
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC

Order Information:
Web: http://repec.org/docs/ssc.php

For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).

Statistics
Access and download statistics

Did you know? RePEc encourages publishers to make their bibliographic data freely available to the public.

This page was last updated on 2008-5-9.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.