HNBLOGIT: Stata module to estimate negative binomial-logit hurdle regression

Joseph Hilbe and James Hardin ()
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James Hardin: University of South Carolina

Statistical Software Components from Boston College Department of Economics

Abstract: hnblogit fits a negative binomial-logit maximum-likelihood hurdle model of depvar on indepvars, where depvar is a non-negative count variable.

Language: Stata
Requires: Stata version 9.1
Keywords: hurdle; negative binomial; logit (search for similar items in EconPapers)
Date: 2005-10-07, Revised 2018-03-25
Note: This module should be installed from within Stata by typing "ssc install hnblogit". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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http://fmwww.bc.edu/repec/bocode/h/hnblogit.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/j/jhnb_logit_ll.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/h/hnblogit.hlp help file (text/plain)

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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s456401

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