CNBREG: Stata module to estimate negative binomial regression - canonical parameterization

Joseph Hilbe

Statistical Software Components from Boston College Department of Economics

Abstract: cnbreg fits a maximum-likelihood negative binomial regression model, with canonical parameterization, of depvar on indepvars, where depvar is a non-negative count variable. cnbreg acccepts all of the maximize options, the constraint() option, and all survey options and capabilities documented in [SVY]; including multi-level surveys; poststratification; and BRR, jackknife, and linearization VCE estimators.

Language: Stata
Requires: Stata version 9.1
Keywords: negative binomial regression; maximum likelihood; count data (search for similar items in EconPapers)
Date: 2005-10-27, Revised 2009-02-24
Note: This module should be installed from within Stata by typing "ssc install cnbreg". 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/c/cnbreg.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/j/jcnb_ll.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/c/cnbreg.hlp help file (text/plain)

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