ZINB: Stata module to estimate zero inflated negative binomial model on count data

Jesper Sorensen ()
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Jesper Sorensen: University of Chicago

Statistical Software Components from Boston College Department of Economics

Abstract: zinb estimates Zero Inflated Negative Binomial models on count data. This model allows for "excess zeros" in count models under the assumption that the population is characterized by two regimes, one where members always have zero counts, and one where members have zero or positive counts. The likelihood of being in either regime is estimated using a logit specification, while the counts in the second regime are estimated using a negative binomial specification. See Long (1997) Chapter 8 and Greene (1997) for a discussion. zippred will generate predicted counts (using the default xb option) or the predicted probability of different counts (using prob). zippred should be used instead of predict.

Language: Stata
Requires: Stata version 5.0
Date: 1998-09-01
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/z/zinb.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/z/zinb_ll.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/z/zinb.hlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/z/zippred.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/z/zippred.hlp help file (text/plain)

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