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

Author

Listed:
  • Jesper Sorensen

    (University of Chicago)

Programming Language

Stata

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.

Suggested Citation

  • Jesper Sorensen, 1998. "ZINB: Stata module to estimate zero inflated negative binomial model on count data," Statistical Software Components S354002, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s354002
    as

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    File URL: http://fmwww.bc.edu/repec/bocode/z/zinb.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/z/zinb_ll.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/z/zinb.hlp
    File Function: help file
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    File URL: http://fmwww.bc.edu/repec/bocode/z/zippred.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/z/zippred.hlp
    File Function: help file
    Download Restriction: no
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    Keywords

    Stata;

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