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help for ^prcounts^ - 11Mar2005
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Compute the predicted rate and probabilities for count models
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^prcounts^ varname [^if^ exp] [^in^ range] [^, m^ax^(^max^)^ ^p^lot]
Description
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^prcounts^ computes the predicted rate and probabilities of counts from 0
through the specified maximum count based on the last estimates from the
count models ^poisson^, ^nbreg^, ^zip^, ^zinb^. ^prcounts^ optionally generates
variables for the graphical comparison of observed and expected counts
for one model or for competing models.
For each observation ^prcounts^ computes the variables:
namerate = predicted count or rate
namepr^k^ = probability of a count of ^k^ for ^k^=0 to max
namecu^k^ = cumulative probabiliy of a count <=^k^ for ^k^=0 to max
For zip or zinb models, prcounts also generates:
namell0 = probability of being in the 'always zero' group
For ztp or ztnb models, prcounts also generates:
nameCrate = predicted count or rate conditional on y>0
nameCpr^k^ = probability of a count of ^k^ for ^k^=0 to max conditional
on y>0
nameCcu^k^ = cumulative probabiliy of a count <=^k^ for ^k^=0 to max
conditional on y>0
Options
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^max(^value^)^ The maximum count for which variables are generated.
value must be an integer between 0 and 99; the default is 9.
^plot^ causes Stata to generate extra variables that are useful for plotting.
The created variables will have values for the first max+1 rows of the
data set.
nameval = value of y
nameobeq = observed probability of counts = y
nameoble = cumulative observed probability of counts <= y
namepreq = predicted probability of counts = y
nameprle = predicted cumulative probability of counts <= y
For these variables, each observation provides information about the
probabilities of a given count for the entire sample. In other words, what
an observation consists of for these variables is different than for the rest
of the variables in one's dataset.
Note: the summary statistics computed by ^plot^ are automatically based on
the estimation sample, plus any further restrictions implied by the use of
^if^ or ^in^.
Examples
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. ^zinb art fem mar kid5 phd ment, inf(fem mar kid5 phd ment)^
. ^prcounts cnt^
. ^summarize cnt*^
To graphically compare predicted and observed counts for a model:
.^ poisson art fem mar kid5 phd ment^
.^ prcounts pois, max(8) plot^
.^ graph poispreq poisobeq poisval, c(ll)^
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Authors: J. Scott Long and Jeremy Freese
www.indiana.edu/~jsl650/spost.htm
spostsup@@indiana.edu