The COUNTREG Procedure

Functional Summary

Table 11.1 summarizes statements and options used with the COUNTREG procedure.

Table 11.1: COUNTREG Functional Summary

Description	Statement	Option
Data Set Options
Specifies the input data set	COUNTREG	DATA=
Writes parameter estimates to an output data set	COUNTREG	OUTEST=
Writes estimates of $\mathbf{x}_{i}’\bbeta$ and $\mathbf{z}_{i}’\bgamma$ to an output data set	OUTPUT	OUT=
Declaring the Role of Variables
Specifies BY-group processing	BY
Specifies classification variables	CLASS
Specifies a frequency variable	FREQ
Specifies a weight variable	WEIGHT
Printing Control Options
Prints the correlation matrix of the estimates	MODEL	CORRB
Prints the covariance matrix of the estimates	MODEL	COVB
Prints a summary iteration listing	MODEL	ITPRINT
Suppresses the normal printed output	COUNTREG	NOPRINT
Requests all printing options	MODEL	PRINTALL
Options to Control the Optimization Process
Specifies maximum number of iterations allowed	MODEL	MAXITER=
Selects the iterative minimization method to use	COUNTREG	METHOD=
Sets boundary restrictions on parameters	BOUNDS
Sets initial values for parameters	INIT
Sets linear restrictions on parameters	RESTRICT
Specifies the optimization options	NLOPTIONS	See Chapter 6: Nonlinear Optimization Methods,
Model Estimation Options
Specifies the type of model	MODEL	DIST=
Specifies the type of model	COUNTREG	DIST=
Specifies variable selection	MODEL	SELECTVAR=( )
Specifies the type of covariance matrix	MODEL	COVEST=
Suppresses the intercept parameter	MODEL	NOINT
Specifies the offset variable	MODEL	OFFSET=
Specifies the zero-inflated offset variable	ZEROMODEL	OFFSET=
Specifies the zero-inflated link function	ZEROMODEL	LINK=
Output Control Options
Includes covariances in the OUTEST= data set	COUNTREG	COVOUT
Outputs the probability of response variable taking the current value	OUTPUT	PROB=
Outputs probabilities for particular response values	OUTPUT	PROBCOUNT()
Outputs expected value of response variable	OUTPUT	PRED=
Outputs estimates of XBeta $=\mathbf{x}_{i}’\bbeta$	OUTPUT	XBETA=
Outputs estimates of ZGamma $=\mathbf{z}_{i}’\bgamma$	OUTPUT	ZGAMMA=
Outputs the probability of response variable taking a zero value as a result of the zero-generating process	OUTPUT	PROBZERO=