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=