The TCOUNTREG Procedure (Experimental)

Functional Summary

Table 30.1 summarizes statements and options used with the TCOUNTREG procedure.

Table 30.1: TCOUNTREG Functional Summary

Description	Statement	Option
Data Set Options
Specifies the input data set	TCOUNTREG	DATA=
Writes parameter estimates to an output data set	TCOUNTREG	OUTEST=
Requests that the procedure produce graphics via the Output Delivery System	TCOUNTREG	PLOTS=
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
Specifies the ID variable for panel data analysis	ID
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	TCOUNTREG	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	TCOUNTREG	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	TCOUNTREG	DIST=
Specifies the type of covariance matrix	MODEL	COVEST=
Specifies the type of error components model for panel data	MODEL	ERRORCOMP=
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=
Specifies variable selection	MODEL	SELECT=( )
Output Control Options
Includes covariances in the OUTEST= data set	TCOUNTREG	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 the response variable taking a zero value as a result of the zero-generating process	OUTPUT	PROBZERO=