PROC TSCSREG: Functional Summary :: SAS/ETS(R) 9.22 User's Guide

The TSCSREG Procedure

Functional Summary

The statements and options used with the TSCSREG procedure are summarized in the following table.

Table 30.1 Functional Summary

Description	Statement	Option

Data Set Options
specify the input data set	TSCSREG	DATA=
write parameter estimates to an output data set	TSCSREG	OUTEST=
include correlations in the OUTEST= data set	TSCSREG	CORROUT
include covariances in the OUTEST= data set	TSCSREG	COVOUT
specify number of time series observations	TSCSREG	TS=
specify number of cross sections	TSCSREG	CS=
Declaring the Role of Variables
specify BY-group processing	BY
specify the cross section and time ID variables	ID
Printing Control Options
print correlations of the estimates	MODEL	CORRB
print covariances of the estimates	MODEL	COVB
suppress printed output	MODEL	NOPRINT
perform tests of linear hypotheses	TEST
Model Estimation Options
specify the one-way fixed-effects model	MODEL	FIXONE
specify the two-way fixed-effects model	MODEL	FIXTWO
specify the one-way random-effects model	MODEL	RANONE
specify the two-way random-effects model	MODEL	RANTWO
specify Fuller-Battese method	MODEL	FULLER
specify PARKS	MODEL	PARKS
specify Da Silva method	MODEL	DASILVA
specify order of the moving-average error process for Da Silva method	MODEL	M=
print $\text{[math]}$ matrix for Parks method	MODEL	PHI
print autocorrelation coefficients for Parks method	MODEL	RHO
suppress the intercept term	MODEL	NOINT
control check for singularity	MODEL	SINGULAR=