Chapter Contents
Chapter Contents
Previous
Previous
Next
Next
The TSCSREG Procedure

Functional Summary

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

Description Statement Option
Data Set Options   
specify the input data setTSCSREGDATA=
write parameter estimates to an output data setTSCSREGOUTEST=
include correlations in the OUTEST= data setTSCSREGCORROUT
include covariances in the OUTEST= data setTSCSREGCOVOUT
specify number of time series observationsTSCSREGTS=
specify number of cross sectionsTSCSREGCS=
   
Declaring the Role of Variables   
specify BY-group processingBY 
specify the cross section and time ID variablesID 
   
Printing Control Options   
print correlations of the estimatesMODELCORRB
print covariances of the estimatesMODELCOVB
suppress printed outputMODELNOPRINT
perform tests of linear hypothesesTEST 
   
Model Estimation Options   
specify the one-way fixed effects modelMODELFIXONE
specify the two-way fixed effects modelMODELFIXTWO
specify the one-way random effects modelMODELRANONE
specify the one-way random effects modelMODELRANTWO
specify Fuller-Battese methodMODELFULLER
specify PARKSMODELPARKS
specify Da Silva methodMODELDASILVA
specify order of the moving average error process for Da Silva methodMODELM=
print {\Phi} matrix for Parks methodMODELPHI
print autocorrelation coefficients for Parks methodMODELRHO
suppress the intercept termMODELNOINT
control check for singularityMODELSINGULAR=

Chapter Contents
Chapter Contents
Previous
Previous
Next
Next
Top
Top

Copyright © 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.