The statements and options used with the PANEL procedure are summarized in the following table.
Description 
Statement 
Option 

Data Set Options 

Includes correlations in the OUTEST= data set 
PANEL 
CORROUT 
Includes covariances in the OUTEST= data set 
PANEL 
COVOUT 
Specifies the input data set 
PANEL 
DATA= 
Specifies variables to keep but not transform 
FLATDATA 
KEEP= 
Specifies the output data set for CLASS STATEMENT 
CLASS 
OUT = 
Specifies the output data set 
FLATDATA 
OUT = 
Specifies the name of an output SAS data set 
OUTPUT 
OUT= 
Writes parameter estimates to an output data set 
PANEL 
OUTEST= 
Writes the transformed series to an output data set 
PANEL 
OUTTRANS= 
Requests that the procedure produce graphics via the Output Delivery System 
PANEL 
PLOTS= 
Declaring the Role of Variables 

Specifies BYgroup processing 
BY 

Specifies the classification variables 
CLASS 

Transfers the data into uncompressed form 
FLATDATA 

Specifies the cross section and time ID variables 
ID 

Declares instrumental variables 
INSTRUMENTS 

Lag Generation 

Specifies output data set for lags where missing values are replaced with the cross section mean 
CLAG 
OUT= 
Specifies output data set for lags with missing values included 
LAG 
OUT= 
Specifies output data set for lags where missing values are replaced with the time period mean 
SLAG 
OUT= 
Specifies output data set for lags where missing values are replaced with overall mean 
XLAG 
OUT= 
Specifies output data set for lags where missing values are replaced with zero 
ZLAG 
OUT= 
Printing Control Options 

Prints correlations of the estimates 
MODEL 
CORRB 
Prints covariances of the estimates 
MODEL 
COVB 
Suppresses printed output 
MODEL 
NOPRINT 
Requests that the procedure produce graphics via the Output Delivery System 
MODEL 
PLOTS= 
Prints fixed effects 
MODEL 
PRINTFIXED 
Performs tests of linear hypotheses 
TEST 

Model Estimation Options 

Requests the R statistic for serial correlation under fixed effects 
MODEL 
BFN 
Requests the Baltagi and Li joint Lagrange multiplier (LM) test for serial correlation and random crosssectional effects 
MODEL 
BL91 
Requests the Baltagi and Li LM test for firstorder correlation under fixed effects 
MODEL 
BL95 
Requests the BreuschPagan test for oneway random effects 
MODEL 
BP 
Requests the BreuschPagan test for twoway random effects 
MODEL 
BP2 
Requests the Bera, Sosa Escudero, and Yoon modified Rao’s score test 
MODEL 
BSY 
Specifies the betweengroups model 
MODEL 
BTWNG 
Specifies the betweentimeperiods model 
MODEL 
BTWNT 
Requests the BerenblutWebb statistic for serial correlation under fixed effects 
MODEL 
BW 
Requests crosssectional dependence tests 
MODEL 
CDTEST 
Requests the clustered HCCME estimator for the covariance matrix 
MODEL 
CLUSTER 
Specifies the Da Silva method 
MODEL 
DASILVA 
Requests the DurbinWatson statistic for serial correlation under fixed effects 
MODEL 
DW 
Specifies the oneway fixedeffects model 
MODEL 
FIXONE 
Specifies the oneway fixedeffects model with respect to time 
MODEL 
FIXONETIME 
Specifies the twoway fixedeffects model 
MODEL 
FIXTWO 
Specifies the firstdifferenced methods for oneway models 
MODEL 
FDONE 
Specifies the firstdifferenced methods for oneway models with respect to time 
MODEL 
FDONETIME 
Specifies the firstdifferenced methods for twoway models 
MODEL 
FDTWO 
Specifies the MoorePenrose generalized inverse 
MODEL 
GINV = G4 
Requests the Gourieroux, Holly, and Monfort test for twoway random effects 
MODEL 
GHM 
Specifies the dynamic panel estimator model (onestep GMM) 
MODEL 
GMM1 
Specifies the dynamic panel estimator model (twostep GMM) 
MODEL 
GMM2 
Requests the HAC estimator for the variancecovariance matrix 
MODEL 
HAC= 
Requests the HCCME estimator for the covariance matrix 
MODEL 
HCCME= 
Requests the Honda test for oneway random effects 
MODEL 
HONDA 
Requests the Honda test for twoway random effects 
MODEL 
HONDA2 
Specifies the dynamic panel estimator model (iterated GMM) 
MODEL 
ITGMM 
Requests the King and Wu test for twoway random effects 
MODEL 
KW 
Specifies the order of the moving average error process for Da Silva method 
MODEL 
M= 
Suppresses the intercept term 
MODEL 
NOINT 
Specifies the Parks method 
MODEL 
PARKS 
Prints the matrix for Parks method 
MODEL 
PHI 
Specifies the pooled model 
MODEL 
POOLED 
Requests poolability tests for oneway fixed effects and pooled model 
MODEL 
POOLTEST 
Specifies the oneway randomeffects model 
MODEL 
RANONE 
Specifies the twoway randomeffects model 
MODEL 
RANTWO 
Prints autocorrelation coefficients for Parks method 
MODEL 
RHO 
Controls the check for singularity 
MODEL 
SINGULAR= 
Specifies the method for panel unit root/stationarity test 
MODEL 
UROOTTEST= 
Specifies the method for the variance components estimator 
MODEL 
VCOMP= 
Specifies linear equality restrictions on the parameters 
RESTRICT 

Specifies the TEST statement 
TEST 
WALD, LM, LR 
Requests the Wooldridge (2002) test for the presence of unobserved effects 
MODEL 
WOOLDRIDGE02 