The CPANEL Procedure

Functional Summary

Table 9.1 summarizes the statements and options that the CPANEL procedure supports.

Table 9.1: Functional Summary

Description

Statement

Option

Data Set Options

  

Specifies the input data set

PROC CPANEL

DATA=

Prevents partitioning of data by cross sections

PROC CPANEL

NOPART

Specifies the name of an output SAS data table

OUTPUT

OUT=

Variable Role Statements

  

Specifies BY-group processing

BY

 

Specifies the classification variables

CLASS

 

Specifies the cross section and time ID variables

ID

 

Declares correlated variables or effects

CORRELATED

 

Declares endogenous variables or effects

ENDOGENOUS

 

Declares instrumental variables or effects

INSTRUMENTS

 

Declares predetermined variables or effects

PREDETERMINED

 

Printing Control Options

  

Specifies the ODS tables to display

DISPLAY

 

Specifies the ODS tables to save as CAS output tables

DISPLAYOUT

 

Prints correlations of the estimates

MODEL

CORRB

Prints covariances of the estimates

MODEL

COVB

Suppress parameter labels from output tables

MODEL

NOLABEL

Suppresses printed output

PROC CPANEL

NOPRINT

Prints all available output

PROC CPANEL

PRINTALL

Prints fixed effects

MODEL

PRINTFIXED

Model Estimation Technique Options

  

Specifies the Amemiya-MaCurdy model

MODEL

AMACURDY

Specifies the between-groups model

MODEL

BTWNG

Specifies the dynamic panel model via first-differencing GMM

MODEL

DYNDIFF

Specifies the dynamic panel model via system GMM

MODEL

DYNSYS

Specifies the one-way fixed-effects model via first-differencing

MODEL

FDONE

Specifies the one-way fixed-effects model

MODEL

FIXONE

Specifies the two-way fixed-effects model

MODEL

FIXTWO

Specifies the Hausman-Taylor model

MODEL

HTAYLOR

Specifies the between-groups model with instrumental variables

MODEL

IVBTWNG

Specifies the one-way fixed-effects model with instrumental variables

MODEL

IVFIXONE

Specifies the pooled regression model with instrumental variables

MODEL

IVPOOLED

Specifies the one-way random-effects model with instrumental variables

MODEL

IVRANONE

Specifies the pooled regression model

MODEL

POOLED

Specifies the one-way random-effects model

MODEL

RANONE

Specifies the two-way random-effects model

MODEL

RANTWO

Model Estimation Control Options

  

Sets the number of AR(m) tests

MODEL

ARTESTS=

Specifies bias-corrected variances for two-step GMM

MODEL

BIASCORRECTED

Sets the number of dependent variable lags

MODEL

DLAGS=

Specifies the generalized inverse type

MODEL

GINV=

Specifies one-step or two-step GMM

MODEL

GMM=

Limits the number of GMM instruments

MODEL

MAXBAND=

Suppresses the intercept term

MODEL

NOINT

Specifies robust variances for GMM

MODEL

ROBUST

Specifies the method for the variance components estimator

MODEL

VCOMP=

Tests and Restrictions

  

Specifies linear equality restrictions on the parameters

RESTRICT

 

Performs tests of linear hypotheses

TEST

WALD, LM, LR

Model Comparison Statements

  

Create tables that display side-by-side model comparisons

COMPARE

 


Last updated: June 14, 2018