The QLIM Procedure
- Overview
-
Getting Started
-
Syntax
-
DetailsOrdinal Discrete Choice ModelingLimited Dependent Variable ModelsStochastic Frontier Production and Cost ModelsHeteroscedasticity and Box-Cox TransformationBivariate Limited Dependent Variable ModelingSelection ModelsMultivariate Limited Dependent ModelsVariable SelectionTests on ParametersBayesian AnalysisPrior DistributionsOutput to SAS Data SetOUTEST= Data SetNamingODS Table NamesODS Graphics
-
Examples
- References
You can reference every graph that is produced through ODS Graphics with a name. The names of the graphs that PROC QLIM generates are listed in Table 22.10 for the frequentist approach and in Table 22.11 for the Bayesian approach.
Table 22.10: Graphs Produced by PROC QLIM without a BAYES Statement
|
ODS Graph Name |
Plot Description |
Statement & Option |
|---|---|---|
|
Frequentist Output Plots |
||
|
ResidPlot |
Frequentist analysis of residuals |
PLOTS=RESIDUAL |
|
XbetaPlot |
Frequentist analysis of xbeta |
PLOTS=XBETA |
|
PredPlot |
Frequentist analysis of Predictions |
PLOTS=PREDICTED |
|
MargnPlot |
Frequentist analysis of marginal effects |
PLOTS=MARGINAL |
|
ErrStdPlot |
Frequentist analysis of the error standard deviation (meaningful only with a HETERO statement) |
PLOTS=ERRSTD |
|
MillsPlot |
Frequentist analysis of Mills ratio |
PLOTS=MILLS |
|
ExpctPlot |
Frequentist analysis of expected values for continuous endogenous variables |
PLOTS=EXPECTED |
|
TE1Plot |
Frequentist analysis of technical efficiency (only in stochastic frontier model) suggested by Battese and Coelli (1988) |
PLOTS=TE1 |
|
TE2Plot |
Frequentist analysis of technical efficiency (only in stochastic frontier model) suggested by Jondrow et al. (1982) |
PLOTS=TE2 |
|
CExpctPlot |
Frequentist analysis of conditional expected values for continuous endogenous variables |
PLOTS=CONDITIONAL |
|
ProbPlot |
Frequentist analysis of probability of discrete endogenous variables that take the current observed responses |
PLOTS=PROB |
|
ProbAllPlot |
Frequentist analysis of probability of discrete endogenous variables for all responses |
PLOTS=PROBALL |
|
ProfLikPlot |
Profile log-likelihood plot |
PLOTS=PROFLIK |
Table 22.11: Graphs Produced by PROC QLIM When a BAYES Statement Is Included
|
ODS Graph Name |
Plot Description |
Statement and Option |
|---|---|---|
|
Bayesian Diagnostic Plots |
||
|
ADPanel |
Autocorrelation function and density panel |
PLOTS=(AUTOCORR |
|
AutocorrPanel |
Autocorrelation function panel |
PLOTS=AUTOCORR |
|
AutocorrPlot |
Autocorrelation function plot |
PLOTS(UNPACK)=AUTOCORR |
|
DensityPanel |
Density panel |
PLOTS=DENSITY |
|
DensityPlot |
Density plot |
PLOTS(UNPACK)=DENSITY |
|
ProfLikPlot |
Profile log-likelihood plot |
PLOTS=PROFLIK |
|
TAPanel |
Trace and autocorrelation function panel |
PLOTS=(TRACE AUTOCORR) |
|
TADPanel |
Trace, density, and autocorrelation function panel |
PLOTS=(TRACE AUTOCORR DENSITY) |
|
PLOTS=BAYESDIAG |
||
|
TDPanel |
Trace and density panel |
PLOTS=(TRACE DENSITY) |
|
TracePanel |
Trace panel |
PLOTS=TRACE |
|
TracePlot |
Trace plot |
PLOTS(UNPACK)=TRACE |
|
Bayesian Summary Plots |
||
|
BayesSumPlot |
Prior/posterior densities and MLE |
PLOTS=BAYESSUM |
|
Bayesian Output Plots |
||
|
PredictiveByObsNumPlot |
Predictive analysis by observation number |
PLOTS(PRIOR)=BAYESPRED |
|
PredictivePlot |
Predictive analysis by regressor |
PLOTS(PRIOR)=BAYESPRED |