Specifies the input data set

QLIM

DATA=

Writes parameter estimates to an output data set

QLIM

OUTEST=

Writes predictions to an output data set

OUTPUT

OUT=

Specifies BY-group processing

BY

Specifies classification variables

CLASS

Specifies a frequency variable

FREQ

Specifies a weight variable

WEIGHT

NONORMALIZE

Requests all printing options

QLIM

PRINTALL

Prints correlation matrix of the estimates

QLIM

CORRB

Prints covariance matrix of the estimates

QLIM

COVB

Prints a summary iteration listing

QLIM

ITPRINT

Suppresses the normal printed output

QLIM

NOPRINT

Specifies the optimization method

QLIM

METHOD=

Specifies the optimization options

NLOPTIONS

see Chapter 6, Nonlinear Optimization Methods,

Sets initial values for parameters

INIT

Specifies upper and lower bounds for the parameter estimates

BOUNDS

Specifies linear restrictions on the parameter estimates

RESTRICT

Specifies options specific to Box-Cox transformation

MODEL

BOXCOX()

Suppresses the intercept parameter

MODEL

NOINT

Specifies a seed for pseudo-random number generation

QLIM

SEED=

Specifies number of draws for Monte Carlo integration

QLIM

NDRAW=

Specifies method to calculate parameter covariance

QLIM

COVEST=

Specifies discrete variable

ENDOGENOUS

DISCRETE()

Specifies censored variable

ENDOGENOUS

CENSORED()

Specifies truncated variable

ENDOGENOUS

TRUNCATED()

Specifies variable selection condition

ENDOGENOUS

SELECT()

Specifies stochastic frontier variable

ENDOGENOUS

FRONTIER()

Specifies the function for heteroscedasticity models

HETERO

LINK=

Squares the function for heteroscedasticity models

HETERO

SQUARE

Specifies no constant for heteroscedasticity models

HETERO

NOCONST

Outputs predicted values

OUTPUT

PREDICTED

Outputs structured part

OUTPUT

XBETA

Outputs residuals

OUTPUT

RESIDUAL

Outputs error standard deviation

OUTPUT

ERRSTD

Outputs marginal effects

OUTPUT

MARGINAL

Outputs probability for the current response

OUTPUT

PROB

Outputs probability for all responses

OUTPUT

PROBALL

Outputs expected value

OUTPUT

EXPECTED

Outputs conditional expected value

OUTPUT

CONDITIONAL

Outputs inverse Mills ratio

OUTPUT

MILLS

Outputs technical efficiency measures

OUTPUT

TE1

OUTPUT

TE2

Includes covariances in the OUTEST= data set

QLIM

COVOUT

Includes correlations in the OUTEST= data set

QLIM

CORROUT

Requests Wald, Lagrange multiplier, and likelihood ratio tests

TEST

ALL

Requests the WALD test

TEST

WALD

Requests the Lagrange multiplier test

TEST

LM

Requests the likelihood ratio test

TEST

LR