The HPQLIM Procedure

Naming

Naming of Parameters
Naming of Output Variables

Naming of Parameters

The parameters are named in the same way as in other SAS procedures such as the REG and PROBIT procedures. The constant in the regression equation is called Intercept. The coefficients of independent variables are named by the independent variables. The standard deviation of the errors is called _Sigma. If the HETERO statement is included, the coefficients of the independent variables in the HETERO statement are called _H., where is the name of the independent variable.

Naming of Output Variables

Table 4.10 shows the options in the OUTPUT statement, with the corresponding variable names and their explanations.

Table 4.10: OUTPUT Statement Options

output-option	Variable Name	Explanation
CONDITIONAL	CEXPCT_y	Conditional expected value of , conditioned on the truncation
ERRSTD	ERRSTD_y	Standard deviation of error term
EXPECTED	EXPCT_y	Unconditional expected value of
MARGINAL	MEFF_x	Marginal effect of on ( $\frac{\partial y}{\partial x}$ ) with single equation
OUTVAR	The variable name used in the input data set	Input data variables are added to the output data set
PREDICTED	P_y	Predicted value of
RESIDUAL	RESID_y	Residual of , (y – PredictedY)
TE1	TE1	Technical efficiency estimate for each producer proposed by Battese and Coelli (1988)
TE2	TE2	Technical efficiency estimate for each producer proposed by Jondrow et al. (1982)
XBETA	XBETA_y	Structure part ( $\mb {x}’\bbeta$ ) of equation

If you prefer to name the output variables differently, you can use the RENAME option in the data set. For example, the following statements rename the residual of as Resid:

   proc hpqlim data=one;
      model y = x1-x10 / censored;
      output out=outds(rename=(resid_y=resid)) residual;
   run;