svy_oprobit_postestimation.hlp

是一个经济学管理应用软件 很难找的 但是经济学学生又必须用到

{smcl}
{* 29mar2005}{...}
{cmd:help svy: oprobit postestimation}{...}
{right:dialogs:  {bf:{dialog svy_oprobit_p:predict}}{space 5}}
{right:also see:  {helpb "svy: oprobit"}}
{hline}

{title:Title}

{p2colset 5 42 44 2}{...}
{p2col :{hi:[SVY] svy: oprobit postestimation} {hline 2}}Postestimation
tools for {cmd:svy: oprobit}{p_end}
{p2colreset}{...}


{title:Description}

{pstd}
The following postestimation commands are available for {cmd:svy: oprobit}:

INCLUDE help svy_postestimation


{title:Syntax for predict}

{p 8 16 2}
{cmd:predict} {dtype} {newvar:s} 
	{ifin} [{cmd:,} {it:statistic}
	{opt o:utcome(outcome)} {cmdab:nooff:set} ]

{p 8 16 2}
{cmd:predict} {dtype} {c -(}
	{it:stub}{cmd:*} |
	{newvar:1} {it:...} {newvar:_k}
	{c )-}
	{ifin} {cmd:,} {opt sc:ores}

{synoptset 13 tabbed}{...}
{synopthdr:statistic}
{synoptline}
{syntab: Main}
{synopt :{opt p:r}}probability of a positive outcome; the default{p_end}
{synopt :{opt xb}}linear prediction of outcome variable{p_end}
{synopt :{opt stdp}}standard error of the linear prediction{p_end}
{synoptline}
{p2colreset}{...}
{p 4 6 2}
Note that you specify one new variable with {opt xb} and {opt stdp} and
specify either one or {it:k} new variables with {opt pr}.
{p_end}
INCLUDE help esample


{title:Options for predict}

{dlgtab:Main}

{phang}
{opt pr}, the default, calculates the probability of each of the
alternatives in the model or the probability of the outcome
specified in {opt outcome()}. If you specify {opt outcome()}, you only 
need to specify one new variable; otherwise, you must specify {it:k} new 
variables, one for each alternative in the model.

{phang}
{opt xb} calculates the linear prediction.  You specify one new
variable; for example, "{hi:predict} {it:myxb}{hi:, xb}".  The linear
prediction is defined ignoring the contribution of the estimated cut points.

{phang}
{opt stdp} calculates the standard error of the linear prediction.  You
specify one new variable; for example,
"{hi:predict} {it:se_of_myxb}{hi:, stdp}".

{phang}
{opt outcome(outcome)} specifies the outcome for which the statistic is to be
calculated. {opt equation()} is a synonym for {opt outcome()}: it does not
matter which you use, and the standard rules for specifying an
{opt equation()} apply.

{phang}
{opt nooffset} is relevant if you specified {opt offset()} when you
fitted the model.
It modifies the calculations made by {cmd:predict} so that
they ignore the offset variable; the linear prediction is treated as xb
rather than xb + offset.

{phang}
{opt scores} calculates equation-level score variables.  The number of score
variables created will be one less than the number of outcomes in the model.

{pmore}
The first new variable will contain the derivative of the log likelihood with
respect to the regression equation.

{pmore}
The other new variables will contain the derivative of the log likelihood with
respect to the cutpoints.


{title:Examples}

{phang}
{cmd:. webuse nhanes2f}
{p_end}
{phang}
{cmd:. svyset}
{p_end}
{phang}
{cmd:. svy: oprobit health female black age age2}
{p_end}

{phang}
{cmd:. predict pr_avg, outcome(3)}
{p_end}
{phang}
{cmd:. describe pr_avg}
{p_end}


{title:Also see}

{psee}
Manual:  {bf:[SVY] svy: oprobit postestimation}

{psee}
Online:  {helpb "svy: oprobit"};{break}
{helpb svy estat:estat},
{helpb estimates},
{helpb lincom},
{helpb mfx},
{helpb nlcom},
{helpb predictnl},
{helpb suest},
{helpb test},
{helpb testnl}
{p_end}