mprobit_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}
{* 28mar2005}{...}
{cmd:help mprobit postestimation}{...}
{right:dialog:  {bf:{dialog mprobit_p:predict}}}
{right:also see:  {helpb mprobit}}
{hline}

{title:Title}

{p2colset 5 35 37 2}{...}
{p2col :{hi:[R] mprobit postestimation} {hline 2}}Postestimation tools for mprobit{p_end}
{p2colreset}{...}


{title:Description}

{pstd}
The following postestimation commands are available for {opt mprobit}:

{synoptset 11}{...}
{p2coldent :command}description{p_end}
{synoptline}
INCLUDE help post_estat
INCLUDE help post_estimates
INCLUDE help post_hausman
INCLUDE help post_lincom
INCLUDE help post_lrtest
INCLUDE help post_mfx
INCLUDE help post_nlcom
{synopt :{helpb mprobit postestimation##predict:predict}}predicted
probabilities, linear predictions, and standard errors{p_end}
INCLUDE help post_predictnl
INCLUDE help post_suest
INCLUDE help post_test
INCLUDE help post_testnl
{synoptline}
{p2colreset}{...}


{marker predict}{...}
{title:Syntax for predict}

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

{p 8 16 2}
{cmd:predict}
{dtype}
{c -(}stub*{c |}{it:newvar_1} ... {it:newvar_k-1}{c )-}
{ifin}
{cmd:,}
{opt sc:ores}

{phang}
where {it:k} is the number of outcomes in the model.

{synoptset 11 tabbed}{...}
{synopthdr :statistic}
{synoptline}
{syntab :Main}
{synopt :{cmdab:p:r}}probability of a positive outcome; the default{p_end}
{synopt :{cmd:xb}}xb, fitted values{p_end}
{synopt :{cmd: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}

{phang}
{opt pr}, the default, calculates the probability of each of the 
outcomes 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 k new variables, 
one for each outcome in the model.

{phang}
{opt xb} calculates the linear prediction x_{it:i} a_{it:j} for 
alternative {it:j} and individual {it:i}.  The index {it:j} corresponds 
to the outcome specified in {opt outcome()}.

{phang}
{opt stdp} calculates the standard error of the linear prediction.

{phang}
{opt outcome(outcome)} specifies the outcome for which the statistic is to be
calculated.  

{phang}
{opt scores} calculates the equation-level score variables.  The {it:j}th new
variable will contain the scores for the {it:j}th fitted equation.


{title:Examples}

{phang}{cmd:. webuse sysdsn3}{p_end}

{phang}{cmd:. mprobit insure age male nonwhite site2 site3}{p_end}

{phang}{cmd:. predict p1 if e(sample), outcome(1)}{p_end}


{title:Also see}

{psee}
Manual:  {bf:[R] mprobit}

{psee}
Online:  {helpb mprobit};{break}
{helpb estimates},
{helpb hausman},
{helpb lincom},
{helpb lrtest},
{helpb mfx},
{helpb nlcom},
{helpb predictnl},
{helpb suest},
{helpb test},
{helpb testnl}
{p_end}