biprobit_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 biprobit postestimation} {right:dialog:  {bf:{dialog bipr_p:predict}}{space 1}}
{right:also see:  {helpb biprobit}}
{hline}

{title:Title}

{p2colset 5 36 38 2}{...}
{p2col :{hi:[R] biprobit postestimation} {hline 2}}Postestimation tools for biprobit{p_end}
{p2colreset}{...}


{title:Description}

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

{synoptset 11}{...}
{p2coldent :command}description{p_end}
{synoptline}
{p2colset 5 20 22 2}{...}
INCLUDE help post_estat
INCLUDE help post_estimates
INCLUDE help post_lincom
INCLUDE help post_lrtest
INCLUDE help post_mfx
INCLUDE help post_nlcom
{synopt :{helpb biprobit postestimation##predict:predict}}predictions, residuals, influence statistics, and other diagnostic measures{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 nooff:set}]

{p 8 16 2}
{cmd:predict}
{dtype}
{c -(}{it:stub*}{c |}{it:newvar_eq1} {it:newvar_eq2} {it:newvar_athrho}{c )-}
{ifin}
{cmd:,}
{opt sc:ores}

{synoptset 11 tabbed}{...}
{synopthdr :statistic}
{synoptline}
{syntab :Main}
{synopt :{opt p:11}}Pr({it:depvar1}=1, {it:depvar2}=1); the default{p_end}
{synopt :{opt p10}}Pr({it:depvar1}=1, {it:depvar2}=0){p_end}
{synopt :{opt p01}}{it:var1}=0, {it:depvar2}=1){p_end}
{synopt :{opt p00}}Pr({it:depvar1}=0, {it:depvar2}=0){p_end}
{synopt :{opt pmarg1}}Pr({it:depvar1}=1); marginal success probability for equation 1{p_end}
{synopt :{opt pmarg2}}Pr({it:depvar2}=1); marginal success probability for equation 2{p_end}
{synopt :{opt pcond1}}Pr({it:depvar1}=1 | {it:depvar2}=1){p_end}
{synopt :{opt pcond2}}Pr({it:depvar2}=1 | {it:depvar1}=1){p_end}
{synopt :{opt xb1}}fitted values for equation 1{p_end}
{synopt :{opt xb2}}fitted values for equation 2{p_end}
{synopt :{opt stdp1}}standard error of fitted values for equation 1{p_end}
{synopt :{opt stdp2}}standard error of fitted values for equation 2{p_end}
{synoptline}
{p2colreset}{...}
INCLUDE help esample


{title:Options for predict}

{phang}
{opt p11}, the default, calculates the bivariate predicted probability
Pr({it:depvar1}=1, {it:depvar2}=1).

{phang}
{opt p10} calculates the bivariate predicted probability Pr({it:depvar1}=1,
{it:depvar2}=0).

{phang}
{opt p01} calculates the bivariate predicted probability Pr({it:depvar1}=0,
{it:depvar2}=1).

{phang}
{opt p00} calculates the bivariate predicted probability Pr({it:depvar1}=0,
{it:depvar2}=0).

{phang}
{opt pmarg1} calculates the univariate (marginal) predicted probability
of success Pr({it:depvar1}=1).

{phang}
{opt pmarg2} calculates the univariate (marginal) predicted probability
of success Pr({it:depvar2}=1).

{phang}
{opt pcond1} calculates the conditional (on success in equation 2)
predicted probability of success Pr({it:depvar1}=1 | {it:depvar2}=1).

{phang}
{opt pcond2} calculates the conditional (on success in equation 1)
predicted probability of success Pr({it:depvar2}=1 | {it:depvar1}=1).

{phang}
{opt xb1} calculates the probit linear prediction for equation 1.

{phang}
{opt xb2} calculates the probit linear prediction for equation 2.

{phang}
{opt stdp1} calculates the standard error of the linear prediction of
equation 1.

{phang}
{opt stdp2} calculates the standard error of the linear prediction of
equation 2.

{phang}
{opt nooffset} is relevant only if you specified {opth offset1(varname)} or 
{opt offset2(varname)} for
{cmd:biprobit}.  It modifies the calculations made by {opt predict} so that
they ignore the offset variables; the linear predictions are treated as 
xb rather than xb + offset1 and z_[gamma] rather than as
z_[gamma] + offset2.

{phang}
{opt scores} calculates equation-level score variables.

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

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

{pmore}
The third new variable will contain the derivative of the log likelihood with
respect to the third equation ({hi:athrho}).


{title:Examples}

{phang}{cmd:. biprobit priv vote ptax inc yrs}{p_end}
{phang}{cmd:. predict both1}{p_end}
{phang}{cmd:. predict both0, p00}{p_end}
{phang}{cmd:. predict pgivenvote, pcond1}{p_end}
{phang}{cmd:. predict vote, pmarg2}{p_end}


{title:Also see}

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

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