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📄 frontier_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
💻 HLP
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{smcl}
{* 28mar2005}{...}
{cmd:help frontier postestimation} {...}
{right:dialogs:  {bf:{dialog fron_p:predict}}{space 1}}
{right:also see:  {helpb frontier}}
{hline}

{title:Title}

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


{title:Description}

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

{synoptset 11}{...}
{p2coldent :command}description{p_end}
{synoptline}
INCLUDE help post_adjust1
INCLUDE help post_estat
INCLUDE help post_estimates
INCLUDE help post_lincom
INCLUDE help post_linktest
INCLUDE help post_lrtest
INCLUDE help post_mfx
INCLUDE help post_nlcom
{synopt :{helpb frontier postestimation##predict:predict}}predictions, residuals, influence statistics, and other diagnostic measures{p_end}
INCLUDE help post_predictnl
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}]

{p 8 16 2}
{cmd:predict}
{dtype}
{c -(}{it:stub*}{c |}{it:newvar_xb} {it:newvar_v} {it:newvar_u}{c )-}
{ifin}
{cmd:,} {opt sc:ores}

{synoptset 11 tabbed}{...}
{synopthdr :statistic}
{synoptline}
{syntab :Main}
{synopt :{opt xb}}xb, fitted values (the default){p_end}
{synopt :{opt stdp}}standard error of the fitted values{p_end}
{synopt :{opt u}}estimates of minus the natural log of the technical
efficiency via E(u|e){p_end}
{synopt :{opt m}}estimates of minus the natural log of the technical
efficiency via M(u|e){p_end}
{synopt :{opt te}}estimates of the technical efficiency via {bind:E{exp(-su)|e}}
{break}
s ={space 2}1, for production functions{break}
s ={space 1}-1, for cost functions
{p_end}
{synoptline}
{p2colreset}{...}
{p 4 6 2}
These statistics are available both in and out of sample; type
{cmd:predict...if e(sample)...} if wanted only for the estimation sample.


{title:Options for predict}

{phang}
{opt xb}, the default, calculates the linear prediction.

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

{phang}
{opt u} produces estimates of minus the natural log of the technical
efficiency via E(u|e).

{phang}
{opt m} produces estimates of minus the natural log of the technical
efficiency via M(u|e).

{phang}
{opt te} produces estimates of the technical efficiency
via {bind:E{exp(-su)|e}}.

{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 regression equation.

{pmore}
The second new variable will contain the derivative of the log likelihood with
respect to the second equation ({hi:lnsig2v}).

{pmore}
The third new variable will contain the derivative of the log likelihood with
respect to the third equation ({hi:lnsig2u}).


{title:Examples}

{phang}{cmd:. frontier lnv lnk lnl, vhet(capital)}{p_end}
{phang}{cmd:. predict efficiency, te}{p_end}
{phang}{cmd:. predict mlogeffmean, u}{p_end}
{phang}{cmd:. predict mlogeffmode, m}{p_end}


{title:Also see}

{psee}
Manual:  {bf:[R] frontier postestimation}

{psee}
Online:  {helpb frontier};{break}
{helpb adjust},
{helpb estimates},
{helpb lincom},
{helpb linktest},
{helpb lrtest},
{helpb mfx},
{helpb nlcom},
{helpb predictnl},
{helpb test},
{helpb testnl}
{p_end}

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