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📄 svy_mlogit.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}
{* 30mar2005}{...}
{cmd:help svy: mlogit}{...}
{right:dialog:  {bf:{dialog svy_mlogit}}{space 16}}
{right:also see:  {help "svy: mlogit postestimation"}}
{hline}

{title:Title}

{p2colset 5 26 28 2}{...}
{p2col :{hi:[SVY] svy: mlogit} {hline 2}}Multinomial
logistic regression for survey data{p_end}
{p2colreset}{...}


{title:Syntax}

{p 8 42 2}
{cmd:svy} [{it:vcetype}]
	[{cmd:,} {it: svy_options}]
{cmd::} {cmdab:mlog:it} {depvar} [{indepvars}] {ifin}
	{bind:[{cmd:,} {it:options}]}


{synoptset 22 tabbed}{...}
INCLUDE help svy_optable


{synopthdr:options}
{synoptline}
{syntab:Model}
{synopt :{opt nocon:stant}}suppress the constant term{p_end}
{synopt :{opt b:asecategory(#)}}identify the base category{p_end}
{synopt :{opt const:raints(clist)}}apply
	specified linear constraints{p_end}

{syntab:Reporting}
{synopt :{opt rr:r}}report relative risk ratios{p_end}

{syntab:Max options}
{synopt :{it:{help maximize:maximize_options}}}control
	the maximization process; seldom used{p_end}
{synoptline}
{p2colreset}{...}


{title:Description}

{pstd}
{cmd:svy: mlogit} fits multinomial logistic regression models for complex
survey data.  In the multinomial logistic regression model, {it:depvar} is a
discrete variable that takes on more than two outcomes that have no natural
ordering.  The model can have a maximum of 50 outcomes with Stata/SE or
Intercooled Stata and 20 outcomes with Small Stata.

{pstd}
See {helpb mlogit} for a description of this model involving nonsurvey data,
{helpb "svy: logistic"} for logistic regression reporting odds ratios,
{helpb "svy: logit"} for logistic regression,
{helpb "svy: probit"} for probit regression,
{helpb "svy: ologit"} for ordered logistic regression, and
{helpb "svy: oprobit"} for ordered probit regression for survey data.


{title:Options}

{phang}
{it:svy_options}; see {helpb svy}.

{dlgtab:Model}

{phang}
{opt noconstant}; see {help estimation options}.

{phang}
{cmd:basecategory(}{it:#}{cmd:)} specifies the value of dependent variable
that is to be treated as the base category.  The default is to choose the
most-frequent category.

{phang}
{opt constraints(clist)}; see {help estimation options}.

{dlgtab:Reporting}

{phang}
{opt rrr}; see {it:{help eform_option}}.

INCLUDE help svy_internal_maximize_options


{title:Examples}

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


{title:Also see}

{psee}
Manual:  {bf:[SVY] svy: mlogit}

{psee}
Online:  {help "svy: mlogit postestimation"};{break}
{helpb mlogit},
{helpb "svy: logistic"},
{helpb "svy: logit"},
{helpb "svy: ologit"},
{helpb "svy: oprobit"}
{p_end}

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