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📄 svy_ivreg.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
字号:
{smcl}
{* 30mar2005}{...}
{cmd:help svy: ivreg}{...}
{right:dialog:  {bf:{dialog svy_ivreg}}{space 16}}
{right:also see:  {help "svy: ivreg postestimation"}}
{hline}

{title:Title}

{p2colset 5 25 27 2}{...}
{p2col :{hi:[SVY] svy: ivreg} {hline 2}}Instrumental
variables regression for survey data{p_end}
{p2colreset}{...}


{title:Syntax}

{p 8 42 2}
{cmd:svy} [{it:vcetype}] [{cmd:,} {it:svy_options}]
{cmd::} {cmd:ivreg} {depvar} [{varlist:1}]
	{cmd:(}{varlist:2} {cmd:=} {varlist:_iv}{cmd:)}
 	{ifin} [{cmd:,} {it:options} ]


{synoptset 21 tabbed}{...}
INCLUDE help svy_optable

{synopthdr:options}
{synoptline}
{syntab:Model}
{synopt :{opt nocon:stant}}suppress the constant term{p_end}

{syntab:Reporting}
{synopt :{opt first}}report first-stage estimates{p_end}
{synoptline}
{p2colreset}{...}


{title:Description}

{pstd}
{cmd:svy: ivreg} fits instrumental variables regression for complex survey
data; see {helpb ivreg} for a description of this model involving nonsurvey
data, help {helpb "svy: regress"} for linear regression for survey data.

{pstd}
Specifically, {cmd:svy: ivreg} fits a linear regression model using
instrumental variables (i.e., two-stage least squares) of {it:depvar} on
{it:varlist1} and {it:varlist2} using {it:varlist_iv} (along with
{it:varlist1}) as instruments for {it:varlist2}.

{pstd}
In the language of two-stage least squares, {it:varlist1} and {it:varlist_iv}
are the exogenous variables and {it:varlist2} the endogenous variables.


{title:Options}

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

{dlgtab:Model}

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

{dlgtab:Reporting}

{phang}{cmd:first} requests that the first-stage regression results be
displayed.


{title:Examples}

{phang}
{cmd:. webuse hsng2}
{p_end}
{phang}
{cmd:. svyset _n}
{p_end}
{phang}
{cmd:. svy: ivreg rent pcturban (hsngval = faminc reg2-reg4)}
{p_end}


{title:Also see}

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

{psee}
Online:  {help "svy: ivreg postestimation"};{break}
{helpb ivreg},
{helpb "svy: regress"}
{p_end}

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