ologit.hlp

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{smcl}
{* 08mar2005}{...}
{cmd:help ologit}{right:dialog:  {bf:{dialog ologit}}{space 15}}
{right:also see:  {help ologit postestimation}}
{hline}

{title:Title}

{p2colset 5 19 21 2}{...}
{p2col :{hi:[R] ologit} {hline 2}}Ordered logistic regression{p_end}
{p2colreset}{...}


{title:Syntax}

{p 8 15 2}
{cmdab:olog:it}
{depvar}
[{indepvars}]
{ifin}
{weight}
[{cmd:,} {it:options}]

{synoptset 20 tabbed}{...}
{synopthdr}
{synoptline}
{syntab :Model}
{synopt :{opth off:set(varname)}}include {it:varname} in model with coefficient constrained to 1{p_end}

{syntab :SE/Robust}
{synopt :{opth vce(vcetype)}}{it:vcetype} may be {opt r:obust},
	{opt boot:strap}, or {opt jack:knife}{p_end}
{synopt :{opt r:obust}}synonym for {cmd:vce(robust)}{p_end}
{synopt :{opth cl:uster(varname)}}adjust standard errors for intragroup correlation{p_end}

{syntab :Reporting}
{synopt :{opt l:evel(#)}}set confidence level; default is {cmd:level(95)}{p_end}
{synopt :{opt or}}report odds ratios{p_end}

{syntab :Max options}
{synopt :{it:{help ologit##maximize_options:maximize_options}}}control the maximization process; seldom used{p_end}
{synoptline}
{p2colreset}{...}
{p 4 6 2}
{opt bootstrap}, {opt by}, {opt jackknife}, {opt rolling}, {opt statsby},
{opt stepwise}, {opt svy}, and {opt xi} are allowed; see {help prefix}.{p_end}
{p 4 6 2}
{opt fweight}s, {opt iweight}s, and {opt pweight}s are allowed; see {help weight}.{p_end}
{p 4 6 2}See {help ologit postestimation} for features available after estimation.{p_end}


{title:Description}

{pstd}
{opt ologit} fits ordered logit models of ordinal variable {depvar} on the
independent variables {indepvars}.  The actual values taken on by the dependent
variable are irrelevant, except that larger values are assumed to correspond
to "higher" outcomes.  Up to 50 outcomes are allowed in Stata/SE and
Intercooled Stata, and up to 20 outcomes are allowed in Small Stata.

{pstd}
See {help logistic estimation commands} for a list of related estimation
commands.

{title:Options}

{dlgtab:Model}

{phang}
{opth offset(varname)}; see {help estimation options}.

{dlgtab:SE/Robust}

{phang}
{opt vce(vcetype)}; see {it:{help vce_option}}.

{phang}
{opt robust}, {opth cluster(varname)};
see {help estimation options}.  {opt cluster()} can be used with 
{opt pweight}s to produce estimates for unstratified cluster-sampled data, but
see {helpb "svy:ologit"} for a command especially for survey data.


{dlgtab:Reporting}

{phang}
{opt level(#)}; see {help estimation options}.

{phang}
{opt or} reports the estimated coefficients transformed to odds
ratios; i.e. exp(b) rather than b.  Standard errors and confidence intervals
are similarly transformed.  This option affects how results are displayed,
not how they are estimated.  {opt or} may be specified at
estimation or when replaying previously estimated results.

{marker maximize_options}{...}
{dlgtab:Max options}

{phang}
{it:maximize_options}:
{opt iter:ate(#)},
[{cmd:{ul:no}}]{opt lo:g},
{opt tr:ace},
{opt tol:erance(#)},
{opt ltol:erance(#)};
see {help maximize}.  These options are seldom used.


{title:Example}

{p 4 8 2}{cmd:. ologit rep77 foreign length mpg}{p_end}


{title:Also see}

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

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