{smcl}
{* 14Feb2017/11Feb2008}{...}
{hline}
help for {cmd:fmlogit postestimation}
{hline}
{title:Title}
{p2colset 5 32 35 2}{...}
{p2col :{hi:fmlogit postestimation} {hline 2}}Postestimation tools for
fmlogit{p_end}
{p2colreset}{...}
{title:Description}
The following standard postestimation commands are also available:
{synoptset 14 tabbed}{...}
{p2coldent :command}description{p_end}
{synoptline}
INCLUDE help post_estat
INCLUDE help post_estimates
INCLUDE help post_lincom
INCLUDE help post_lrtest
INCLUDE help post_margins
INCLUDE help post_nlcom
{synopt :{helpb fmlogit postestimation##predict:predict}}predictions{p_end}
INCLUDE help post_predictnl
INCLUDE help post_suest
INCLUDE help post_test
INCLUDE help post_testnl
{synoptline}
{p2colreset}{...}
For older versions of Stata (< 11):
{p 4 4 2}{helpb fmlogit postestimation##dfmlogit:dfmlogit} displays discrete changes and
marginal effects after {help fmlogit}. For more recent versions of Stata use {helpb margins}
instead.
{marker predict}{...}
{title:Syntax for predict}
{p 8 16 2}
{cmd:predict} {dtype} {newvar} {ifin}
[{cmd:,} {it:statistic}
{opt out:come(varname)}
{opt eq:uation(eqno)}
]
{synoptset 14 tabbed}{...}
{synopthdr :statistic}
{synoptline}
{synopt :{cmd:xb}}xb, the linear predictor{p_end}
{synopt :{cmd:stdp}}standard error of the prediction{p_end}
{synopt :{cmdab:pr}}proportion{p_end}
{synopt :{opt sc:ore}}first derivative of the log likelihood with respect
to the linear predictor. {p_end}
{synoptline}
{p2colreset}{...}
{title:Options for predict}
{phang}
{opt out:come(varname)} specifies the outcome. This option may only be used
with the {cmd:pr} option.
{phang}
{opt eq:uation(#)} specifies the equation, as in {help predict}. This option
may only be used with the {cmd:xb}, {cmd:stdp}, and {cmd:score} options.
{marker dfmlogit}{...}
{title:dfmlogitit: displaying discrete changes and marginal effects from fmlogit output for Stata version < 11}
{title:Syntax}
{p 8 17 2}
{cmd:dfmlogit}
[{cmd:,}
{cmd:at(}{it:variables_and_values}{cmd:)}
]
{title:Description}
{p 4 4 2} {cmd:dfmlogit} displays the change in predicted dependent variable
for three types of discrete changes in explanatory variable and the marginal
effects:
{p 8 8 2}{cmd:Discrete Changes}
{p 8 8 2}{cmd:Min --> Max} shows the change in predicted dependent variable
when the explanatory variable changes from its minimum value to its maximum
value, while keeping all other explanatory variables at their specified
values (by default the mean). This is the only effect shown for dummy
variables (variables with only two distinct values).
{p 8 8 2}{cmd:+-SD/2} shows the change in predicted dependent variable when the
explanatory variable moves from half a standard deviation below its specified
value (by default the mean) to half a standard deviation above its specified
value, while keeping all other variables at their specified values. In other
words: It shows the effect of a standard deviation change in explanatory
variable, centered around the specified value, on the predicted dependent
variable.
{p 8 8 2}{cmd:+-1/2} shows the change in predicted dependent variable when the
explanatory variable moves from half a unit below its specified value to half
a unit above its specified value, while keeping all other variables at their
specified values. In other words: It shows the effect of a unit change in
explanatory variable, centered around the specified value, on the predicted
dependent variable.
{p 8 8 2}{cmd:Marginal Effects}
{p 8 8 2}{cmd:MFX at x} shows the marginal effect of each (non dummy) variable,
while keeping all variables at their specified values. The marginal effect is
the change in predicted dependent variable for a unit change in the explanatory
variable, assuming that the effect doesn't change over that interval.
{title:Options}
{p 4 8 2}{cmd:at(}{it:variables_and_values}{cmd:)} allow the user to specify at
which values of the explanatory variables the effects are calculated.
{it:variables_and_values} is an alternating list of variables and either numeric
values or mean, median, min, max, p1, p5, p10 p25, p50, p75, p90, p95, p99. The
default is mean for all variables. The statistics p1, p5, ..., p99, are the 1st,
5th, ..., 99th percentile.
{title:Examples}
{cmd}
use http://fmwww.bc.edu/repec/bocode/c/citybudget.dta, clear
fmlogit governing safety education recreation social urbanplanning, ///
eta(minorityleft noleft houseval popdens)
dfmlogit, at(minorityleft 0 noleft 0 )
{txt}
{title:Also see}
{p 4 13 2}
Online: help for {helpb fmlogit}, {helpb estimates}, {helpb lincom},
{helpb lrtest}, {helpb margins}, {helpb nlcom}, {helpb predictnl},
{helpb suest}, {helpb test}, {helpb testnl}
{p_end}