summary.bife

Summary statistics for objects of class <code>"bife"</code>.

Estimates fixed effects binary choice models (logit and probit) with potentially many
individual fixed effects and computes average partial effects. Incidental parameter bias can be
reduced with an asymptotic bias correction proposed by Fernandez-Val (2009)
<doi:10.1016/j.jeconom.2009.02.007>.

Amrei Stammann

bife

Binary Choice Models with Fixed Effects

Daniel Czarnowske

Florian Heiss

Daniel McFadden

summary.bife function

<dl><dt>object</dt>
<dd>an object of class <code>"bife"</code>.</dd>
<dt>type</dt>
<dd>the type of parameter estimates the summary statistics are related to: structural 
parameters or fixed effects. Default is <code>"sp"</code> referring to the structural parameters.</dd>
<dt>corrected, fixed</dt>
<dd>deprecated.</dd>
<dt>...</dt>
<dd>other arguments.</dd></dl>

Arguments

Summarizing models of class bife — summary.bife

<dl>

<dt>object</dt>
<dd>an object of class <code>"bife"</code>.</dd>


<dt>type</dt>
<dd>the type of parameter estimates the summary statistics are related to: structural 
parameters or fixed effects. Default is <code>"sp"</code> referring to the structural parameters.</dd>


<dt>corrected, fixed</dt>
<dd>deprecated.</dd>


<dt>...</dt>
<dd>other arguments.</dd>

</dl>

summary.bife: Summarizing models of class `bife`

Description

Usage

Value

Arguments

See Also