logLik.bife

<code>logLik.bife</code> extracts the sum of the log-likelihood from an object 
returned by <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

logLik.bife function

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

Arguments

Extract log-likelihood — logLik.bife

<dl>

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


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

</dl>

logLik.bife: Extract log-likelihood

Description

Usage

Value

Arguments

See Also