df.residual.fixest

Returns the residual degrees of freedom for a fitted <code>fixest</code> object

Fast and user-friendly estimation of econometric models with multiple fixed-effects. Includes ordinary least squares (OLS), generalized linear models (GLM) and the negative binomial.
The core of the package is based on optimized parallel C++ code, scaling especially well for large data sets. The method to obtain the fixed-effects coefficients is based on Berge (2018) <https://github.com/lrberge/fixest/blob/master/_DOCS/FENmlm_paper.pdf>.
Further provides tools to export and view the results of several estimations with intuitive design to cluster the standard-errors.

Laurent Berge

fixest

Fast Fixed-Effects Estimations

Sebastian Krantz

Grant McDermott

Russell Lenth

df.residual.fixest function

<dl><dt>object</dt>
<dd>A <code>fixest</code> estimation, e.g. from <code>feols</code> or <code>feglm</code>.</dd>
<dt>...</dt>
<dd>Not currently used</dd></dl>

Arguments

Residual degrees-of-freedom for fixest objects — df.residual.fixest

<dl>

<dt>object</dt>
<dd>A <code>fixest</code> estimation, e.g. from <code>feols</code> or <code>feglm</code>.</dd>


<dt>...</dt>
<dd>Not currently used</dd>

</dl>

df.residual.fixest: Residual degrees-of-freedom for `fixest` objects

Description

Usage

Value

Arguments

See Also

Examples