plot.fixest.fixef: Displaying the most notable fixed-effects

In fixest: Fast Fixed-Effects Estimations

Displaying the most notable fixed-effects

Description

This function plots the 5 fixed-effects with the highest and lowest values, for each of the fixed-effect dimension. It takes as an argument the fixed-effects obtained from the function fixef.fixest after an estimation using femlm, feols or feglm.

Usage

## S3 method for class 'fixest.fixef'
plot(x, n = 5, ...)

Arguments

x	An object obtained from the function fixef.fixest.
n	The number of fixed-effects to be drawn. Defaults to 5.
...	Not currently used. Note that the fixed-effect coefficients might NOT be interpretable. This function is useful only for fully regular panels. If the data are not regular in the fixed-effect coefficients, this means that several ‘reference points’ are set to obtain the fixed-effects, thereby impeding their interpretation. In this case a warning is raised.

Author(s)

Laurent Berge

See Also

fixef.fixest to extract clouster coefficients. See also the main estimation function femlm, feols or feglm. Use summary.fixest to see the results with the appropriate standard-errors, the function etable to visualize the results of multiple estimations.

Examples

data(trade)

# We estimate the effect of distance on trade
# => we account for 3 fixed-effects
est_pois = femlm(Euros ~ log(dist_km)|Origin+Destination+Product, trade)

# obtaining the fixed-effects coefficients
fe_trade = fixef(est_pois)

# plotting them
plot(fe_trade)

fixest documentation built on June 22, 2024, 9:12 a.m.