Displaying the most notable fixed-effects

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 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.

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.

Author

Laurent Berge

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)