plot.femlm.allClusters {FENmlm}

Displaying the most notable fixed-effects

Description

This function plots the 5 fixed-effects with the highest and lowest values, for each of the clusters. It takes as an argument the fixed-effects obtained from the function getFE after and estimation using femlm.

Usage

## S3 method for class 'femlm.allClusters'
plot(x, n = 5, ...)

Arguments

x

An object obtained from the function getFE.

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 cluster 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

getFE to extract clouster coefficients. See also the main estimation function femlm. Use summary.femlm to see the results with the appropriate standard-errors, the functions res2table and res2tex to visualize the results of multiple estimations.

Examples

data(trade)

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

# obtaining the cluster coefficients
fe_trade = getFE(est_pois)

# plotting them
plot(fe_trade)