This function summarizes the main characteristics of the fixed-effects coefficients. It shows the number of fixed-effects that have been set as references and the first elements of the fixed-effects.
Usage
# S3 method for fixest.fixef
summary(object, n = 5, ...)Arguments
- object
An object returned by the function
fixef.fixest.- n
Positive integer, defaults to 5. The
nfirst fixed-effects for each fixed-effect dimension are reported.- ...
Not currently used.
Value
It prints the number of fixed-effect coefficients per fixed-effect dimension, as well as
the number of fixed-effects used as references for each dimension, and the mean and variance
of the fixed-effect coefficients. Finally, it reports the first 5 (arg. n) elements of
each fixed-effect.
Examples
data(trade)
# We estimate the effect of distance on trade
# => we account for 3 fixed-effects effects
est_pois = femlm(Euros ~ log(dist_km)|Origin+Destination+Product, trade)
# obtaining the fixed-effects coefficients
fe_trade = fixef(est_pois)
# printing some summary information on the fixed-effects coefficients:
summary(fe_trade)
#> Fixed_effects coefficients
#> Origin Destination Product
#> Number of fixed-effects 15 15 20
#> Number of references 0 1 1
#> Mean 23.5 3.09 0.0127
#> Standard-deviation 1.28 1.11 1.36
#>
#> COEFFICIENTS:
#> Origin: AT BE DE DK ES
#> 22.67 23.72 24.87 23.6 25.13 ... 10 remaining
#> -----
#> Destination: AT BE DE DK ES
#> 2.436 2.696 4.323 2.451 4.043 ... 10 remaining
#> -----
#> Product: 1 2 3 4 5
#> 0 1.414 0.656 1.449 -1.521 ... 15 remaining