Extracts single elements from multiple fixest
estimations.
Arguments
- x
A
fixest_multi
object, obtained from afixest
estimation leading to multiple results.- i
An integer scalar. The identifier of the estimation to extract.
See also
The main fixest estimation functions: feols
, fepois
,
fenegbin
, feglm
, feNmlm
. Tools for mutliple fixest
estimations: summary.fixest_multi
, print.fixest_multi
, as.list.fixest_multi
,
sub-sub-.fixest_multi
, sub-.fixest_multi
.
Examples
base = iris
names(base) = c("y", "x1", "x2", "x3", "species")
# Multiple estimation
res = feols(y ~ csw(x1, x2, x3), base, split = ~species)
# The first estimation
res[[1]]
#> OLS estimation, Dep. Var.: y
#> Observations: 50
#> Sample (species): setosa
#> Standard-errors: IID
#> Estimate Std. Error t value Pr(>|t|)
#> (Intercept) 2.639001 0.310014 8.51251 3.7424e-11 ***
#> x1 0.690490 0.089899 7.68074 6.7098e-10 ***
#> ---
#> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#> RMSE: 0.233723 Adj. R2: 0.542029
# The second one, etc
res[[2]]
#> OLS estimation, Dep. Var.: y
#> Observations: 50
#> Sample (species): setosa
#> Standard-errors: IID
#> Estimate Std. Error t value Pr(>|t|)
#> (Intercept) 2.303738 0.385294 5.97917 2.8943e-07 ***
#> x1 0.667416 0.090356 7.38653 2.1252e-09 ***
#> x2 0.283419 0.197224 1.43704 1.5733e-01
#> ---
#> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#> RMSE: 0.228751 Adj. R2: 0.551971