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Hi @lrberge ! Thanks for all your work on fixest.
I noticed that nparams can differ by one for the same model specification depending on whether multiple estimation syntax is used or not (see example below). Is this intentional?
library(fixest)
set.seed(42)
d <- data.frame(
Y = rnorm(100),
X1 = rnorm(100),
f1 = sample(1:5, 100, replace = TRUE),
f2 = sample(1:4, 100, replace = TRUE)
)
# Two models Y ~ X1 | f1 and Y ~ X1 | f1 + f2
# estimated via three different formulas
# 1) Single estimation
single_f1 <- feols(Y ~ X1 | f1, data = d)
single_f1_f2 <- feols(Y ~ X1 | f1 + f2, data = d)
# 2) csw (cumulative stepwise)
multi_csw <- feols(Y ~ X1 | csw(f1, f2), data = d)
# 3) sw (stepwise)
multi_sw <- feols(Y ~ X1 | sw(f1, f1 + f2), data = d)
cat("Model: Y ~ X1 | f1\n")
cat(sprintf("single: nobs=%d nparams=%d se=%.10f\n", single_f1$nobs, single_f1$nparams, summary(single_f1)$se["X1"]))
cat(sprintf("csw: nobs=%d nparams=%d se=%.10f\n", multi_csw[[1]]$nobs, multi_csw[[1]]$nparams, summary(multi_csw[[1]])$se["X1"]))
cat(sprintf("sw: nobs=%d nparams=%d se=%.10f\n", multi_sw[[1]]$nobs, multi_sw[[1]]$nparams, summary(multi_sw[[1]])$se["X1"]))
#> Model: Y ~ X1 | f1
#> single: nobs=100 nparams=6 se=0.1227675080
#> csw: nobs=100 nparams=6 se=0.1227675080
#> sw: nobs=100 nparams=7 se=0.1234257835
cat("\nModel: Y ~ X1 | f1 + f2\n")
cat(sprintf("single: nobs=%d nparams=%d se=%.10f\n", single_f1_f2$nobs, single_f1_f2$nparams, summary(single_f1_f2)$se["X1"]))
cat(sprintf("csw: nobs=%d nparams=%d se=%.10f\n", multi_csw[[2]]$nobs, multi_csw[[2]]$nparams, summary(multi_csw[[2]])$se["X1"]))
cat(sprintf("sw: nobs=%d nparams=%d se=%.10f\n", multi_sw[[2]]$nobs, multi_sw[[2]]$nparams, summary(multi_sw[[2]])$se["X1"]))
#> Model: Y ~ X1 | f1 + f2
#> single: nobs=100 nparams=9 se=0.1288801690
#> csw: nobs=100 nparams=9 se=0.1288801690
#> sw: nobs=100 nparams=10 se=0.1295941920Reactions are currently unavailable
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