A short display of the call and the augmented-regression coefficients; see
summary.copreg for the full table with standard errors,
endogeneity tests, and diagnostics.
References
Qian, Y., A. Koschmann, and H. Xie (2025). A practical guide to endogeneity correction using copulas. Journal of Marketing.
Examples
set.seed(1)
n <- 150
w <- rnorm(n)
p <- 0.4 * w + rt(n, df = 3)
xi <- 0.5 * p + rnorm(n)
y <- 1 + 2 * p + 1.5 * w + xi
dat <- data.frame(y = y, p = p, w = w)
fit <- endogCopula:::.copreg_fit(
formula = y ~ p | w, data = dat,
ctor = endogCopula:::.ctor_twostage(TRUE),
method = "2sCOPE", cdf = "rank.n", ties = "max",
nboots = 25, verbose = FALSE)
print(fit)
#>
#> Copula endogeneity correction: 2sCOPE
#>
#> Coefficients:
#> (Intercept) p w p_cop
#> 0.8776 2.8387 1.4293 -0.5092
#>
