pldv {plm} | R Documentation |
Fixed and random effects estimators for truncated or censored limited dependent variable
pldv(formula, data, subset, weights, na.action, model = c("fd", "random", "pooling"), index = NULL, R = 20, start = NULL, lower = 0, upper = + Inf, objfun = c("lsq", "lad"), sample = c("cens", "trunc"), ...)
formula |
a symbolic description for the model to be estimated, |
data |
a |
subset |
see |
weights |
see |
na.action |
see |
model |
one of |
index |
the indexes, see |
R |
the number of points for the gaussian quadrature, |
start |
a vector of starting values, |
lower |
the lower bound for the censored/truncated dependent variable, |
upper |
the upper bound for the censored/truncated dependent variable, |
objfun |
the objective function for the fixed effect model, one
of |
sample |
|
... |
further arguments. |
pldv
computes two kinds of models : maximum likelihood estimator
with an assumed normal distribution for the individual effects and a
LSQ/LAD estimator for the first-difference model.
An object of class c("plm","panelmodel")
.
Yves Croissant
Honor\'e, Bo (1992). Trimmed LAD and least squares estimation of truncated and censored regression models with fixed effects, Econometrica, 60(3), pp. 533–565.