# pldv

##### Panel estimators for limited dependent variables

Fixed and random effects estimators for truncated or censored limited dependent variable

- Keywords
- regression

##### Usage

```
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"),
...
)
```

##### Arguments

- formula
a symbolic description for the model to be estimated,

- data
a

`data.frame`

,- subset
see

`lm`

,- weights
see

`lm`

,- na.action
see

`lm`

,- model
one of

`"fd"`

,`"random"`

or`"pooling"`

,- index
the indexes, see

`pdata.frame()`

,- 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

`"lsq"`

for least squares and`"lad"`

for least absolute deviations,- sample
`"cens"`

for a censored (tobit-like) sample,`"trunc"`

for a truncated sample,- …
further arguments.

##### Details

`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.

##### Value

An object of class `c("plm","panelmodel")`

.

##### References

HONO:92plm

*Documentation reproduced from package plm, version 2.2-5, License: GPL (>= 2)*