# pldv: Panel estimators for limited dependent variables In plm: Linear Models for Panel Data

## Description

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

## Usage

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16``` ```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")`.

Yves Croissant

## References

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HONO:92plm

plm documentation built on March 3, 2021, 1:12 a.m.