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plm

pldv

Panel estimators for limited dependent variables

Description

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

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").

Author(s)

Yves Croissant

References

Honoré BE (1992). “Trimmed LAD and least squares estimation of truncated and censored regression models with fixed effects.” Econometrica, 60(3).

plm

Linear Models for Panel Data

v2.4-1

GPL (>= 2)

Authors

Yves Croissant [aut, cre], Giovanni Millo [aut], Kevin Tappe [aut], Ott Toomet [ctb], Christian Kleiber [ctb], Achim Zeileis [ctb], Arne Henningsen [ctb], Liviu Andronic [ctb], Nina Schoenfelder [ctb]

Initial release

2021-03-02