tobit1: Truncated response model

In micsr: Microeconometrics with R

Truncated response model

Description

Estimation of models for which the response is truncated, either on censored or truncated samples using OLS, NLS, maximum likelihood, two-steps estimators or trimmed estimators

Usage

tobit1(
  formula,
  data,
  subset,
  weights,
  na.action,
  offset,
  contrasts = NULL,
  start = NULL,
  left = 0,
  right = Inf,
  scedas = NULL,
  sample = c("censored", "truncated"),
  method = c("ml", "lm", "twostep", "trimmed", "nls", "minchisq", "test"),
  opt = c("bfgs", "nr", "newton"),
  maxit = 100,
  trace = 0,
  check_gradient = FALSE,
  ...
)

## S3 method for class 'tobit1'
fitted(object, ...)

Arguments

formula	a symbolic description of the model; if two right hand sides are provided, the second one described the set of instruments if scedas is NULL, which is the default. Otherwise, the second part indicates the set of covariates for the variance function
data, subset, weights, na.action, offset, contrasts	see lm
start	an optional vector of starting values
left, right	left and right truncation points for the response The default is respectively 0 and +Inf which corresponds to the most classic (left-zero truncated) tobit model
scedas	the functional form used to specify the conditional variance, either "exp" or "pnorm"
sample	either "censored" (the default) to estimate the censored (tobit) regression model or "truncated" to estimated the truncated regression model
method	one of "ml" for maximum likelihood, "lm" for (biased) least squares estimators, "twostep" for two-steps consistent estimators, "trimmed" for symetrically censored estimator, "minchisq" and "test". The last two are only relevant for instrumental variable estimation (when the formula is a two-parts formula and scedas is NULL)
opt	optimization method
maxit	maximum number of iterations
trace	printing of intermediate result
check_gradient	if TRUE the numeric gradient and hessian are computed and compared to the analytical gradient and hessian
...	further arguments
object	a tobit1 object

Value

An object of class c("tobit1", "micsr"), see micsr::micsr for further details.

Author(s)

Yves Croissant

References

\insertRef

POWE:86micsr

Examples

charitable$logdon <- with(charitable, log(donation) - log(25))
ml <- tobit1(logdon ~ log(donparents) + log(income) + education +
             religion + married + south, data = charitable)
scls <- update(ml, method = "trimmed")
tr <- update(ml, sample = "truncated")
nls <- update(tr, method = "nls")

micsr documentation built on June 8, 2025, 9:31 p.m.