Object Reference : Object View and Procedure Reference : Equation
  
 
censored
Estimation of censored and truncated models.
Estimates models where the dependent variable is either censored or truncated. The allowable specifications include the standard Tobit model.
Syntax
eq_name.censored(options) y x1 [x2 x3]
eq_name.censored(options) specification
Options
 
l=number (default=0)
Set value for the left censoring limit.
r=number (default=none)
Set value for the right censoring limit.
l=series_name, i
Set series name of the indicator variable for the left censoring limit.
r=series_name, i
Set series name of the indicator variable for the right censoring limit.
t
Estimate truncated model.
d=arg (default=“n”)
Specify error distribution: normal (“n”), logistic (“l”), Type I extreme value (“x”).
optmethod = arg
Optimization method: “bfgs” (BFGS); “newton” (Newton-Raphson), “opg” or “bhhh” (OPG or BHHH), “legacy” (EViews legacy).
Newton-Raphson is the default method.
optstep = arg
 
Step method: “marquardt” (Marquardt); “dogleg” (Dogleg); “linesearch” (Line search).
Marquardt is the default method.
cov=arg
Covariance method: “ordinary” (default method based on inverse of the estimated information matrix), “huber” or “white” (Huber-White sandwich methods)., “cr” (cluster robust).
covinfo = arg
Information matrix method: “opg” (OPG); “hessian” (observed Hessian - default).
(Applicable when non-legacy “optmethod=”).
df
Degree-of-freedom correct the coefficient covariance estimate.(For non-cluster robust methods estimated using non-legacy estimation).
h
Huber-White quasi-maximum likelihood (QML) standard errors and covariances.
(Legacy option applicable when “optmethod=legacy”).
crtype=arg (default “cr1”)
Cluster robust weighting method: “cr0” (no finite sample correction), “cr1” (finite sample correction), when “cov=cr”.
crname=arg
Cluster robust series name, when “cov=cr”.
m=integer
Set maximum number of iterations.
c=scalar
Set convergence criterion. The criterion is based upon the maximum of the percentage changes in the scaled coefficients. The criterion will be set to the nearest value between 1e-24 and 0.2.
s
Use the current coefficient values in “C” as starting values (see also param).
s=number
Specify a number between zero and one to determine starting values as a fraction of EViews default values (out of range values are set to “s=1”).
showopts / ‑showopts
[Do / do not] display the starting coefficient values and estimation options in the estimation output.
coef=arg
Specify the name of the coefficient vector (if specified by list); the default behavior is to use the “C” coefficient vector.
prompt
Force the dialog to appear from within a program.
p
Print results.
Examples
The command:
eq1.censored(cov=huber) hours c wage edu kids
estimates a censored regression model of HOURS on a constant, WAGE, EDU, and KIDS with QML standard errors. This command uses the default normal likelihood, with left-censoring at HOURS=0, no right censoring, and the quadratic hill climbing algorithm.
Cross-references
See “Discrete and Limited Dependent Variable Models” for discussion of censored and truncated regression models.