Object Reference : Object View and Procedure Reference : Equation
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.
eq_name.censored(options) y x1 [x2 x3]
eq_name.censored(options) specification
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.
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.
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=”).
Degree-of-freedom correct the coefficient covariance estimate.(For non-cluster robust methods estimated using non-legacy estimation).
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”.
Cluster robust series name, when “cov=cr”.
Set maximum number of iterations.
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.
Use the current coefficient values in “C” as starting values (see also param).
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.
Specify the name of the coefficient vector (if specified by list); the default behavior is to use the “C” coefficient vector.
Force the dialog to appear from within a program.
Print results.
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.
See “Discrete and Limited Dependent Variable Models” for discussion of censored and truncated regression models.