📄 y_heckman.hlp
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{smcl}
{p 0 4}
{help contents:Top}
> {help y_stat:Statistics}
> {help y_est:Estimation}
> {help y_est0:Regression models}
{bind:> {bf:Selection models}}
{p_end}
{hline}
{title:Help file listings}
{p 4 8 4}
{bf:{help heckman:Linear regression estimation with selection}}{break}
Heckman selection model; both two-step consistent estimator and
full maximum likelihood available
{p 4 8 4}
{bf:{help heckprob:Probit estimation with selection}}{break}
maximum-likelihood estimator
{p 4 8 4}
{bf:{help treatreg:Treatment effects model}}{break}
Endogenously chosen binary treatment on another endogenously chosen
binary treatment or another endogenous continuous variable;
Heckman's two-step
consistent estimator and full maximum likelihood
{p 4 8 4}
{bf:{help tobit:Tobit regression}}{break}
left censored, right censored, or left and right censored
with fixed censoring values
{p 4 8 4}
{bf:{help cnreg:Censored-normal regression}}{break}
left censored, right censored, or left and right censored
where censoring values may vary observation to observation
{p 4 8 4}
{bf:{help intreg:Interval regression}}{break}
a generalization of Tobit, linear regression with data recorded
in intervals or bins
INCLUDE help ypostnote
{hline}
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