y_e_centr.hlp

来自「是一个经济学管理应用软件 很难找的 但是经济学学生又必须用到」· HLP 代码 · 共 40 行

{smcl}
{p 0 4}
{help contents:Top}
> {help y_stat:Statistics}
> {help y_est:Estimation}
> {help y_est0:Regression models}
> {help y_e_linreg:Linear regression & related}
{bind:> {bf:Censored and truncated regression}}
{p_end}
{hline}

{title:Help file listings}

{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 ivtobit:Tobit regression with endogenous regressors}}{break}
    maximum-likelihood or Newey's minimum chi-squared estimator

{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

{p 4 8 4}
{bf:{help truncreg:Truncated regression}}{break}
    estimates a regression model from a sample drawn on a restricted part
    of the population

INCLUDE help ypostnote
{hline}