y_estover.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 56 行

{smcl}
{p 0 4}
{help contents:Top}
> {help y_stat:Statistics}
> {help y_est:Estimation}
{bind:> {bf:Overview}}
{p_end}
{hline}

{title:Help and category listings}

{p 4 8 4}
{bf:{help estcom:Overview}}{break}
    There are 13 features in common

{p 4 8 4}
{bf:{help estimation_commands:Index}}{break}
    an index of the estimation commands

{p 4 8 4}
{bf:{help estimation_options:Estimation options}}{break}
    options common to many estimation commands

{p 4 8 4}
{bf:{help vce_option:Variance-covariance estimators}}{break}
    the {cmd:vce()} option to many estimation commands for estimating
    the variance-covariance matrix

{p 4 8 4}
{bf:{help stepwise:Stepwise estimation}}{break}
    the {cmd:sw} prefix can be used with most estimation commands

{p 4 8 4}
{bf:{help xi:Interaction expansion}}{break}
    the {cmd:xi} prefix makes it easy to specify A*B terms

{p 4 8 4}
{bf:{help constraint:Constrained estimation}}{break}
    Most estimation commands allow constrained estimation

{p 4 8 4}
{bf:{help y_postest:Postestimation commands}}{break}
    after estimation you can test linear & nonlinear hypotheses,
    obtain VCE, display marginal effects, obtain predictions, and more

{p 4 8 4}
{bf:{help maximize:Details of iterative maximization}}{break}
    specifying common options with estimators obtained by maximum likelihood

{p 4 8 4}
{bf:{help mkspline:Linear spline construction}}{break}
    {cmd:mkspline age1 40 age2 55 age3 65 = age} creates new variables
    age1, age2, and age3 containing a linear spline of age

{hline}