y_mecstslnonc.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 47 行

{smcl}
{p 0 4}
{help contents:Top}
> {help y_stat:Statistics}
> {help y_est:Estimation}
> {help y_mecsts:Cross-sectional time series}
> {help y_mecstsl:Appropriate for use with large n, small T}
{bind:> {bf:Categorical, count & limited dependent variable regression}}
{p_end}
{hline}

    Notation
        {bf:FE}   Fixed effects
        {bf:RE}   Random effects
        {bf:PA}   Population averaged


{title:Help file listings}

{p 4 8 4}
{bf:{help xtlogit:Logit:  FE, RE, and PA}}{break}
    binary outcome, panel data

{p 4 8 4}
{bf:{help xtcloglog:Conditional log-log:  RE and PA}}{break}
    binary outcome, panel data

{p 4 8 4}
{bf:{help xtprobit:Probit:  RE and PA}}{break}
    binary outcome, panel data

{p 4 8 4}
{bf:{help xtpoisson:Poisson regression:  FE, RE, and PA}}{break}
    count outcome, panel data

{p 4 8 4}
{bf:{help xtnbreg:Negative binomial regression:  FE, RE, and PA}}{break}
    count outcome, panel data

{p 4 8 4}
{bf:{help quadchk:Check sensitivity of quadrature approximation}}{break}
    verify solution in cases where RE estimated
    by quadrature approximation

INCLUDE help ypostnote
{hline}