📄 y_mecstslnonc.hlp
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{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}
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