📄 y_mecstslreg.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:Linear regression & related}}
{p_end}
{hline}
Notation
{bf:FE} Fixed effects
{bf:RE} Random effects
{bf:BE} Between effects
{bf:PA} Population averaged
{title:Help file listings}
{p 4 8 4}
{bf:{help xtreg:Linear regression: FE, BE, RE, and PA}}{break}
{cmd:xtreg} includes both GLS and MLE estimators
{p 4 8 4}
{bf:{help xtmixed:Multilevel mixed-effects linear regression}}{break}
{cmd:xtmixed} fits linear mixed models.
{p 4 8 4}
{bf:{help xtregar:Linear regression with AR(1) disturbances: FE and RE}}{break}
handles unbalanced, unequally spaced data
{p 4 8 4}
{bf:{help xtivreg:Instrumental variables (two-stage least squares): FE, BE, and RE}}{break}
estimates BE, FE, and RE; RE by G2SLS or ECSLS
{p 4 8 4}
{bf:{help xtabond:Arellano-Bond estimation}}{break}
linear, dynamic panel data estimator
{p 4 8 4}
{bf:{help xthtaylor:Hausman-Taylor estimator for error-components models}}{break}
covariates correlated with individual-level random effect
{p 4 8 4}
{bf:{help xtfrontier:Stochastic frontier models for panel-data}}{break}
stochastic production or cost frontier models for panel-data
{p 4 8 4}
{bf:{help xtrc:Random coefficients regression}}{break}
Swamy's random coefficients linear regression model for panel data
INCLUDE help ypostnote
{hline}
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