不能三阶段
两阶段,看帮助里面啊。能做什么手册和帮助里面说的很明确。
已经明确写了。
Title
[XT] xt -- Introduction to xt commands
Syntax
xtcmd ...
Description
The xt series of commands provide tools for analyzing panel data (also known as longitudinal data or in some
disciplines as cross-sectional time series when there is an explicit time component). Panel datasets have the
form x_[it], where x_[it] is a vector of observations for unit i and time t. The particular commands (such as
xtdescribe, xtsum, and xtreg) are documented in alphabetical order in the entries that follow this entry. If you
do not know the name of the command you need, try browsing the second part of this description section, which
organizes the xt commands by topic. Remarks and examples of [XT] xt describes concepts that are common across
commands.
The xtset command sets the panel variable and the time variable; see [XT] xtset. Most xt commands require that the panel variable be specified, and some require that the time variable also be specified. Once you xtset your data, you need not do it again. The xtset information is stored with your data.
If you have previously tsset your data by using both a panel and a time variable, these settings will be
recognized by xtset, and you need not xtset your data.
If your interest is in general time-series analysis, see [U] 26.17 Models with time-series data and the
Time-Series Reference Manual. If your interest is in multilevel mixed-effects models, see the Multilevel
Mixed-Effects Reference Manual.
Setup
xtset Declare data to be panel data
Data management and exploration tools
xtdescribe Describe pattern of xt data
xtsum Summarize xt data
xttab Tabulate xt data
xtdata Faster specification searches with xt data
xtline Line plots with xt data
Linear regression estimators
xtreg Fixed-, between- and random-effects, and population-averaged linear models
xtregar Fixed- and random-effects linear models with an AR(1) disturbance
xtgls Panel-data models using GLS
xtpcse Linear regression with panel-corrected standard errors
xthtaylor Hausman-Taylor estimator for error-components models
xtfrontier Stochastic frontier models for panel data
xtrc Random-coefficients regression
xtivreg Instrumental variables and two-stage least squares for panel-data models
Unit-root tests
xtunitroot Panel-data unit-root tests
Dynamic panel-data estimators
xtabond Arellano-Bond linear dynamic panel-data estimation
xtdpd Linear dynamic panel-data estimation
xtdpdsys Arellano-Bover/Blundell-Bond linear dynamic panel-data estimation
Censored-outcome estimators
xttobit Random-effects tobit models
xtintreg Random-effects interval-data regression models
Binary-outcome estimators
xtlogit Fixed-effects, random-effects, & population-averaged logit models
xtprobit Random-effects and population-averaged probit models
xtcloglog Random-effects and population-averaged cloglog models
Ordinal-outcome estimators
xtologit Random-effects ordered logistic models
xtoprobit Random-effects ordered probit models
Count-data estimators
xtpoisson Fixed-effects, random-effects, & population-averaged Poisson models
xtnbreg Fixed-effects, random-effects, & population-averaged negative binomial models
Generalized estimating equations estimator
xtgee Population-averaged panel-data models using GEE
|