order logit在面板数据下应如何实现

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在界面数据下，有序的离散变量模型，我们常采用order logit回归模型，请问该命令如果是在面板数据下，应如何实现？谢谢

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关键词：Order logit 面板数据 如何实现 der 如何 模型

顶一下，有没有朋友帮忙回答一下

stata还没有相关命令
你查查帮助就可以看到stata能做什么了


    [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):

        xtset        Declare a dataset to be panel data
        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

        xtreg        Fixed-, between- and random-effects, and population-averaged linear models
        xtregar      Fixed- and random-effects linear models with an AR(1) disturbance
        xtmixed      Multilevel mixed-effects linear regression
        xtgls        Panel-data models using GLS
        xtpcse       OLS or Prais-Winsten models with panel-corrected standard errors
        xtrc         Random coefficients models
        xtivreg      Instrumental variables and two-stage least squares for panel-data models

        xtunitroot   Panel-data unit-root tests

        xtabond      Arellano-Bond linear dynamic panel-data estimator
        xtdpdsys     Arellano-Bond/Blundell-Bond estimation
        xtdpd        Linear dynamic panel-data estimation

        xttobit      Random-effects tobit models
        xtintreg     Random-effects interval-data regression models

        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

        xtpoisson    Fixed-effects, random-effects, & population-averaged Poisson models
        xtnbreg      Fixed-effects, random-effects, & population-averaged negative binomial models

        xtmelogit    Multilevel mixed-effects logistic regression
        xtmepoisson  Multilevel mixed-effects Poisson regression

        xtgee        Population-averaged panel-data models using GEE

    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 their own help file entries.  This
    entry deals with concepts common across commands.

    The xtset command sets the panel variable and the time variable.  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.

顶一下，有没有朋友可以帮助我回答一下啊