自己找一个数据
用哪些命令执行一下，然后比较一下大小就知道了。

另外，你需要看命令的help或者manual，里面都是有介绍和解释的。

Syntax for predict

    For all but the population-averaged model

        predict [type] newvar [if] [in] [, statistic nooffset]


    Population-averaged model

        predict [type] newvar [if] [in] [, PA_statistic nooffset]


    statistic      Description
    -------------------------------------------------------------------------------------------------------
    Main
      xb           xb, fitted values; the default
      stdp         calculate standard error of the fitted values
      ue           u_i + e_it, the combined residual
    * xbu          xb + u_i, prediction including effect
    * u            u_i, the fixed- or random-error component
    * e            e_it, the overall error component
    -------------------------------------------------------------------------------------------------------
    Unstarred statistics are available both in and out of sample; type predict ... if e(sample) ... if
      wanted only for the estimation sample.  Starred statistics are calculated only for the estimation
      sample, even when if e(sample) is not specified.


    PA_statistic   Description
    -------------------------------------------------------------------------------------------------------
    Main
      mu           probability of depvar; considers the offset()
      rate         probability of depvar
      xb           calculate linear prediction
      stdp         calculate standard error of the linear prediction
      score        first derivative of the log likelihood with respect to xb
    -------------------------------------------------------------------------------------------------------
    These statistics are available both in and out of sample; type predict ... if e(sample) ... if wanted
      only for the estimation sample.


Menu

    Statistics > Postestimation > Predictions, residuals, etc.


Options for predict

        +------+
    ----+ Main +-------------------------------------------------------------------------------------------

xb calculates the linear prediction, that is, a + bx_it.  This is the default for all except the population-averaged model.

    stdp calculates the standard error of the linear prediction.  For the fixed-effects model, this   excludes the variance due to uncertainty about the estimate of u_i.

    mu and rate both calculate the predicted probability of depvar.  mu takes into account the offset(), and rate ignores those adjustments.  mu and rate are equivalent if you did not specify offset().   mu is the default for the population-averaged model.

    ue calculates the prediction of u_it + e_it.

    xbu calculates the prediction of a + bx_it + u_i, the prediction including the fixed or random  component.

    u calculates the prediction of u_i, the estimated fixed or random effect.

    e calculates the prediction of e_it.

    score calculates the equation-level score.

    nooffset is relevant only if you specified offset(varname) for xtreg.  It modifies the calculations
        made by predict so that they ignore the offset variable; the linear prediction is treated as xb
        rather than xb + offset.

恩，好的，谢谢指点

您好！我想知道获得残差后，如何分析残差的信息？用什么方法？如何看。谢谢！

我和楼主的问题一样，到底最后用的什么命令啊，看不懂

predict res , e 用来计算残差，其中res是可以随便起的一个名字  只要自己知道这个是残差就行，这个就是在面板数据模型中求残差的方法