help erepost
-------------------------------------------------------------------------------

Title

    erepost -- Repost the estimation results


Syntax

        erepost [b = b] [V = V] [, cmd(string) rename [no]esample[(varname)]
                ereturn_post_opts ]

    where b is a 1 x p coefficient vector (matrix) and V is a p x p
    covariance matrix.


Description

    erepost changes the b or V matrix of the current estimation results or
    changes the declared estimation sample. erepost is similar to ereturn
    repost. However, erepost is allowed after estimation commands that do not
    post their results using ereturn post (e.g. logit) and erepost can be
    used outside of eclass programs (see help program).

    Technical note: After applying erepost the original command (or estimates
    replay) may not be able to replay the output.


Options

    cmd(string) sets the e(cmd) macro.

    rename causes the names from the coefficient vector to be used as the
        labels for both the coefficient vector and the covariance matrix in
        case of name conflicts.

    esample(varname) gives the name of the 0/1 variable indicating the
        observations involved in the estimation. The variable is removed from
        the data but is available for use as e(sample). Specify noesample if
        you want to remove e(sample) from the estimation results.

    ereturn_post_opts are any other options allowed with ereturn post (see
        help ereturn).


Examples

    Say, you are estimating a regression model that contains all interactions
    between the regressors and a binary variable and you want to display the
    main effects and the interaction effects in two columns side by side. One
    approach is to modify the names in e(b) and e(V) so that there is a "main
    equation" and an "interaction equation" and then tabulate the model using
    estout or esttab with the unstack option. Example (you will need the
    estout package to run this example; type ssc describe estout):

        . sysuse auto
        (1978 Automobile Data)
        
        . generate foreign_mpg = foreign*mpg
        
        . generate foreign_weight = foreign*weight
        
        . quietly regress price foreign_mpg foreign_weight foreign mpg weight
        
        . matrix b = e(b)
        
        . matrix coleq b = foreign foreign foreign main main main
        
        . matrix colname b = mpg weight _cons mpg weight _cons
        
        . erepost b=b, rename
        
        . esttab , unstack order(main: foreign:)
        
        --------------------------------------------
                              (1)                   
                            price                   
                             main         foreign   
        --------------------------------------------
        mpg                 237.7          -257.5   
                           (1.90)         (-1.66)   
        
        weight              4.415***        0.741   
                           (5.18)          (0.45)   
        
        _cons            -13285.4*         8219.6   
                          (-2.58)          (1.13)   
        --------------------------------------------
        N                      74                   
        --------------------------------------------
        t statistics in parentheses
        * p<0.05, ** p<0.01, *** p<0.001


Author

    Ben Jann, ETH Zurich, jann@soz.gess.ethz.ch


Also see

    Online:  ereturn, estcom, estimates