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Re: st: Putting Coefficients in the same column with esttab/estout


From   emanuele mazzini <madsoenistata@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Putting Coefficients in the same column with esttab/estout
Date   Thu, 28 Apr 2011 17:45:30 +0200

Yes, what you see is what I get with that, unfortunately.

2011/4/28 Johannes Geyer <JGeyer@diw.de>:
> did you try the option -order-?
>
> esttab ... , order(lagvar1 avg5fvar lagvar2 avg5gvar...)
>
> Johannes
>
>
>
>
> ----------------------
> Johannes Geyer
> Deutsches Institut für Wirtschaftsforschung (DIW Berlin)
> German Institute for Economic Research
> Department of Public Economics
> DIW Berlin
> Mohrenstraße 58
> 10117 Berlin
> Tel: +49-30-89789-258
>
> owner-statalist@hsphsun2.harvard.edu schrieb am 28/04/2011 16:55:52:
>
>> Dear all Stata users,
>> I have just finished running a lot of estimates that i have saved on
>> my computer with the command estwrite (after having stored them with
>> estimates store). Now it comes to make some tables, but with both the
>> commands esttab and estout I cannot let some coefficients stay in the
>> same column. I can be more precise with an example. What i get with
>> either esttab (or even estout) is:
>>
>>
>>
> ------------------------------------------------------------------------------------------------------------
>>                       (1)             (2)             (3)
>> (4)             (5)             (6)
>>
> ------------------------------------------------------------------------------------------------------------
>> lagpolity1          0.014***
>>                   (0.000)
>> lagpolity2          0.027***
>>                   (0.001)
>> avg5polity1
>> 0.015***
>>
>> (0.001)
>> avg5polity2
>> 0.028***
>>
>> (0.001)
>> lagfh1                              0.054***
>>                                   (0.002)
>> lagfh2                              0.123***
>>                                   (0.002)
>> avg5fh_opp1
>>              0.045***
>>
>>            (0.002)
>> avg5fh_opp2
>>              0.114***
>>
>>            (0.002)
>> lagchga1                                            0.112***
>>                                                   (0.007)
>> lagchga2                                            0.347***
>>                                                   (0.007)
>> avg5chga1
>>                              0.116***
>>
>>                            (0.007)
>> avg5chga2
>>                              0.352***
>>
>>                            (0.008)
>>
>>
>>
>> But what I'd like to get is the coefficients of all those that I call
>> avg5 below the coefficients of the lagged vars. In other words,
>> something like:
>>
>>
>>
> ------------------------------------------------------------------------------------------------------------
>>                       (1)             (2)             (3)
>> (4)             (5)             (6)
>>
> ------------------------------------------------------------------------------------------------------------
>> lagpolity1          0.014***
>>                   (0.000)
>> lagpolity2          0.027***
>>                   (0.001)
>> avg5polity1        0.015***
>>                   (0.001)
>> avg5polity2        0.028***
>>                   (0.001)
>> lagfh1                              0.054***
>>                                   (0.002)
>> lagfh2                              0.123***
>>                                   (0.002)
>> avg5fh_opp1                         0.045***
>>                                   (0.002)
>> avg5fh_opp2                         0.114***
>>                                   (0.002)
>> lagchga1                                            0.112***
>>                                                   (0.007)
>> lagchga2                                            0.347***
>>                                                   (0.007)
>> avg5chga1                                          0.116***
>>                                                    (0.007)
>> avg5chga2                                          0.352***
>>                                                    (0.008)
>>
>>
>> But obviously I do not want to run all the regressions again (it'd
>> take ages!!).
>>
>> Anyone can help me?
>>
>> Thanks to all of you for your time and consideration,
>>
>> Regards,
>>
>> Emanuele.
>> *
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