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Re: st: RE: Plot estimates and ci from two regressions in one graph


From   Nick Cox <njcoxstata@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: RE: Plot estimates and ci from two regressions in one graph
Date   Thu, 21 Jun 2012 09:18:03 +0100

I see here { { } } which looks fine to me.

But the code won't run unless various user-written programs have been
installed previously.

Nick

On Thu, Jun 21, 2012 at 9:13 AM, Muhammad Anees <anees@aneconomist.com> wrote:

> Thanks for the nice effort,
>
> but the code will work smoothly and only if "}" a used a once.

On Thu, Jun 21, 2012 at 1:06 PM, Nikolaos Kanellopoulos

>> Tirthankar thank you very much for the suggestion to use marginsplot (it never crossed my mind).
>>
>> Since I had something more specific in my mind I tried to utilize the flexibility of Stata and its tw command and I think I found a solution to my problem.
>> If anybody has anything to add in order to improve the following code is more than welcome.
>>
>> Nikos
>>
>>
>> *-----------------------------------------------------------------------------------------------------------------
>>
>> sysuse auto, clear
>> levelsof for, local(a)
>> tempfile file
>>
>> foreach i of local a {
>>     sysuse auto, clear
>>     count if for==`i'
>>
>>         if r(N)>=1 {
>>             regress mpg c.(rep78 headroom trunk weight) if for==`i'
>>             parmest, norestore
>>             egen axis= axis(estimate), label(parm)
>>             gen for=`i'
>>             capture append using `file'
>>             save `file', replace
>>             local kk=`i1'+1
>> }
>> }
>>
>> gsort axis -for
>> gen order=_N-_n
>>
>> label define jj    1 "_cons"    3 "rep78" 5 "headroom"    ///
>>                 7 "weight" 9 "trunk"
>> label value order  jj
>>
>> twoway ///
>> (scatter order est if for==1, msymbol(circle))            ///
>> (scatter order est if for==0, msymbol(T))               ///
>> (rcap min95 max95 order, horizontal ),                  ///
>> ylabel(1(2)9, valuelabel angle(0)) ytitle("")            ///
>> legend(order (1 2) label(1 "for==1") label(2 "for==0"))    ///
>> xtitle("Coefficients and confidence interval")
>> *-----------------------------------------------------------------------------------------------------------------

From: Tirthankar Chakravarty <tirthankar.chakravarty@gmail.com>

>> -marginsplot- is very powerful for these kinds of problems.
>>
>> *------------------------------------------------------------------------
>> sysuse auto, clear
>> reg mpg i.foreign##c.(rep78 headroom trunk weight)
>> margins, dydx(*) over(foreign)
>> marginsplot, xdim(_deriv)
>> *------------------------------------------------------------------------
>>
>> Note however that without standardizing the variables, you might not
>> be able to make out the variations in coefficients across  groups.
>>
>> T
>>

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