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Re: st: speeding up qreg


From   Nick Cox <njcoxstata@gmail.com>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   Re: st: speeding up qreg
Date   Fri, 14 Jun 2013 15:39:24 +0100

Various kinds of solutions to "speeding up"

1. Sporting: Shout encouraging or abusive comments at the machine.
Wear colourful and/or outrageous clothing and drink and eat to
moderate excess.

2. Religious: Perhaps beyond the scope of this list.

3. Engineering: Get a bigger machine. Close down competing applications

4. -sqreg- ???

Nick
njcoxstata@gmail.com


On 14 June 2013 15:28, Kuziemko, Ilyana <ik2216@columbia.edu> wrote:

>
> I am trying to estimate the difference in the cost distributions of two
> different groups (group_a and group_b) for several different percentiles.
> The only complication is that I need to control for about 280 fixed
> effects, so I want the difference in the distributions netting out these
> effects.  I have about 1.4 million observations.
>
> Right now, I am estimating:
>
> forval x=.1(.1).9 {
> qreg cost group_a `list of fixed-effects' , quantile(`x')
> }
>
> Then I'll plot the _b[group_a] values for each value of `x'.
>
> Is there a way to speed up this calculation (which is currently taking
> forever)?  I just want to give a rough sense of where in the distribution
> the cost differences between these two groups are largest.  I am not going
> to use the standard errors at all and wonder if, perhaps, there was a way
> to speed up the regression in that case.
>
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