Bookmark and Share

Notice: On March 31, it was announced that Statalist is moving from an email list to a forum. The old list will shut down on April 23, and its replacement, statalist.org is already up and running.


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

st: Re:


From   Yuval Arbel <yuval.arbel@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   st: Re:
Date   Sat, 26 Nov 2011 16:09:38 +0200

David,

You can simply use Difference in Difference (DD) analysis:

Run a regression on the group of managers who take the first (second)
approach. Then predict what would have happened to the performance of
each manager in the case that he/she takes the other approach and use
the -ttest- to see whether the difference is significant.

Note to define dummy variables in any case that variables are ordinal,
i.e., the numerical values have no quantitative meaning

I use this approach quite often. You can look at the second part of my
following paper published in RSUE:

Arbel, Yuval; Ben Shahar,Danny; Gabriel, Stuart  and Yossef Tobol:
"The Local Cost of Terror: Effects of the Second Palestinian Intifada
on Jerusalem House Prices".Regional Science and Urban Economics (2010)
40:  415-426

On Sat, Nov 26, 2011 at 12:11 PM, David Ashcraft
<ashcraftd@rocketmail.com> wrote:
> Hi Statalist,
>
> This is more like an econometric than a Stata question. I am little lost on the following scenario:
>
> The situation is: I want to measure the performance of managers, who has a specific approach against those who do not. I have several individual managers in each category. One way is to regress the performance of these managers against their benchmark for the whole data using
> -regress manager benchmark, by(belief)
> The second option is to run individual regression on each manager and get the coefficients of individual regressions and run a ttest alpha, by(belief) .
>
>
> Now the question is, how different is the result from the ttest of alpha from that of the alpha of the regression equation.
> Any help will be really appreciated.
>
> If anyone can suggest an academic paper on similar scenarios, that would be a great help.
>
>
> David
>
> *
> *   For searches and help try:
> *   http://www.stata.com/help.cgi?search
> *   http://www.stata.com/support/statalist/faq
> *   http://www.ats.ucla.edu/stat/stata/
>



-- 
Dr. Yuval Arbel
School of Business
Carmel Academic Center
4 Shaar Palmer Street, Haifa, Israel
e-mail: yuval.arbel@gmail.com

*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/


© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   Site index