Bookmark and Share

Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at

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

Re: st: Re: very small sample comarsion

From   Ronan Conroy <>
To   "" <>
Subject   Re: st: Re: very small sample comarsion
Date   Sat, 26 Feb 2011 16:23:36 +0000

On 26 Feb 2011, at 13:51, ajjee wrote:

> Thanks Mr.Ronan for reply
> I've panel data of near 50 firms for 15 years. I want to anlyse the
> performance of CEO of each firm.

Are you sure? I don't think that the individual performance of each CEO is interesting. I think that the interesting thing is the arrival of a new CEO. 

So your data structure is that you have, as your predictor variable, the time since the new CEO took over, and as a predicted variable you have the change in CAR for that year. Or something like that – I'm not an economist (and clearly no-one in Ireland is!). Your data are clustered by company. Or so it seems from your description of your hypothesis. Certainly, analysing each individual CEO won't get you any nearer to it.  

> Each CEO has 3 or 5 years in office. So I
> have many indicators from the company's balance sheet and I want to check
> improvement/distortion in these indicators before and after a new CEO comes.
> Suppose I want to analsye capital to assets ratio (CAR), for this purpose I
> computed 3/5 year average of CAR and then compare these averages before and
> after the new CEO appointment. But it is very crude measure to evaluate the
> performance.  About the independence of the samples, the firms are
> independent, of course, but within firm, sample are not independent.

Ronán Conroy
Associate Professor
Division of Population Health Sciences
Royal College of Surgeons in Ireland
Beaux Lane House
Dublin 2

*   For searches and help try:

© Copyright 1996–2018 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   Site index