Skip to main content
11 events
when toggle format what by license comment
Mar 16, 2017 at 4:47 comment added Neil G This easily opens up confounders. For example, maybe one gender tends to be brought in to manage failing companies, and so that gender will appear to have poorer performance.
Mar 16, 2017 at 0:30 comment added A.Dabch For my event study, I has to get event dates and match them to my original database. Since I had to create 4 groups for my event study: Women CEO in Conglomerate vs Men CEO in Conglomerate, and Women CEO in Stand alone vs Men CEO in Stand alone, I could only identify 4 Women CEO in the conglomerate type and none serving as CEO in Stand Alone. So basically using event dates is out of the solution.
Mar 16, 2017 at 0:30 comment added A.Dabch Let me try to be more specific: I am trying to analyse the impact of having a female CEO (vs Male) on the value of a firm considered a conglomerate (i.e a firm with more than 1 Business segment) vs impact of women CEO (vs Male CEO) on value of firm that is a Stand alone (firm with 1 Business Unit). so the comparaison is double, Women vs Male CEO (dummy variable) and within that, conglomerate vs stand alone. In this part, I did regression OLS, Fixed effect and I had 260 Women CEO but no event date (appointement date) just the fiscal year for the company.
Mar 15, 2017 at 23:53 comment added salient Or do you have a snapshot at the end of the sample?
Mar 15, 2017 at 23:52 comment added salient I have def seen studies doing that on yearly data. But if your sample size is too slow - bummer. But curious - do you only have 4 female ceos in total? Or am I missing something?
Mar 15, 2017 at 23:47 comment added A.Dabch Can i do that with annual data? Like I mentioned in my answer just above, I could not get enough announcement dates (date of appointment of a CEO) for the female CEOs in the conglomerate firms. So I could not identify the appointment of the Women CEOs
Mar 15, 2017 at 23:36 comment added salient This is related to the concept of Granger causality
Mar 15, 2017 at 23:35 comment added salient My point is if e.g. female is appointed at time t => performance goes up at time t+1, …, t+n, but performance goes up at time t =/> female is appointed at time t+1, …, t+n
Mar 15, 2017 at 23:30 comment added A.Dabch What do you mean by look and see if the appointment of a CEO of a certain gender is followed by a higher performance?
Mar 15, 2017 at 23:18 review First posts
Mar 16, 2017 at 0:14
Mar 15, 2017 at 23:14 history answered salient CC BY-SA 3.0