Marina Azzimonti wrote:
Alessandra Fogli, Veronica Guerrieri and I are organizing a "Women in Macro" conference. We did one last year and besides talking about economics, we like to have a short session to discuss gender issues in general. One topic that often arises is that women have a harder time "networker" than men do.
One way to test this theory is to compare network characteristics of males and females. I noticed you guys at RePec (and Thomas at CollEC) have constructed a nice dataset which would allow to check this out. From what I see online, for each person on RePEC/Ideas you compute closeness and betweenness. Of course one would like to control for characteristics such as time since graduation, and perhaps sort by "quality". I see that it is possible to download a lot of this online, but I was wondering if you had an organized dataset already constructed you could share with me. This would save us a ton of time.
What I think we would need is:
- Name and Last name - Repec id - Affiliation - PhD year - Location (thta is, are they US or not, etc) - Network measures: closeness and betweenness (rank and value) - Gender - Various ranking measures - # of publications - fields - this is a stretch: list of coauthors
I am not sure if there is any other information available, but this is what I see appears online.
I could write a script to get the data from the site, but only the top 10% is available I believe.
Anyways, let me know if this (or a subset of this) would be feasible. I think if we find something interesting it would be good to promote the ideas and CollEc datasets. Not many people knows about the network data and I can foresee a lot of interesting applications with it.
I can deliver the full CollEc data via rsync. I just set it up krichel@trabbi~/collec$ rsync -va rsync://collec.repec.org/table collec.txt receiving incremental file list created directory collec.txt ./ CollEc.txt sent 46 bytes received 8,097,988 bytes 2,313,724.00 bytes/sec total size is 8,095,907 speedup is 1.00 This tabular data. It updated every day. I already deliver full path data to Nikos. It's bulky icanis@katri:~/icanis/paths/ras$ du -s biwe 140757804 biwe If you make it to the city before Mach, we could meet. Or if you can pay my LIRR tickets, I can come to Stony Brook and give a talk about this work. -- Cheers, Thomas Krichel http://openlib.org/home/krichel skype:thomaskrichel