In the Gale-Shapley algorithm, there is an asymmetry between the two genders. One gender (typically the male) is proposing while the other is choosing. The resulting matching is the optimal stable matching for each member of the proposing gender, so I would think it makes a huge difference for your expected level of satisfaction if you belong to the proposing gender or the choosing gender.
Are your statistics about both genders or just one of them? In either case, I would love to see separate statistics for the two genders.
I would think it makes a huge difference for your expected level of satisfaction if you belong to the proposing gender or the choosing gender.
For the simulations I ran, it was a pretty small difference, with the proposing gender typically (but not always) having an edge. Rerunning it now (with corr=0), I get an average other-satisfaction of 23.89 for proposers and 23.77 for reviewers.
Congratulations on getting married!
In the Gale-Shapley algorithm, there is an asymmetry between the two genders. One gender (typically the male) is proposing while the other is choosing. The resulting matching is the optimal stable matching for each member of the proposing gender, so I would think it makes a huge difference for your expected level of satisfaction if you belong to the proposing gender or the choosing gender.
Are your statistics about both genders or just one of them? In either case, I would love to see separate statistics for the two genders.
Thanks!
For the simulations I ran, it was a pretty small difference, with the proposing gender typically (but not always) having an edge. Rerunning it now (with
corr=0), I get an average other-satisfaction of 23.89 for proposers and 23.77 for reviewers.