Are you able to estimate from your results what Holman et al.'s real misclassification rate is? I'll wager it's on the order of 0.5-1%, but it'd be great to know for sure. I know 372 unique names is not many, and the original plan was to contact authors to collect more manually assigned name-gender datasets, as you have done here. However, the groups I contacted for data did not respond, though th...

Hi, useful and interesting study!

About this comment: I (author of the Holman et al reference) do realise that many academics (me included) work in countries in which they were not born. However the majority DO work where they were born, so I decided it was best to use the name-country associations where known. To see why, let's use the example that in Denmark, Kim is a name most often used by...