lukeholman

library(ggplot2)

# Here, I use 'Kim' as shorthand for all names that differ in gender association between the local and immigrant population
# For simplicity I assume Kim is an equally common name in both countries
expand.grid(
  p_kim_local = c(0.001, 0.01, 0.05, 0.1), # True proportion of locally-born people named Kim
  p_male_kim_immigrants = 0.90, # pTrue roportion males among foreign-born people named Kim:
  p_male_kim_locals = 0.10, # True proportion males among locally-born people named Kim:
  p_male_kim_GENDERIZE = seq(0.1, 0.9, length = 11), # worldwide estimate for gender of people named Kim from Genderize.io
  p_immigrants = seq(0, 0.5, length = 11), # True proportion of researchers who are immigrants