`immigration_der` and not applicable

[yulric]

Describe the bug

immigration_der is a categorical variable with the following categories:

• White Canada born
• Non-white Canada born
• White immigrant, 0 - 9 years in Canada
• Non-white immigrant, 0 - 9 years in Canada
• White immigrant, 10+ years in Canada
• Non-white immigrant, 10+ years in Canada
• missing
• not applicable

This issue is regarding the last category not applicable and how individuals are possible being incorrectly marked as not applicable

immigration_der is derived from the following variables:

1. Immigrant status
2. Country of birth
3. Ethnicity
4. Length of time in Canada since immigration

Individuals who are not immigrants (Canadian citizens) but who are born outside of Canada are being marked as not applicable which does not seem right to me since this variable is still applicable. I'm not sure what the solution is but here are some:

1. Add a new category "Citizen born outside of Canada"
2. Lump them into one of the other categories but I'm not sure which one....

To Reproduce

You can test this by running the following code. Make sure to source the function immigration_fun which is in the R file R/immigration.R

print("Should print NA(a)")
# White citizens born outside of Canada
print(immigration_fun(2, 2, 1, "NA(a)"))
# Non-white citizens born outside of Canada
print(immigration_fun(2, 2, 2, "NA(a)"))

[yulric]

After discussion at our cchsflow meeting, we've decided to add two new categories to this variable, White Canadians born outside of Canada and Non-white Canadians born outside of Canada. There was concern that the number of individuals in these categories would be very low in which case we would also create a new variable which lumps these people into the Canada born categories. Specifically, White Canadians born outside of Canada would be lumped in with White Canada born and Non-white Canadians born outside of Canada would be lumped in with Non-white Canada born. @yulric will first look at the proportion and n of the individuals in these new categories before making that decision.