Created
November 17, 2023 11:03
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Check JPN old age mort using census denominators
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library(tidyverse) | |
pop <- read_csv("Data/JPNpop.csv") | |
Exp <- | |
pop |> | |
filter(Type == "C", | |
Year > 1970, | |
Age != "TOT") |> | |
select(Sex, Year, Age, Population) |> | |
group_by(Sex, Year) |> | |
mutate(UNK = ifelse(any(Age == "UNK"), Population[Age == "UNK"], 0)) |> | |
filter(Age != "UNK") |> | |
mutate(Population = Population + Population / sum(Population) * UNK) |> | |
ungroup() |> | |
mutate(Age = as.integer(Age)) | |
deaths <- | |
read_csv("Data/JPNdeaths.csv")|> | |
filter(LDB == 1, | |
Year > 1970) |> | |
group_by(Sex, Year, Age) |> | |
summarize(Deaths = sum(Deaths)) |> | |
select(Sex, Year, Age, Deaths) |> | |
mutate(Year = as.integer(Year)) |> | |
group_by(Sex, Year) |> | |
mutate(UNK = Deaths[Age == "UNK"]) |> | |
filter(Age != "UNK") |> | |
mutate(Deaths = Deaths + Deaths / sum(Deaths) * UNK) |> | |
ungroup() |> | |
select(-UNK) |> | |
mutate(Age = as.integer(Age)) | |
test <- | |
left_join(Exp, deaths, by = join_by(Sex, Year, Age)) | |
test |> | |
mutate(Mx = Deaths / Population) |> | |
filter(between(Age, 90,99)) |> | |
ggplot(aes(y = Mx, x = Year, color = Age, group = Age)) + | |
geom_line() + | |
facet_wrap(~Sex) + | |
labs(title = "Mx ages 90-99 also show a breakpoint in 2000 when using census denominators") |
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