# devtools::install_github("bjornerstedt/scbapi")
library(scbapi)
library(tidyr)
library(dplyr)
library(stringr)
library(jsonlite)
library(httr)
source("drugs_methods.R")
# Set to TRUE to download and save data as json files
# If FALSE, it uses the saved data files instead
get_data <- TRUE
# switch(Sys.info()[['sysname']],
# Windows= {setwd("C:/Users/n13017/Dropbox/Projects/Drugs/original_data/scb") },
# Darwin = {setwd("~/Dropbox/Projects/Drugs/original_data/scb")})
# Population
pop <- get_scb("pop", get_data) %>%
group_by(Tid, Kon) %>%
summarise(value = sum(value)) %>%
spread(Kon, value) %>%
select(year=Tid, popwomen = kvinnor, popmen = män) %>%
ungroup() %>%
mutate(year = as.numeric(year))
# CPI
cpi <- get_scb( "cpi1", get_data) %>%
bind_rows(get_scb("cpi2", get_data) ) %>%
separate(Tid, c("year", "month"), sep = "M", convert = TRUE)%>%
rename(cpi = value)
# Real GDP
gdp <- get_scb("gdpreal", get_data, returnList = TRUE) %>%
rename(gdp = value) %>%
separate(Tid, c("year", "quarter"), sep = "K", convert = TRUE) %>%
na.omit
# Sick leave, pre 2005
sick1 <- get_scb("sick1", get_data)
sick2 <- get_scb("sick2", get_data) %>%
mutate(
value = 10 * value
)
sick <- bind_rows(sick1, sick2) %>%
separate(Tid, c("year", "month"), sep = "M", convert = TRUE) %>%
spread(Kon, value) %>%
rename(sw = kvinnor, sm = män)
################## Combine Data ####################
scbdata <- cpi %>%
mutate(quarter = (month - 1) %/% 3 + 1) %>%
left_join(gdp, by=c("year","quarter")) %>%
left_join(pop, by="year") %>%
left_join(sick, by=c("year", "month")) %>%
select(-quarter)
saveRDS(scbdata, get_path("original_data/scbdata.Rds") )
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