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datamanagement_code.R
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#loading all packages--------------------------------------------------------------
library(tidyverse)
library(haven)
library(naniar)
library(lubridate)
library(zoo)
###################################################################################
#read in the data------------------------------------------------------------------
ZA5770 <- read_dta(file.path("data", "ZA5770.dta"))
ZA5320 <- read_dta(file.path("data","ZA5320.dta"))
ZA5321 <- read_dta(file.path("data","ZA5321.dta"))
ZA5322 <- read_dta(file.path("data","ZA5322.dta"))
#read in the data of birthmonths---------------------------------------------------
ZA5770_birth <- read_dta(file.path("data", "ZA5770_Birthmonth.dta"))
ZA5320_birth <- read_dta(file.path("data","20210830_Shikano_ZA5320_v2-0-0.dta"))
ZA5321_birth <- read_dta(file.path("data","20210830_Shikano_ZA5321_v2-1-0.dta"))
ZA5322_birth <- read_dta(file.path("data","20210830_Shikano_ZA5322_v1-1-0.dta"))
###################################################################################
###################################################################################
#preparing the data set: ZA5770.dta------------------------------------------------
ZA5770 <- ZA5770 %>% select(lfdn, jahr, j, k, l, m, n, jhhchild18, j60_2, n60_2,
j65a, j65b, j64a, j64b, m65a, m65b, m64a, m64b, j69a, n69a,
j69b, n69b, j70a, j70b, n70a, n70b,
jpidstrk, npidstrk, jpid_a, jpid_b, lfdn_lfp09)
ZA5770 <- ZA5770 %>% rename(PID_2013 = jpidstrk,
PID_2017 = npidstrk,
Teilnahme_2013 = j,
Teilnahme_2014 = k,
Teilnahme_2015 = l,
Teilnahme_2016 = m,
Teilnahme_2017 = n,
Unter_18 = jhhchild18,
Wahlbeteiligung_2013 = j60_2,
Wahlbeteiligung_2017 = n60_2)
#preparing the data set: ZA5320.dta------------------------------------------------
ZA5320 <- ZA5320 %>% select(id, cjahr, cpidstrk, dpidstrk, epidstrk)
ZA5320 <- ZA5320 %>% rename(lfdn = id,
PID_2002 = cpidstrk,
PID_2005 = dpidstrk,
PID_2009 = epidstrk)
#preparing the data set: ZA5321.dta------------------------------------------------
ZA5321 <- ZA5321 %>% select(lfdn, jahr, dpidstrk, epidstrk, fpidstrk, hpidstrk, jpidstrk)
ZA5321 <- ZA5321 %>% rename(PID_2005 = dpidstrk,
PID_2007 = epidstrk,
PID_2009 = fpidstrk,
PID_2011 = hpidstrk,
PID_2013 = jpidstrk)
#preparing the data set: ZA5322.dta------------------------------------------------
ZA5322 <- ZA5322 %>% select(lfdn, jahr, hpidstrk, jpidstrk)
ZA5322 <- ZA5322 %>% rename(PID_2011 = hpidstrk,
PID_2013 = jpidstrk)
#preparing the data set: ZA5770_birth----------------------------------------------
ZA5770_birth <- ZA5770_birth %>%
select(lfdn, jmonat, kmonat, lmonat,mmonat, nmonat)
ZA5770_birth$monat <- ifelse(ZA5770_birth$jmonat >
-95, ZA5770_birth$jmonat,
ifelse(ZA5770_birth$kmonat >
-95, ZA5770_birth$kmonat,
ifelse(ZA5770_birth$lmonat >
-95, ZA5770_birth$lmonat,
ifelse(ZA5770_birth$mmonat >
-95, ZA5770_birth$mmonat,
ifelse(ZA5770_birth$nmonat >
-95, ZA5770_birth$nmonat, NA)))))
ZA5770_birth <- ZA5770_birth %>% select(lfdn,monat)
#preparing the data set: ZA5320_birth----------------------------------------------
ZA5320_birth <- ZA5320_birth %>%
select(id, cmonat, dmonat, emonat)
ZA5320_birth$monat <- ifelse(ZA5320_birth$cmonat <
13, ZA5320_birth$cmonat,
ifelse(ZA5320_birth$dmonat <
13, ZA5320_birth$dmonat,
ifelse(ZA5320_birth$emonat <
13, ZA5320_birth$emonat, NA)))
ZA5320_birth <- ZA5320_birth %>% select(id,monat)
#preparing the data set: ZA5321_birth----------------------------------------------
ZA5321_birth <- ZA5321_birth %>%
select(lfdn, dmonat, emonat, fmonat, jmonat)
ZA5321_birth$monat <- ifelse(ZA5321_birth$dmonat <
13, ZA5321_birth$dmonat,
ifelse(ZA5321_birth$emonat <
13, ZA5321_birth$emonat,
ifelse(ZA5321_birth$fmonat <
13, ZA5321_birth$fmonat,
ifelse(ZA5321_birth$jmonat <
13, ZA5321_birth$jmonat, NA))))
ZA5321_birth <- ZA5321_birth %>% select(lfdn,monat)
#preapring the data set: ZA5322_birth----------------------------------------------
ZA5322_birth <- ZA5322_birth %>%
select(lfdn, fmonat, gmonat, jmonat)
ZA5322_birth$monat <- ifelse(ZA5322_birth$fmonat <
13, ZA5322_birth$fmonat,
ifelse(ZA5322_birth$gmonat <
13, ZA5322_birth$gmonat,
ifelse(ZA5322_birth$jmonat <
13, ZA5322_birth$jmonat, NA)))
ZA5322_birth <- ZA5322_birth %>% select(lfdn,monat)
###################################################################################
###################################################################################
#joining the data set ZA5770 and 5770_birth----------------------------------------
ZA5770_full <- left_join(ZA5770, ZA5770_birth, by = "lfdn", na_matches = "never")
#joining month and year------------------------------------------------------------
ZA5770_full$jahr <- as_factor(ZA5770_full$jahr)
ZA5770_full <- ZA5770_full %>% unite(month_year, monat, jahr, sep = "-") %>%
mutate(month_year = as.yearmon(month_year, "%m-%Y")) %>%
mutate(month_year = as.Date(month_year)) %>%
select(lfdn, month_year, PID_2013, PID_2017)
ZA5770_full$PID_2013 <- as.numeric(ZA5770_full$PID_2013)
ZA5770_full$PID_2017 <- as.numeric(ZA5770_full$PID_2017)
#joining data set ZA5320 and ZA5320_birth------------------------------------------
ZA5320_birth <- ZA5320_birth %>% rename(lfdn = id)
ZA5320_full <- left_join(ZA5320, ZA5320_birth, by = "lfdn", na_matches = "never")
#joining month and year------------------------------------------------------------
ZA5320_full$jahr <- as_factor(ZA5320_full$cjahr)
ZA5320_full <- ZA5320_full %>% unite(month_year, monat, cjahr, sep = "-") %>%
mutate(month_year = as.yearmon(month_year, "%m-%Y")) %>%
mutate(month_year = as.Date(month_year)) %>%
select(-jahr)
ZA5320_full$PID_2002 <- as.numeric(ZA5320_full$PID_2002)
ZA5320_full$PID_2005 <- as.numeric(ZA5320_full$PID_2005)
ZA5320_full$PID_2009 <- as.numeric(ZA5320_full$PID_2009)
#joining data set ZA5321 and ZA5321_birth------------------------------------------
ZA5321_full <- left_join(ZA5321, ZA5321_birth, by = "lfdn", na_matches = "never")
#joining month and year------------------------------------------------------------
ZA5321_full$jahr <- as_factor(ZA5321_full$jahr)
ZA5321_full <- ZA5321_full %>% unite(month_year, monat, jahr, sep = "-") %>%
mutate(month_year = as.yearmon(month_year, "%m-%Y")) %>%
mutate(month_year = as.Date(month_year))
ZA5321_full$PID_2005 <- as.numeric(ZA5321_full$PID_2005)
ZA5321_full$PID_2007 <- as.numeric(ZA5321_full$PID_2007)
ZA5321_full$PID_2009 <- as.numeric(ZA5321_full$PID_2009)
ZA5321_full$PID_2011 <- as.numeric(ZA5321_full$PID_2011)
ZA5321_full$PID_2013 <- as.numeric(ZA5321_full$PID_2013)
#joining ZA5322 and ZA5322_birth---------------------------------------------------
ZA5322_full <- left_join(ZA5322, ZA5322_birth, by = "lfdn", na_matches = "never")
#joining month and year------------------------------------------------------------
ZA5322_full$jahr <- as_factor(ZA5322_full$jahr)
ZA5322_full <- ZA5322_full %>% unite(month_year, monat, jahr, sep = "-") %>%
mutate(month_year = as.yearmon(month_year, "%m-%Y")) %>%
mutate(month_year = as.Date(month_year))
ZA5322_full$PID_2011 <- as.numeric(ZA5322_full$PID_2011)
ZA5322_full$PID_2013 <- as.numeric(ZA5322_full$PID_2013)
###################################################################################
###################################################################################
#Saving the data set with merged data ZA5770
save(ZA5770_full, file = "data/ZA5770_full.RData")
#Saving the data set with merged data ZA5320
save(ZA5320_full, file = "data/ZA5320_full.RData")
#Saving the data set with merged data ZA5321
save(ZA5321_full, file = "data/ZA5321_full.RData")
#Saving the data set with merged data ZA5322
save(ZA5322_full, file = "data/ZA5322_full.RData")
###################################################################################