1 ESS data sources

Information on ESS data sources used – see also section “ESS party data structure” in manuscript.

Code

library(tidyverse)
library(knitr)

1.1 ESS data sources

ESS data sets from europeansocialsurvey.org/data

DOI references

ESS Round 1 – https://doi.org/10.21338/ess1e06_6
ESS Round 2 – https://doi.org/10.21338/ess2e03_6
ESS Round 3 – https://doi.org/10.21338/ess3e03_7
ESS Round 4 – https://doi.org/10.21338/ess4e04_5
ESS Round 5 – https://doi.org/10.21338/ess5e03_4
ESS Round 6 – https://doi.org/10.18712/ess6e02_5
ESS Round 7 – https://doi.org/10.21338/ess7e02_2
ESS Round 8 – https://doi.org/10.21338/ess8e02_2
ESS Round 9 – https://doi.org/10.21338/ess9e03_1
ESS Round 10 – https://doi.org/10.21338/ess10e03_1
ESS Round 10 – https://doi.org/10.21338/ess10sce03_0 (self-completion)

Data files are imported into R with readstata13

Code

tibble(ESS_file = fs::dir_ls("data-raw/", glob = "*ESS*.dta")) |>
  mutate(
    Round = str_extract(ESS_file, "\\d+") |> as.integer(),
    hash = rlang::hash_file(ESS_file),
    ESS_file = str_remove(ESS_file, "data-raw/")
  ) |>
  relocate(Round, .before = ESS_file) |>
  arrange(Round) |>
  kable()

Round	ESS_file	hash
1	ESS1e06_6.dta	c61f508eb0f5b60e038be2d5793a9f4d
2	ESS2e03_6.dta	1ddea926b393d16417856e1135b29d67
3	ESS3e03_7.dta	f3922c40bf5f37d0d5f1f1553a180898
4	ESS4e04_5.dta	f9455c929aee50fd3ab71a9ec9fd51a4
5	ESS5e03_4.dta	88c340e6a63d88bd7b1e42a2ded830de
6	ESS6e02_5.dta	eb508dfaec9f896851db7cc0de1cc1e9
7	ESS7e02_2.dta	0d413a5724618ff7ec373a48edbf5f0e
8	ESS8e02_2.dta	b1ab85d0a22aa17306e908095269e4dd
9	ESS9e03_1.dta	536f541f23064fd0b46ed7fd8b1e932a
10	ESS10.dta	533b89b4ebda6f58d5aef181b2c42c9b
10	ESS10SC.dta	975db0389d844e25aa669c3d2da4f7ac

Note — The ESS-10 is released with two data files, one for the standard face-to-face interviews and another file for countries with self-completion mode due to the COVID-19 restrictions.

1.2 ESS rounds

Summary of ESS rounds

n – number of responses
n_countries – number of countries in ESS round
inw_first and inw_last – first and last interview

Code

ess_raw <- read_rds("data/02-ess-select.rds")

ess_raw |>
  summarise(
    n = n(),
    n_countries = n_distinct(cntry),
    inw_first = min(year(inw_date), na.rm = TRUE),
    inw_last = max(year(inw_date), na.rm = TRUE),
    .by = "essround"
  ) |>
  arrange(essround)

essround	n	n_countries	inw_first	inw_last
1	42359	22	2002	2003
2	47537	25	2004	2006
3	43000	23	2006	2007
4	56752	29	2008	2010
5	52458	27	2010	2012
6	54673	29	2012	2013
7	40185	21	2014	2015
8	44387	23	2016	2017
9	49519	29	2018	2020
10	58810	30	2020	2022

1.3 Countries

Code

ess_raw |>
  summarise(
    n = n_distinct(cntry),
    countries = paste(unique(sort(cntry)), collapse = ", "),
    .by = "essround"
  ) |>
  arrange(essround)

essround	n	countries
1	22	AT, BE, CH, CZ, DE, DK, ES, FI, FR, GB, GR, HU, IE, IL, IT, LU, NL, NO, PL, PT, SE, SI
2	25	AT, BE, CH, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HU, IE, IS, LU, NL, NO, PL, PT, SE, SI, SK, TR, UA
3	23	AT, BE, BG, CH, CY, DE, DK, EE, ES, FI, FR, GB, HU, IE, NL, NO, PL, PT, RU, SE, SI, SK, UA
4	29	BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IL, LV, NL, NO, PL, PT, RO, RU, SE, SI, SK, TR, UA
5	27	BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IL, LT, NL, NO, PL, PT, RU, SE, SI, SK, UA
6	29	AL, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, HU, IE, IL, IS, IT, LT, NL, NO, PL, PT, RU, SE, SI, SK, UA, XK
7	21	AT, BE, CH, CZ, DE, DK, EE, ES, FI, FR, GB, HU, IE, IL, LT, NL, NO, PL, PT, SE, SI
8	23	AT, BE, CH, CZ, DE, EE, ES, FI, FR, GB, HU, IE, IL, IS, IT, LT, NL, NO, PL, PT, RU, SE, SI
9	29	AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, HR, HU, IE, IS, IT, LT, LV, ME, NL, NO, PL, PT, RS, SE, SI, SK
10	30	AT, BE, BG, CH, CZ, DE, EE, ES, FI, FR, GB, GR, HR, HU, IE, IL, IS, IT, LT, LV, ME, MK, NL, NO, PL, PT, RS, SE, SI, SK