This is a replication data originally set to accompany a blog post and presentation to students at the University of Nottingham in March 2020. However, COVID-19 led to the cancellation of the talk.

ESS9GB

Format

A data frame with 1,905 observations on the following 19 variables.

name

a character for the name of the survey

essround

a numeric for the ESS round

edition

a character for the particular edition of the ESS round

idno

a numeric/unique identifier

cntry

a character vector for the country (i.e. the UK)

region

a character vector for the region of the UK the respondent lives

brncntr

a numeric vector for if the respondent was born in the UK

stintrvw

a Date for the interview start date

endintrvw

a Date for the interview end date

imbgeco

a numeric vector for if respondent thinks immigrants are generally good or bad for UK's economy. Higher values = good

imueclt

a numeric vector for if respondent thinks immigrants enrich or undermine UK's culture. Higher values = enrich more than undermine

imwbcnt

a numeric vector for if respondent thinks immigrants make UK a better place to live. Higher values = better place to live

immigsent

a numeric vector for immigration sentiment (i.e. imbgeco + imueclt + imwbcnt). Higher values = more pro-immigration sentiment

agea

a numeric vector for the respondent's age in years

female

a numeric vector for whether the respondent is a woman

eduyrs

a numeric vector for total years of education for the respondent

uempla

a numeric vector for whether the respondent is currently unemployed but seeking work

hinctnta

a numeric vector for household income in deciles

lrscale

a numeric vector for the ideology of the respondent on an 11-point [0:10] scale

Source

European Social Survey, Round 9

Details

See accompanying blog post at http://svmiller.com/blog/2020/03/what-explains-british-attitudes-toward-immigration-a-pedagogical-example/.