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.
Format
A data frame with 1,905 observations on the following 19 variables.
namea character for the name of the survey
essrounda numeric for the ESS round
editiona character for the particular edition of the ESS round
idnoa numeric/unique identifier
cntrya character vector for the country (i.e. the UK)
regiona character vector for the region of the UK the respondent lives
brncntra numeric vector for if the respondent was born in the UK
stintrvwa Date for the interview start date
endintrvwa Date for the interview end date
imbgecoa numeric vector for if respondent thinks immigrants are generally good or bad for UK's economy. Higher values = good
imueclta numeric vector for if respondent thinks immigrants enrich or undermine UK's culture. Higher values = enrich more than undermine
imwbcnta numeric vector for if respondent thinks immigrants make UK a better place to live. Higher values = better place to live
immigsenta numeric vector for immigration sentiment (i.e.
imbgeco+imueclt+imwbcnt). Higher values = more pro-immigration sentimentageaa numeric vector for the respondent's age in years
femalea numeric vector for whether the respondent is a woman
eduyrsa numeric vector for total years of education for the respondent
uemplaa numeric vector for whether the respondent is currently unemployed but seeking work
hinctntaa numeric vector for household income in deciles
lrscalea numeric vector for the ideology of the respondent on an 11-point scale, from 0 to 10
Details
See accompanying blog post at http://svmiller.com/blog/2020/03/what-explains-british-attitudes-toward-immigration-a-pedagogical-example/.