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.
A data frame with 1,905 observations on the following 19 variables.
a character for the name of the survey
a numeric for the ESS round
a character for the particular edition of the ESS round
a numeric/unique identifier
a character vector for the country (i.e. the UK)
a character vector for the region of the UK the respondent lives
a numeric vector for if the respondent was born in the UK
a Date for the interview start date
a Date for the interview end date
a numeric vector for if respondent thinks immigrants are generally good or bad for UK's economy. Higher values = good
a numeric vector for if respondent thinks immigrants enrich or undermine UK's culture. Higher values = enrich more than undermine
a numeric vector for if respondent thinks immigrants make UK a better place to live. Higher values = better place to live
a numeric vector for immigration sentiment (i.e.
imwbcnt). Higher values = more pro-immigration sentiment
a numeric vector for the respondent's age in years
a numeric vector for whether the respondent is a woman
a numeric vector for total years of education for the respondent
a numeric vector for whether the respondent is currently unemployed but seeking work
a numeric vector for household income in deciles
a numeric vector for the ideology of the respondent on an 11-point [0:10] scale
See accompanying blog post at http://svmiller.com/blog/2020/03/what-explains-british-attitudes-toward-immigration-a-pedagogical-example/.
European Social Survey, Round 9