A data frame with 13,960 observations on the following 16 variables.
CaseID
a numeric vector indicating the respondent to which the particular profile corresponds
contest_no
a numeric vector indicating the number of the task to which the profile corresponds
Education
a factor with levels no formal
, 4th grade
, 8th grade
, high school
, two-year college
, college degree
, graduate degree
Gender
a factor with levels female
, male
- Country of Origin
a factor with levels India
, Germany
, France
, Mexico
, Philippines
, Poland
, China
, Sudan
, Somalia
, Iraq
- Reason for Application
a factor with levels reunite with family
, seek better job
, escape persecution
Job
a factor with levels janitor
, waiter
, child care provider
, gardener
, financial analyst
, construction worker
, teacher
, computer programmer
, nurse
, research scientist
, doctor
- Job Experience
a factor with levels none
, 1-2 years
, 3-5 years
, 5+ years
- Job Plans
a factor with levels will look for work
, contract with employer
, interviews with employer
, no plans to look for work
- Prior Entry
a factor with levels never
, once as tourist
, many times as tourist
, six months with family
, once w/o authorization
- Language Skills
a factor with levels fluent English
, broken English
, tried English but unable
, used interpreter
Chosen_Immigrant
a numeric vector denoting whether the immigrant profile was selected
ethnocentrism
a numeric vector
profile
a numeric vector giving the profile number
LangPos
a numeric vector
PriorPos
a numeric vector