immigrationdata {CRTConjoint}

Immigration Choice Conjoint Experiment Data from Hainmueller et. al. (2014).

Description

This dataset is a subset of the first 1000 rows chosen from the original immigration dataset. Each row consists of a pair of immigrant candidates that were shown to respondents. The respondent then chooses either the left or right profile (main binary response) from the nine profile factors shown for each candidate. Respondent characteristics are also recorded. For example, the first row shows that the left immigrant candidate was a Male from Iraq who had a high school degree, etc. while the right immigrant candidate was a Female from France with no formal education, etc. The respondent who evaluated this task was a 20 year old college educated White Male, who voted for the left immigrant candidate.

Usage

immigrationdata

Format

A data frame with 1000 rows and 23 variables:

FeatEd

Education of left candidate containing levels: "College Degree", "Graduate Degree", "Eighth Grade", "Fourth Grade", "High School", "Two Years of College", and "No Education"

FeatGender

Gender of left candidate containing levels: "Female" and "Male"

FeatCountry

Country of origin of left candidate containing levels: "Poland", "France", "Iraq", "Somalia", "Sudan", "China", "Mexico", "Germany", "Philippines", and "India"

FeatReason

Reason for immigration of left candidate containing levels: "Escape political/religious persecution", "Reunite with family members", and "Seek better job"

FeatJob

Occupation of left candidate containing levels: "Waiter", "Child care provider", "Teacher", "Nurse", "Construction worker", "Janitor", "Gardener", "Financial analyst", "Computer programmer", "Research scientist", and "Doctor"

FeatExp

Job Experience of left candidate containing levels: "More than five years", "No job training", "One-two years", and "Three-five years"

FeatPlans

Job Plans of left candidate containing levels: "Does not contract with U.S. employer but have job interview", "No Contract", "No plans", and "Will look for work after arriving"

FeatTrips

Trips to U.S. of left candidate containing levels: "Entered U.S. once without legal authorization", "Entered U.S. once before on tourist visa", "Multiple visits on tourist visa", "Never visited", and "Spent six months with family in U.S."

FeatLang

Language of left candidate containing levels: "Used interpreter", "Broken English", "Unable to speak English", and "Fluent English"

FeatEd_2

Education of right candidate containing levels: "College Degree", "Graduate Degree", "Eighth Grade", "Fourth Grade", "High School", "Two Years of College", and "No Education"

FeatGender_2

Gender of right candidate containing levels: "Female" and "Male"

FeatCountry_2

Country of origin of right candidate containing levels: "Poland", "France", "Iraq", "Somalia", "Sudan", "China", "Mexico", "Germany", "Philippines", and "India"

FeatReason_2

Reason for immigration of right candidate containing levels: "Escape political/religious persecution", "Reunite with family members", and "Seek better job"

FeatJob_2

Occupation of right candidate containing levels: "Waiter", "Child care provider", "Teacher", "Nurse", "Construction worker", "Janitor", "Gardener", "Financial analyst", "Computer programmer", "Research scientist", and "Doctor"

FeatExp_2

Job Experience of right candidate containing levels: "More than five years", "No job training", "One-two years", and "Three-five years"

FeatPlans_2

Job Plans of right candidate containing levels: "Does not contract with U.S. employer but have job interview", "No Contract", "No plans", and "Will look for work after arriving"

FeatTrips_2

Trips to U.S. of right candidate containing levels: "Entered U.S. once without legal authorization", "Entered U.S. once before on tourist visa", "Multiple visits on tourist visa", "Never visited", and "Spent six months with family in U.S."

FeatLang_2

Language of right candidate containing levels: "Used interpreter", "Broken English", "Unable to speak English", and "Fluent English"

ppage

Respondent age (numeric variable)

ppeducat

Respondent education containing levels

ppethm

Respondent ethnicity

ppgender

Respondent gender

Y

Binary response variable Y: 1 if left profile is selected and 0 otherwise