immigration: Small dataset on immigration preferences

In FactorHet: Estimate Heterogeneous Effects in Factorial Experiments Using Grouping and Sparsity

Small dataset on immigration preferences

Description

An example dataset of 100 randomly chosen respondents from the replication data in Hainmueller and Hopkins (2015). Only a small selection of the factors and moderators in the original experiment are included in this example dataset. The full data can be downloaded from the replication archive in "Source" below. The original paper provides more details on all variables. The replication data for Goplerud et al. (2025) provides code to process and analyze the original data using FactorHet.

Usage

immigration

Format

A data frame with 1000 rows and 10 variables:

CaseID

Unique identifier for respondent.

contest_no

Task number (1-5) for each respondent.

choice_id

Identifier for the profile shown, i.e., was it the "left" or "right" profile.

Chosen_Immigrant

Immigrant profile chosen by respondent.

Country

Immigrant's country of origin.

Ed

Immigrant's education level.

Plans

Immigrant's employment plans after arrival.

Gender

Immigrant's gender.

party_ID

Respondent's party identification.

census_div

Level of immigration in respondent's ZIP code.

Source

\Sexpr[results=rd]{tools:::Rd_expr_doi("10.7910/DVN/25505")}

References

Goplerud, Max, Kosuke Imai, and Nicole E. Pashley. 2025. "Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis." arxiv preprint: https://arxiv.org/abs/2201.01357

Hainmueller, Jens and Daniel J. Hopkins. 2015. "The Hidden American Immigration Consensus: A Conjoint Analysis of Attitudes Toward Immigrants." American Journal of Political Science 59(3):529-548.

FactorHet documentation built on April 4, 2025, 5:44 a.m.